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Journal articles on the topic 'Online transactional processing'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

Mohammed Omer Shakeel Ahmed. "Enhancing CRM Decision-Making with HTAP: Leveraging Real-Time Analytics for Competitive Advantage." Journal of Information Systems Engineering and Management 10, no. 23s (2025): 50–57. https://doi.org/10.52783/jisem.v10i23s.3675.

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Customer Relationship Management (CRM) systems traditionally separate transactional and analytical data into distinct layers, with transactional databases optimized for fast writes and analytical data warehouses for read-heavy queries. This separation introduces delays in analytics, hindering real-time insights and timely decision-making. Hybrid Transactional/Analytical Processing (HTAP) offers a unified solution by integrating Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) in a single system. This paper explores the feasibility of applying HTAP in CRM systems, hi

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Abu, Sarwar Zamani, and Kumar Gupta Pankaj. "SOA-Based Distributed System in Online Transaction Processing." Journal of Information Sciences and Computing Technologies 4, no. 1 (2015): 258–64. https://doi.org/10.5281/zenodo.3968720.

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Service Oriented Architecture (SOA) with transactional workflow support is a state- of- the- art architectural style for constructing enterprise application. In this research, rate of progress activities raise distributed service in a coordinated manner, using transaction context propagating message, coordination protocol and compensation logic. We reviewed the past, present and future of transaction processing and transaction integrity. Most of the challenges and requirement that led to the development and evolution of transaction processing system are still applicable today and recently, we

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Anagha, Bhunje, and Ahirrao Swati. "Workload Aware Incremental Repartitioning of NoSQL for Online Transactional Processing Applications." International Journal of Advances in Applied Sciences (IJAAS) 7, no. 1 (2018): 54–65. https://doi.org/10.11591/ijaas.v7.i1.pp54-65.

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Numerous applications are deployed on the web with the increasing popularity of internet. The applications include, 1) Banking applications, 2) Gaming applications, 3) E-commerce web applications. Different applications reply on OLTP (Online Transaction Processing) systems. OLTP systems need to be scalable and require fast response. Today modern web applications generate huge amount of the data which one particular machine and Relational databases cannot handle. The E-Commerce applications are facing the challenge of improving the scalability of the system. Data partitioning technique is used

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Bhunje, Anagha, and Swati Ahirrao. "Workload Aware Incremental Repartitioning of NoSQL for Online Transactional Processing Applications." International Journal of Advances in Applied Sciences 7, no. 1 (2018): 54. http://dx.doi.org/10.11591/ijaas.v7.i1.pp54-65.

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<p><span lang="EN-US">Numerous applications are deployed on the web with the increasing popularity of internet. The applications include, 1) Banking applications,<br /> 2) Gaming applications, 3) E-commerce web applications. Different applications reply on OLTP (Online Transaction Processing) systems. OLTP systems need to be scalable and require fast response. Today modern web applications generate huge amount of the data which one particular machine and Relational databases cannot handle. The E-Commerce applications are facing the challenge of improving the scalability of th

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Iqbal Alamsyah, Muhammad, Ferry Kosadi, and Ridwan Ridwan. "TRAINING AND MENTORING FOR ONLINE-BASED TRANSACTION RECORDING (ONLINE TRANSACTION PROCESSING SYSTEMS-OLTP)." PICS-J Pasundan International of Community Service Journal, Issue Volume 5 No, 1 june 2023 (June 30, 2023): 1–10. http://dx.doi.org/10.23969/picsj.v5i1.6744.

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Virageawie is a company that consists of bamboo craftsmen. We see that there is a need for support for increasing partner empowerment, especially in improving partner management capabilities. The problem is, in its activities/operations the use of digital media for transactions made has not provided convenience and speed in the process of transactional reporting and financial reports. There are obstacles including technical capabilities in the use of information technology, the process of correction and reconciliation of data received from each provider, and conversion to a format that is foll

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Sucharitha, Shetty, Dinesh Rao B., and Prabhu Srikanth. "Growth of relational model: Interdependence and complementary to big data." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 2 (2021): 1780–95. https://doi.org/10.11591/ijece.v11i2.pp1780-1795.

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A database management system is a constant application of science that provides a platform for the creation, movement, and use of voluminous data. The area has witnessed a series of developments and technological advancements from its conventional structured database to the recent buzzword, bigdata. This paper aims to provide a complete model of a relational database that is still being widely used because of its well known ACID properties namely, atomicity, consistency, integrity and durability. Specifically, the objective of this paper is to highlight the adoption of relational model approac

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Camilleri, Carl, Joseph G. Vella, and Vitezslav Nezval. "HTAP With Reactive Streaming ETL." Journal of Cases on Information Technology 23, no. 4 (2021): 1–19. http://dx.doi.org/10.4018/jcit.20211001.oa10.

