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Journal articles on the topic 'Transactional data'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Abdurashitova, Muniskhon. "DATA MODELS AND ARCHITECTURES IN DATA WAREHOUSING." RESEARCH AND EDUCATION 3, no. 3 (2024): 21–25. https://doi.org/10.5281/zenodo.10897094.

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<em>The separation between transactional computing and data analysis ensures that the transactional systems responsible for processing and recording business transactions can operate efficiently and without interruption. Meanwhile, data analysis systems can focus on processing and analyzing large amounts of data to extract valuable insights that can inform business decisions. By employing different data warehousing architectures and models, organizations can separate these two functions, preventing the resource-intensive data analysis processes from interfering with the smooth functioning of t

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Chaubey, Suraj, Abhishek Ram, Deepak Gupta, Abdul Raheman, and Vivek Pandey. "Business Mapping in Context of Web 3.0 using Blockchain Technology." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 1189–96. http://dx.doi.org/10.22214/ijraset.2023.50277.

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Abstract: The foundation of e-commerce is based on conducting transactions and transferring goods online without the need for physical travel. However, cyber threats can pose a risk when it comes to transferring transactional data. Our primary goal is to develop a system that can protect against such mishaps during the process of transmitting transactional data. Additionally, we aim to implement an automated system that ensures error-free transactions. To achieve these objectives, we will leverage the latest technologies such as blockchain and smart contracts. Blockchain technology provides a

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Khan, Mohammad Monirujjaman, Nesat Tasneem RoJa, Faris A. Almalki, and Maha Aljohani. "Revolutionizing E-Commerce Using Blockchain Technology and Implementing Smart Contract." Security and Communication Networks 2022 (May 31, 2022): 1–8. http://dx.doi.org/10.1155/2022/2213336.

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The days of storing data manually are behind us. We are opting for the online form of data storage and transfer. The new era of data digitization comes with its own perks and detriments. Cybersecurity is still a crucial concern today. As more data transfer occurs through an online medium, the risks of a breach and cyberattacks are inevitable. The whole foundation of e-commerce is based on the online transfer of goods and transactions without the need to travel. Transferring transactional data and transactions in e-commerce are prone to cyber threats. Our research’s major objective is to develo

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Kashi, Tejasvi, Kenneth Salem, Jaemyung Kim, and Khuzaima Daudjee. "Eventual Durability." Proceedings of the VLDB Endowment 17, no. 13 (2024): 4733–45. https://doi.org/10.14778/3704965.3704979.

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For latency-critical transactional applications, durability is often what limits performance. That is, executing transactions is fast, but guaranteeing that they are durable is slow. As a result, most of each transaction's latency is attributable to durability. To address this problem, some database systems allow applications to sacrifice durability guarantees in exchange for lower transaction latencies. These ad hoc techniques are effective, but they can make it difficult for applications to understand and manage the risks associated with failures. In this paper, our goal is to offer a more p

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Thomson, Sara Day. "Preserving Transactional Data." International Journal of Digital Curation 11, no. 2 (2017): 126–37. http://dx.doi.org/10.2218/ijdc.v11i2.419.

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This paper is an adaptation of a longer report commissioned by the UK Data Service. The longer report contributes to on-going support for the Big Data Network – a programme funded by the Economic and Social Research Council (ESRC). The longer report can be found at doi:10.7207/twr16-02. This paper discusses requirements for preserving transactional data and the accompanying challenges facing the companies and institutions who aim to re-use these data for analysis or research. It presents a range of use cases – examples of transactional data – in order to describe the characteristics and diffic

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Yousif, Firas Abdulrahman. "Securing Cloud Data Storage through Blockchain-Enhanced Encryption." Journal of Internet Services and Information Security 15, no. 1 (2025): 130–52. https://doi.org/10.58346/jisis.2025.i1.009.