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In database management systems (DBMSs), query workloads can be classified as online transactional processing (OLTP) or online analytical processing (OLAP). These often run within separate DBMSs. In hybrid transactional and analytical processing (HTAP), both workloads may execute within the same DBMS. This article shows that it is possible to run separate OLTP and OLAP DBMSs, and still support timely business decisions from analytical queries running off fresh transactional data. Several setups to manage OLTP and OLAP workloads are analysed. Then, benchmarks on two industry standard DBMSs empir

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Gaffney, Kevin P., Robert Claus, and Jignesh M. Patel. "Database isolation by scheduling." Proceedings of the VLDB Endowment 14, no. 9 (2021): 1467–80. http://dx.doi.org/10.14778/3461535.3461537.

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Transaction isolation is conventionally achieved by restricting access to the physical items in a database. To maximize performance, isolation functionality is often packaged with recovery, I/O, and data access methods in a monolithic transactional storage manager. While this design has historically afforded high performance in online transaction processing systems, industry trends indicate a growing need for a new approach in which intertwined components of the transactional storage manager are disaggregated into modular services. This paper presents a new method to modularize the isolation c

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Lenka, Swagatika, and Ravindra Tiwari. "A Hybrid ML and Data Science Approach to Detect Online Fraud Transaction at Real Time." Journal of Neonatal Surgery 14, no. 1S (2025): 765–75. https://doi.org/10.52783/jns.v14.1601.

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To safeguard customers and financial institutions, the swift growth of online transactions calls for strong fraud detection systems. To identify online fraud in real time, this study suggests a mixed machine learning (ML) and data science strategy. Through the integration of many data mining methodologies, such as supervised and unsupervised learning algorithms, the research endeavours to detect trends and anomalies suggestive of fraudulent activity. A comprehensive knowledge of transaction behaviours is made possible by the methodology's emphasis on dynamic feature extraction and selection, w

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Abbassi, Hanae, Saida El Mendili, and Youssef Gahi. "Real-Time Online Banking Fraud Detection Model by Unsupervised Learning Fusion." HighTech and Innovation Journal 5, no. 1 (2024): 185–99. http://dx.doi.org/10.28991/hij-2024-05-01-014.

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Digital trades and payments are becoming increasingly popular, as they typically entail monetary transactions. This not only makes electronic transactions more convenient for the end customer, but it also raises the likelihood of fraud. An adequate fraud detection system with a cutting-edge model is critical to minimizing fraud costs. Identifying fraud at the ideal time entails establishing and setting up ubiquitous systems to consume and analyze massive amounts of streaming data. Recent advances in data analytics methods and introducing open-source technology for big data storage and processi

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Gupta, Suraj. "Fraud Detection System Using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 2423–26. https://doi.org/10.22214/ijraset.2025.68721.

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Abstract: Intoday’s digitalenvironment frauddetectionisamajorproblemthat impactsfinancialservices, e-commerce, banking and insurance.Because online transactions are growing so quickly, scammers are always coming up with new ways to get around established security measures. Because of their restricted feature extraction capabilities and dependence on predefined rules, traditional rule-based and machine learning approaches frequently fall short in identifying complexfraudpatterns. Inthisstudy,weinvestigatetheuseofdeep learningtechniquesforfraud detection, suchasLongShort-TermMemory(LSTM) network

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Wijaya, Andri, Mutia Maharani, and Meilinda. "IMPLEMENTASI PENDEKATAN AGILE UNTUK PENGEMBANGAN OLAP DATA PENJUALAN." ZONAsi: Jurnal Sistem Informasi 6, no. 1 (2024): 222–31. http://dx.doi.org/10.31849/zn.v6i1.17337.

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Sales data in large quantities are difficult to process and report using Microsoft Excel, which takes a long time. The proposed solution is to use Online Analytical Processing, a method that allows for faster decision-making through multidimensional data manipulation. In developing Online Analytical Processing for sales data, an agile approach is applied. With Online Analytical Processing, access to and display of transactional data becomes more efficient, improving analysis quality and supporting management decisions. Research results show that the prototype accelerates sales reports with a r

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Jadhawar, B. A., and Narendra Sharma. "An Intelligent Optimized Compression Framework for Columnar Database." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 33, no. 01 (2025): 29–53. https://doi.org/10.1142/s0218488525500023.

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Instead of storing data in rows, a columnar database is a type of Database Management System (DBMS). To speed up the processing and reply to a question, a columnar database’s job is to efficiently write and read data to and from hard disc storage. One of the most crucial methods in the creation of column-oriented database systems is compression. For columns with Zero-length string types, all heavier and light-in-weight compression techniques have limitations. Processing of transactions online, these databases are substantially more effective for online analytical processing than for online tra

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Kim, Juhyun, and Changjoo Moon. "The Distributed HTAP Architecture for Real-Time Analysis and Updating of Point Cloud Data." Electronics 12, no. 18 (2023): 3959. http://dx.doi.org/10.3390/electronics12183959.

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Updating the most recent set of point cloud data is critical in autonomous driving environments. However, existing systems for point cloud data management often fail to ensure real-time updates or encounter situations in which data cannot be effectively refreshed. To address these challenges, this study proposes a distributed hybrid transactional/analytical processing architecture designed for the efficient management and real-time processing of point cloud data. The proposed architecture leverages both columnar and row-based tables, enabling it to handle the substantial workloads associated w

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CHEN, HUI. "EFFICIENTLY MINING RECENT FREQUENT PATTERNS OVER ONLINE TRANSACTIONAL DATA STREAMS." International Journal of Software Engineering and Knowledge Engineering 19, no. 05 (2009): 707–25. http://dx.doi.org/10.1142/s0218194009004325.

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Recent emerging applications, such as network traffic analysis, web click stream mining, power consumption measurement, sensor network data analysis, and dynamic tracing of stock fluctuation, call for study of a new kind of data, stream data. Many data stream management systems, prototype systems and software components have been developed to manage the streams or extract knowledge from stream data. Mining frequent patterns is a foundational job for the methods of data mining and knowledge discovery. This paper proposes an algorithm for mining the recent frequent patterns over an online data s

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Afrianda, Rio, Veithzal Rivai Zainal, and Indra Siswanti. "Business Intelligence Strategy for Company Business Development Using Online Analytical Processing." Indikator: Jurnal Ilmiah Manajemen dan Bisnis 7, no. 3 (2023): 51. http://dx.doi.org/10.22441/indikator.v7i3.19171.

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The purpose of this article is to discuss Business Intelligence and its role in increasing a company's competitive advantage through the utilization of various data, information and knowledge owned by a company as a raw material in the decision-making process. The method used in this article uses Online Analytical Processing. The results of the research are (1) data analysis has become a major and vital requirement in efforts to increase the business competitiveness of an organization or company; (2) entrepreneur-style decision making that tends to rely on intuition becomes less suitable in th

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Ichwandi, Valencia Novita, and Dewi Mustikasari Immanuel. "PERAN KONTRAK PSIKOLOGIS KONSUMEN TERHADAP BRAND LOVE DAN POSITIVE WORD OF MOUTH DALAM MEMENGARUHI REPURCHASE INTENTION KONSUMEN BENGKEL MOBIL X." Parsimonia - Jurnal Ekonomi dan Bisnis 11, no. 1 (2024): 19–35. http://dx.doi.org/10.33479/parsimonia.v11i1.923.

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The purpose of this research is to analyze the influence of Transactional Psychological Contracts, Relational Psychological Contracts, Brand love, Positive Word of Mouth, and Repurchase Intention on Bengkel Mobil X. This research uses a quantitative approach, data collection is carried out through the distribution of online questionnaires to 230 respondents who have met the criteria. The sampling technique used is non-probability sampling. In this study, the results of data processing were tested using Smart-PLS 3.0. The results of this study show that Transactional Psychological Contact and R

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Jayadi, Anastasia Cindy, and Sanny Ekawati. "The Effect of Motivation and Transactional Leadership Style on Employee Job Satisfaction at Cable Company in Indonesia." International Journal of Application on Economics and Business 1, no. 1 (2023): 628–34. http://dx.doi.org/10.24912/v1i1.628-634.

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The purpose of this study is to determine the relationship between motivation and transactional leadership style on employee job satisfaction at a cable company in Indonesia. Ali et al. [1] and Amin et al. [2] found that transactional leadership style had insignificant effect to job satisfaction. Moreover, a study conducted by Anghelache [3] discovered that there is insignificant effect between motivation and job satisfaction. In this study, the sample size was 75 respondents who worked for a cable company in Indonesia. This study’s sampling method was purposive sampling by distributing online

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Jayadi, Anastasia Cindy, and Sanny Ekawati. "The Effect of Motivation and Transactional Leadership Style on Employee Job Satisfaction at Cable Company in Indonesia." International Journal of Application on Economics and Business 1, no. 1 (2023): 628–34. http://dx.doi.org/10.24912/ijaeb.11.628-634.

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The purpose of this study is to determine the relationship between motivation and transactional leadership style on employee job satisfaction at a cable company in Indonesia. Ali et al. [1] and Amin et al. [2] found that transactional leadership style had insignificant effect to job satisfaction. Moreover, a study conducted by Anghelache [3] discovered that there is insignificant effect between motivation and job satisfaction. In this study, the sample size was 75 respondents who worked for a cable company in Indonesia. This study’s sampling method was purposive sampling by distributing online

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Jayadi, Anastasia Cindy, and Sanny Ekawati. "The Effect of Motivation and Transactional Leadership Style on Employee Job Satisfaction at Cable Company in Indonesia." International Journal of Application on Economics and Business 1, no. 1 (2023): 628–34. http://dx.doi.org/10.24912/ijaeb.v1i1.628-634.