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Blockchain technology has brought a new change in many sectors mainly through provision of decentralized transactional solutions and it is an open, continuously growing list of records, which is distributed and not controlled by centralized authorities. The current regulation is the first one of such kind because it encompasses payment, communication, registration, and monitoring of transactions between members, without the need to have a central authority to manage the needs of the organization. There are however, challenges, which persist for example in data storage and scalability. This pap

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Izadpanah, Ramin, Christina Peterson, Yan Solihin, and Damian Dechev. "PETRA." ACM Transactions on Architecture and Code Optimization 18, no. 2 (2021): 1–26. http://dx.doi.org/10.1145/3446391.

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Emerging byte-addressable Non-Volatile Memories (NVMs) enable persistent memory where process state can be recovered after crashes. To enable applications to rely on persistent data, durable data structures with failure-atomic operations have been proposed. However, they lack the ability to allow users to execute a sequence of operations as transactions. Meanwhile, persistent transactional memory (PTM) has been proposed by adding durability to Software Transactional Memory (STM). However, PTM suffers from high performance overheads and low scalability due to false aborts, logging, and ordering

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Kraft, Peter, Qian Li, Xinjing Zhou, et al. "Epoxy: ACID Transactions across Diverse Data Stores." Proceedings of the VLDB Endowment 16, no. 11 (2023): 2742–54. http://dx.doi.org/10.14778/3611479.3611484.

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Developers are increasingly building applications that incorporate multiple data stores, for example to manage heterogeneous data. Often, these require transactional safety for operations across stores, but few systems support such guarantees. To solve this problem, we introduce Epoxy, a protocol for providing transactions across heterogeneous data stores. We make two contributions. First, we adapt multi-version concurrency control to a cross-data store setting, storing versioning information in record metadata and filtering reads with predicates on metadata so they only see record versions in

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Wang, Wennan, Guoxin Chen, Chiawei Chu, and Wusong Lan. "A Blockchain-Based Continuous Micropayment Scheme Using Lockable Signature." Mathematics 11, no. 16 (2023): 3472. http://dx.doi.org/10.3390/math11163472.

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A blockchain-oriented continuous micropayment system forms an integral element of the digital economy, enabling seamless transactions and encouraging minor purchases. However, due to the inherent throughput constraints of blockchain, payment channels (PCs) are customarily deployed for managing high-volume transactions in an off-chain mode. Despite this, the integration of a PC necessitates a trusted intermediary to safeguard transactional security, thereby imposing an extra security assumption as only the initial and concluding transactions are visible to other system participants. To circumve

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Zhou, Libin, Lu Xing, Yeasir Rayhan, and Walid G. Aref. "GTX: A Write-Optimized Latch-free Graph Data System with Transactional Support." Proceedings of the ACM on Management of Data 3, no. 3 (2025): 1–27. https://doi.org/10.1145/3725305.

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This paper introduces GTX, a standalone main-memory write-optimized graph data system that specializes in structural and graph property updates while enabling concurrent reads and graph analytics through ACID transactions. Recent graph systems target concurrent read and write support while guaranteeing transaction semantics. However, their performance suffers from updates with real-world temporal locality over the same vertices and edges due to vertex-centric lock contentions. GTX has an adaptive delta-chain locking protocol on top of a carefully designed latch-free graph storage. It eliminate

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Rambe, Patient, and Johan Bester. "Financial cost implications of inaccurate extraction of transactional data in large African power distribution utility." Problems and Perspectives in Management 14, no. 4 (2016): 112–23. http://dx.doi.org/10.21511/ppm.14(4).2016.14.

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In view of the increasingly competitive business world, prudent spending and cost recovery have become the driving force for the optimal performance of large public organizations. This study, therefore, examined the cost-effectiveness of a Large Energy Utility (LEU) in a Southern African country by exploring the relationship between extraction of transactional customer data (that is, data on the servicing and repairing energy faults) and the Utility’s recurrent expenditure (especially its technicians’ overtime bill). Using data mining, a large corpus of the LEU Area Centre (AC) data was extrac

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Nikolic, Lazar, Vladimir Dimitrieski, and Milan Celikovic. "An approach for supporting transparent acid transactions over heterogeneous data stores in microservice architectures." Computer Science and Information Systems, no. 00 (2024): 6. http://dx.doi.org/10.2298/csis221210006n.