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The purpose of this study is to determine the relationship between motivation and transactional leadership style on employee job satisfaction at a cable company in Indonesia. Ali et al. [1] and Amin et al. [2] found that transactional leadership style had insignificant effect to job satisfaction. Moreover, a study conducted by Anghelache [3] discovered that there is insignificant effect between motivation and job satisfaction. In this study, the sample size was 75 respondents who worked for a cable company in Indonesia. This study’s sampling method was purposive sampling by distributing online

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Widiadnyana, Putu, M. Azman Maricar, I. Nyoman Arnawan, and Sri Ariyani. "Analysis of Data Warehouse for Transactional Analysis Methods Online Analytical Processing (OLAP) at Company XYZ Silver." International Journal of Engineering and Emerging Technology 2, no. 1 (2017): 72. http://dx.doi.org/10.24843/ijeet.2017.v02.i01.p15.

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Utilization of information technology is a necessity in looking at opportunities available for decision making by the management. With the ability of information technology to analyze existing used the data into useful information for a company. OLAP is Able to Overcome problems in the data processing mechanisms guided to know various information from different angles. By utilizing transactional analysis, then we know the reaction of customers in choosing the products that we will market. The result of Web-based sales has Decreased for the Gianyar and Denpasar regions but has Increased for the

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Razu Ahmed, Md, Mst Arifa Khatun, Md Asraf Ali, and Kenneth Sundaraj. "A literature review on NoSQL database for big data processing." International Journal of Engineering & Technology 7, no. 2 (2018): 902. http://dx.doi.org/10.14419/ijet.v7i2.12113.

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Objective: Aim of the present study was to literature review on the NoSQL Database for Big Data processing including the structural issues and the real-time data mining techniques to extract the estimated valuable information.Methods: We searched the Springer Link and IEEE Xplore online databases for articles published in English language during the last seven years (between January 2011 and December 2017). We specifically searched for two keywords (“NoSQL” and “Big Data”) to find the articles. The inclusion criteria were articles on the use of performance comparison on valuable information pr

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Gaffney, Kevin P., Martin Prammer, Larry Brasfield, D. Richard Hipp, Dan Kennedy, and Jignesh M. Patel. "SQLite." Proceedings of the VLDB Endowment 15, no. 12 (2022): 3535–47. http://dx.doi.org/10.14778/3554821.3554842.

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In the two decades following its initial release, SQLite has become the most widely deployed database engine in existence. Today, SQLite is found in nearly every smartphone, computer, web browser, television, and automobile. Several factors are likely responsible for its ubiquity, including its in-process design, standalone codebase, extensive test suite, and cross-platform file format. While it supports complex analytical queries, SQLite is primarily designed for fast online transaction processing (OLTP), employing row-oriented execution and a B-tree storage format. However, fueled by the ris

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Meher, Dr Dipali, Dr Pallawi Bulakh, and Prof Meena Jabde. "Learning Graph Databases: Neo4j an overview." International Journal of Engineering Applied Sciences and Technology 8, no. 2 (2023): 216–19. http://dx.doi.org/10.33564/ijeast.2023.v08i02.033.

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As the internet is growing day by day, the amount of data being generated is huge. This data includes structured data and unstructured data. The data along with its relationship with other data makes the most powerful and meaningful information. Maximum data exists in the form of the relationship between different or same objects and the noticeable thing is the relationship between the data is more important than the data itself. These relationships are handled efficiently by Relational databases that store data having structures and which have several records. The important point to be noted

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Achmad Rozi, Bagaskoro, Joko Nugroho, Evalina, Jamalus, Denok Sunarsi, Vip Paramarta, Munawaroh,. "Effect of Transformational , Transactional Leadership and Job Satisfaction : Evidence from Information Technology Industries." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (2021): 987–96. http://dx.doi.org/10.17762/itii.v9i1.232.

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This study aims to measure the effect of leadership style (transformational or transactional) on job satisfaction mediated by job perceptions. Data collection was carried out through quantitative questionnaires with simple random sampling via electronic online to the employees of the Information Technology Industries in Banten. The results of the questionnaire returned and valid were 377 respondents. Data processing used the SEM method with SmartPLS 3.0 software. The results of this study concluded that transformational leadership has a positive and significant effect on satisfaction, both dir

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Malasowe, Bridget Ogheneovo, Ejaita Abugor Okpako, ,. Nwanze Chukwudi Ashioba, Patrick Ogholuwarami Ejeh, Arnold Adimabua Ojugo, and Rita Erhovwo Ako. "FePARM: The Frequency-Patterned Associative Rule Mining Framework on Consumer Purchasing-Pattern for Online Shops." Advances in Multidisciplinary & Scientific Research Journal Publications 15, no. 2 (2024): 15–28. http://dx.doi.org/10.22624/aims/cisdi/v15n2p2.

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Transaction data often is a true presentation of consumers’ buying behavior, stored as a set of relational records, which properly harnessed via mining – can help businesses improve their sales volume as a decision support system. Managing such a system can pose many issues to biz such as feature evolution, concept evolution, concept drift, and infinite data length – and often makes it impractical to effectively store such big-data. To curb this, previous studies have assumed data to be stationary in using associative rule mining. This has deprived such systems of the flexibility and adaptiven

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Purwanto, Agus, Ardian Sopa, Riza Primahendra, Sekundina Williana Kusumaningsih, and Rudy Pramono. "PENGARUH GAYA KEPEMIMPINAN TRANSACTIONAL, TRANSFORMATIONAL, AUTHENTIC DAN AUTHORITARIAN TERHADAP KINERJA GURU MADRASAH TSANAWIYAH DI KUDUS." AL-TANZIM: Jurnal Manajemen Pendidikan Islam 4, no. 1 (2020): 70–80. http://dx.doi.org/10.33650/al-tanzim.v4i1.938.

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This study aims to analyze the effect of transactional, transformational, authentic and authoritarian leadership styles on the performance of Madrasah Tsanawiyah teachers in Kudus, Central Java. Teacher performance can be improved when there is a match between work and their expertise, as well as teacher placement in their assignments. This study uses a quantitative approach with survey. The data collection technique was carried out through the distribution of online electronic questionnaires to Madrasah Tsanawiyah teachers in Kudus, Central Java. Data analysis in this study uses SEM (Structur

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Agus, Sustiyono, Fatoni, Asra, Yuniarsih Nani, Rahayu Sri, and Anwar Tasbihul. "Develop Leadership Style Model for Nurse in Indonesian Hospital." Systematic Reviews in Pharmacy 11, no. 8 (2020): 352–61. https://doi.org/10.31838/srp.2020.8.53.

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The purpose of this study was to analyze the influence of Nurse's leadership style on hospital performance, to make models of the influence of Transactional, Transformational, Democratic, Autocratic, Bureaucratic and Charismatic leadership styles on hospital performance. This research method is a quantitative method and data collection is done by distributing electronic questionnaires online with simple random sampling technique to nurses in hospitals in Banten Province, Indonesia. Data processing with PLS and using SmartPLS version 3.0 software. Respondents in this study were 222 nurses f

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SHAMIR, GADI, MICHAEL BEN-OR, and DANNY DOLEV. "A SAFE AND SCALABLE PAYMENT INFRASTRUCTURE FOR TRADE OF ELECTRONIC CONTENT." International Journal of Cooperative Information Systems 07, no. 04 (1998): 331–54. http://dx.doi.org/10.1142/s0218843098000167.

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BARTER (a Backbone ARchitecture for Trade of ElectRonic content) is a payment infrastructure that facilitates digital content trade over an open network. BARTER is designed to operate over a large-scale, global and heterogeneous communication network. The BARTER protocols address two vital requirements, neglected from existing electronic commerce systems: scalability and transactional efficiency. These protocols possess strong properties such as delivery atomicity, agreement validation and the ability to resolve several classes of disputes. BARTER's novelty is twofold: First, BARTER servers ar

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Chowdari Marella, Bhagath Chandra. "Streamlining Big Data Processing with Serverless Architectures for Efficient Analysis." FMDB Transactions on Sustainable Intelligent Networks 1, no. 4 (2024): 242–51. https://doi.org/10.69888/ftsin.2024.000291.

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Big data transformed industries to keep data insights at arm’s reach but was stalled by the inefficiency of proper processing. This paper considers the viability of serverless frameworks to enhance big data processing. We explain how serverless environments process large-scale data pipelines at improved performance with reduced latency. Serverless systems provision resources on demand based on function-as-a-service (FaaS) and event-driven programming models. This work provides an elaborate methodology, dataset description, architecture figure, and empirical results through graphical and tabula

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Dr.Pankaj, Kumar Singh. "E-Commerce's Effects On The Indian Economy." International Journal of Advance and Applied Research S6, no. 12B (2025): 8–20. https://doi.org/10.5281/zenodo.14909644.

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<em>E-commerce is the exchange of money or information using an electronic network, usually the Internet, for the purchase and sale of goods and services. These business interactions take place between businesses and consumers, or between consumers and businesses. E-business and e-commerce are frequently used interchangeably. Transactional processes related to online retail are also occasionally referred to by the term "e-tail." Technologies including supply chain management, online marketing, mobile commerce, electronic fund transfers, online transaction processing, electronic data interchang

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Malasowe, Bridget Ogheneovo, Abugor Ejaita Okpako, Margaret Dumebi Okpor, Patrick Ogholuwarami Ejeh, Arnold Adimabua Ojugo, and Rita Erhovwo Ako. "FePARM: The Frequency-Patterned Associative Rule Mining Framework on Consumer Purchasing-Pattern for Online Shops." Advances in Multidisciplinary & Scientific Research Journal Publications 15 (2024): 15–28. http://dx.doi.org/10.22624/aims/cisdi/v15n2p2-1.

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1Malasowe, Bridget Ogheneovo,, 2Okpako, Abugor Ejaita, 3 , 4Ejeh, Patrick Ogholuwarami, 5Ojugo, Arnold Adimabua & 6 1Department of Computer Science, University of Delta, Agbor, Nigeria 2Department of Cyber Security, University of Delta, Agbor, Nigeria 3Department of Cyber Security, Faculty of Computing, Delta State University of Science and Technology, Ozoro. Nigeria. 4Department of Computer Science, Dennis Osadebay University, Anwai-Asaba, Nigeria 5 Department of Computer Science, Federal University of Petroleum Resources Effurun, Nigeria 6 Department of Computer Science, Federal Universi

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Vishal Sai, Gadige. "Hadoop Based Generic Template for Performing Sentiment Analysis Using Apache PIG." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 3667–774. http://dx.doi.org/10.22214/ijraset.2021.37193.

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Every day over 2.5 quintillion data is generated using various channels like online surveys, transactional data tracking, social media monitoring, etc. Out of these majority of the data is generated using social media platforms. This raw data contains information that can be used for industrial, economic, social and business purposes. To facilitate this, sentiment analysis has become a prospect for various tech-based industry giants to review and analyze their products. Hadoop has been established as one of the best tools for storing, processing, and streaming data in the market. In this paper

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Alfian, Ganjar, Muhammad Fazal Ijaz, Muhammad Syafrudin, M. Alex Syaekhoni, Norma Latif Fitriyani, and Jongtae Rhee. "Customer behavior analysis using real-time data processing." Asia Pacific Journal of Marketing and Logistics 31, no. 1 (2019): 265–90. http://dx.doi.org/10.1108/apjml-03-2018-0088.

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PurposeThe purpose of this paper is to propose customer behavior analysis based on real-time data processing and association rule for digital signage-based online store (DSOS). The real-time data processing based on big data technology (such as NoSQL MongoDB and Apache Kafka) is utilized to handle the vast amount of customer behavior data.Design/methodology/approachIn order to extract customer behavior patterns, customers’ browsing history and transactional data from digital signage (DS) could be used as the input for decision making. First, the authors developed a DSOS and installed it in dif

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Abebe, Michael, Horatiu Lazu, and Khuzaima Daudjee. "Tiresias." Proceedings of the VLDB Endowment 15, no. 11 (2022): 3126–36. http://dx.doi.org/10.14778/3551793.3551857.

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To efficiently store and query a DBMS, administrators must select storage and indexing configurations. For example, one must decide whether data should be stored in rows or columns, in-memory or on disk, and which columns to index. These choices can be challenging to make for workloads that are mixed requiring hybrid transactional and analytical processing (HTAP) support. There is growing interest in system designs that can adapt how data is stored and indexed to execute these workloads efficiently. We present Tiresias , a predictor that learns the cost of data accesses and predicts their late

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Shvetsov, Egor V. "BUSINESS ANALYTICS OF DIGITAL MODELS OF ECONOMIC ACTIVITY PROCESSES." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 11/15, no. 152 (2024): 160–69. https://doi.org/10.36871/ek.up.p.r.2024.11.15.022.

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The author provides key elements of business analytics that can be integrated into digital simulation models of business processes of enterprises based on an analytical review of the state of modern digital systems for collecting, structuring, visualizing, analyzing, forecasting data for making managerial decisions and evaluating the results of decisions made. The article structures and reveals the key elements of business intelligence. Examples of existing information systems in management are given, OLTP — Online Transaction Processing, specialized transactional, BI — Business Intelligence,

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Zhang, Qiang, Xinyu Zhu, J. Leon Zhao, and Liang Liang. "Discovering signals of platform failure risks from customer sentiment: the case of online P2P lending." Industrial Management & Data Systems 122, no. 3 (2022): 666–81. http://dx.doi.org/10.1108/imds-05-2021-0308.

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PurposeDigital platforms have grown significantly in recent years. Although high platform failure risks (PFR) have plagued the industry, the literature has only given this issue scant treatment. Customer sentiments are crucial for platforms and have a growing body of knowledge on its analysis. However, previous studies have overlooked rich contextual information emb`edded in user-generated content (UGC). Confronting the research gap of digital platform failure and drawbacks of customer sentiment analysis, we aim to detect signals of PFR based on our advanced customer sentiment analysis approac

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Adnyana, I. Gede, and I. Made Dwi Jendra Sulastra. "Implementation of Data Backup and Synchronization Based on Identity Column Real Time Data Warehouse." Lontar Komputer : Jurnal Ilmiah Teknologi Informasi 11, no. 1 (2020): 9. http://dx.doi.org/10.24843/lkjiti.2020.v11.i01.p02.

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Failure in the process of loading data from the Online Transactional Processing(OLTP) system to the Normalized Data Store (NDS) database can occur. This caused by a disruption in the network so that the OLTP system is unable to save data to the OLTP and NDS databases. Backup and synchronization data scenarios are needed to maintain data consistency and data availability. In this research, the process of data backup and synchronization is done by providing an identity column for the table in the OLTP database. An identity column is used to give status data, value '0' if the inserting process fa

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Sinaga, Anita Sindar, and Arjon Samuel Sitio. "Big Data Analysis of Covid-19 Spread Based on Distribution Map and Protocol Regulations with Business Intelligence." CCIT Journal 15, no. 1 (2022): 106–14. http://dx.doi.org/10.33050/ccit.v15i1.1609.

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Various parties analyze the total cases of the Corona virus every day to prevent a high level of spread. Big Data technology involves data that is diverse, rapidly changing, super large in size so that conventional technology cannot be handled effectively. Four stages of processing Big Data until the output it produces is information for users, namely acquired, accessed, analytics, and application. Business Intelligence serves to transform operational, transactional data into useful information within the company. Big Data Analytics analyzes information, IDE for current and past business decis

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Wilson, Nicholas. "Which Variables could Enhance Indonesian Consumers’ Intention in Adopting e-Payment as Consumers’ Main Payment Method?" Jurnal Manajemen Bisnis dan Kewirausahaan 5, no. 6 (2021): 667. http://dx.doi.org/10.24912/jmbk.v5i6.11365.

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This study was commenced to fully understand the impact that was given by both Security Risk and Perceived Usefulness in strengthening or enhancing Consumers' Intention to adopt or use E-Payment services as their main payment method every time consumers are conducting any buying or transactional activities toward any stores (either online stores or offline store) which they've visited. Implementing survey method, questionnaires were chosen and implemented as the main tools to collect and gather all of the required data from the respondents. A total of 200 respondents participated in this study

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Jagtap, Nalani. "A Critical Analysis of Machine Learning Techniques for Online Transaction Security." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem35075.

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The widespread adoption of Unified Payments Interface (UPI) as the preferred digital transaction method has led to a sharp increase in fraudulent activities, presenting a considerable challenge to the security and reliability of online payments.Top of Form To address this pressing concern, our project focuses on developing a sophisticated fraud detection system tailored specifically for UPI transactions. We utilize Convolutional Neural Networks (CNNs), an advanced deep learning architecture, to intricately capture the sequence of operations involved in UPI transaction processing. Through exten

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Kosadi, Ferry, Wajib Ginting, and Muhammad Iqbal Alamsyah. "Online Sales And Payment In Smes Financial Reporting Preparation." Jurnal Reviu Akuntansi dan Keuangan 11, no. 1 (2021): 204–23. http://dx.doi.org/10.22219/jrak.v11i1.14762.

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The objective to evaluate relationship between online sales & payment to financial preparation Small & Medium Enterprises. Ecommerce provideautomationtransaction processing through various information technology platforms can have impact in recording transaction and financial reports preparation.Quantitative research method uses Partial Least Square Structural Equation Modeling analysis with descriptive analysis of financial reporting preparation.Result, greatest positive impact Online Payment to Recording Transactions and Online Sales to Financial Statements as well as ability to expl

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Kumar, Biresh, Sharmistha Roy, Anurag Sinha, Celestine Iwendi, and Ľubomíra Strážovská. "E-Commerce Website Usability Analysis Using the Association Rule Mining and Machine Learning Algorithm." Mathematics 11, no. 1 (2022): 25. http://dx.doi.org/10.3390/math11010025.

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The overall effectiveness of a website as an e-commerce platform is influenced by how usable it is. This study aimed to find out if advanced web metrics, derived from Google Analytics software, could be used to evaluate the overall usability of e-commerce sites and identify potential usability issues. It is simple to gather web indicators, but processing and interpretation take time. This data is produced through several digital channels, including mobile. Big data has proven to be very helpful in a variety of online platforms, including social networking and e-commerce websites, etc. The shee

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Jing, Changhong, Wenjie Liu, Jintao Gao, and Ouya Pei. "Research and implementation of HTAP for distributed database." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 39, no. 2 (2021): 430–38. http://dx.doi.org/10.1051/jnwpu/20213920430.

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Data processing can be roughly divided into two categories, online transaction processing OLTP(on-line transaction processing) and online analytical processing OLAP(on-line analytical processing). OLTP is the main application of traditional relational databases, and it is some basic daily transaction processing, such as bank pipeline transactions and so on. OLAP is the main application of the data warehouse system, it supports some more complex data analysis operations, focuses on decision support, and provides popular and intuitive analysis results. As the amount of data processed by enterpri

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Li, Junru, Youyou Lu, Yiming Zhang, et al. "SwitchTx." Proceedings of the VLDB Endowment 15, no. 11 (2022): 2881–94. http://dx.doi.org/10.14778/3551793.3551838.

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Online-transaction-processing (OLTP) applications require the underlying storage system to guarantee consistency and serializability for distributed transactions involving large numbers of servers, which tends to introduce high coordination cost and cause low system performance. In-network coordination is a promising approach to alleviate this problem, which leverages programmable switches to move a piece of coordination functionality into the network. This paper presents a fast and scalable transaction processing system called SwitchTx. At the core of SwitchTx is a decentralized multi-switch

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Soni, Tulesh. "Online Payment Fraud Detection." International Journal for Research in Applied Science and Engineering Technology 13, no. 1 (2025): 1090–94. https://doi.org/10.22214/ijraset.2025.66510.

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This research explores innovative approaches to detecting fraudulent transactions by leveraging advanced machine learning algorithms and data analytics techniques. By analyzing real-world transaction datasets, the study aims to identify behavioral patterns and anomalies indicative of fraud. The proposed methodology incorporates supervised learning models, such as Random Forest and Gradient Boosting, alongside feature engineering to enhance detection accuracy. Furthermore, real-time detection mechanisms are examined to mitigate risks during online payment processing. Experimental results demons

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Dandy, Dandy, and Rino Rino. "Implementation of Business Intelligence in Data Superstore Sales with Online Analytical Processing Method." bit-Tech 3, no. 2 (2021): 44–50. http://dx.doi.org/10.32877/bt.v3i2.182.

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Transaction data in superstore sales data are very useful for company development, can be used to describe and forecast or predict future sales transaction data and to study the past about business opportunities and challenges. The use of Business Intelligence (BI) technology can help analyze large amounts of data, in addition, BI is a powerful tool for quality analysis and company analysis. This study designed an information system using the BI approach to analyze transaction data on superstore sales data. The research focus is on report data, namely superstore sales data regarding sales tran

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Rahman, Raihan Muhammad Rizki, and Much Aziz Muslim. "Online payment fraud prediction with machine learning approach using naive bayes algorithm." Journal of Student Research Exploration 2, no. 2 (2024): 111–19. http://dx.doi.org/10.52465/josre.v2i2.343.

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The increase in e-commerce has provided easy access for the public, but it also opens up opportunities for fraud in online transactions. Payment fraud is also a problem that often arises in transactions through electronic media. This research aims to analyze payment fraud in e-commerce transactions. This research uses a machine learning approach using the Naive Bayes algorithm. This research uses online transaction datasets involving various attributes such as payment and shipping methods. The developed Naive Bayes model achieved an accuracy of 61.03% with K = 7. The evaluation shows a balance

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Yeom, Sanghui, Seungyeon Choi, Jeonghee Chi, and Soyoung Park. "Blockchain-Based Employment Contract System Architecture Allowing Encrypted Keyword Searches." Electronics 10, no. 9 (2021): 1086. http://dx.doi.org/10.3390/electronics10091086.

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We introduce a blockchain-based online employment contract system to protect the rights and interests of both employees and employers. In the proposed model, an employer and a worker can interactively create a new electronic online contract, and the mutually signed contract is saved on a contract blockchain so that the contract becomes certifiable but cannot be forged by the contract signers. In particular, the blockchain in our system provides transactional privacy to protect sensitive personal information such as social identifier, contact information, income, and so forth, contained in the

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Yu, Shidong, Dongsheng Yang, Ying Hao, Mengjia Lian, and Ying Zang. "Visual Analysis of Merchandise Sales Trend Based on Online Transaction Log." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 11 (2020): 2059036. http://dx.doi.org/10.1142/s0218001420590363.

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Online transaction log records the relevant information of the users, commodities and transactions, as well as changes over time, which can help analysts understand commodities’ sales. The existing visualization methods mainly analyze the purchase behavior from the perspective of users, while analyzing the sales trend of commodities can better help merchants to make business decisions. Based on the transaction log, this paper puts forward the visual analysis framework of commodity sales trend and the corresponding data processing algorithm. The concepts of volatility and dynamic performance of

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