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Microservice architectures (MSA) are becoming a preferred architectural style for data-driven applications. A transaction within MSA can include remote calls to multiple services, turning it into a distributed transaction. Participating services may have their own data stores running local transactions with varying levels of transactional support and consistency guarantees. Coordinating distributed transactions in such an environment is a key challenge for MSA. The existing approaches are either highly consistent at the expense of scalability or scalable at the expense of consistency. Furtherm

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Shokrgozar, Neda, and Farzad Movahedi Sobhani. "Customer Segmentation of Bank Based on Discovering of Their Transactional Relation by Using Data ‎Mining Algorithms‎." Modern Applied Science 10, no. 10 (2016): 283. http://dx.doi.org/10.5539/mas.v10n10p283.

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In this research, based on financial transactions between bank customers which extracted from bank’s databases we have developed the relational transaction graph and customer’s transactional communication network has been created. Furthermore, using data mining algorithms and evaluation parameters in social network concepts lead us for segmenting of bank customers. The main goal in this research is bank customer’s segmentation by discovering the transactional relationship between them in order to deliver some specified solutions in benefit of some policy about customers equality in banking sys

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Journal, IJSREM. "TRANSACTORY AUTHENTICATION USING KERBEROS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem28321.

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The paper introduces a novel transactional authentication framework for distributed environments, built upon the established Kerberos protocol. This framework tackles the security vulnerabilities inherent in multi-client and server interactions during transactions, ensuring robust authentication, data integrity, and confidentiality. By utilizing the Key Distribution Center's (KDC) trusted third-party function in Kerberos, the framework provides clients with time-limited session tickets, eliminating the requirement for repeated authentication during a transaction. This novel strategy promotes a

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Shah, Chirag Vinalbhai. "Securing Digital Transactions: The Role of AI, Big Data, and Biometric Authentication in Modern Payment Systems." Global Research and Development Journals 9, no. 7 (2024): 15–24. http://dx.doi.org/10.70179/grdjev09i100009.

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In an era where digital transactions are increasingly integral to economic activity, ensuring their security has become paramount. This paper explores the pivotal role of Artificial Intelligence (AI), Big Data, and Biometric Authentication in fortifying modern payment systems against fraud and cyber threats. AI algorithms enhance transaction security through predictive analytics and anomaly detection, while Big Data provides comprehensive insights into transactional patterns and potential vulnerabilities. Biometric authentication, incorporating technologies such as fingerprint recognition, fac

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Rao, M. Venkata Krishna, Ch Suresh, K. Kamakshaiah, and M. Ravikanth. "Prototype Analysis for Business Intelligence Utilization in Data Mining Analysis." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 7 (2017): 30. http://dx.doi.org/10.23956/ijarcsse.v7i7.93.

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Tremendous increase of high availability of more disparate data sources than ever before have raised difficulties in simplifying frequent utility report across multiple transaction systems apart from an integration of large historical data. It is main focusing concept in data exploration with high transactional data systems in real time data processing. This problem mainly occurs in data warehouses and other data storage proceedings in Business Intelligence (BI) for knowledge management and business resource planning. In this phenomenon, BI consists software construction of data warehouse quer

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Spiegelman, Alexander, Guy Golan-Gueta, and Idit Keidar. "Transactional data structure libraries." ACM SIGPLAN Notices 51, no. 6 (2016): 682–96. http://dx.doi.org/10.1145/2980983.2908112.

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Marjudi, Suziyanti, Roziyani Setik, Raja Mohd Tariqi Raja Lope Ahmad, Wan Azlan Wan Hassan, and Aza Azlina Md Kassim. "Utilization of Business Analytics by SMEs In Halal Supply Chain Management Transactions." JOIV : International Journal on Informatics Visualization 7, no. 2 (2023): 407. http://dx.doi.org/10.30630/joiv.7.2.1308.

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Halal supply chain management has transformed beyond food and beverage certification. However, extant literature shows that Halal transaction management still has much to improve in terms of transaction permissibility, with the main gap in understanding Halal businesses and their transactions limited to a system that separately defines e-commerce and financial technology data into its IT business environment. This study aims to demonstrate the usefulness of managing Halal transactions and its permissibility analysis through a proposed Halal Supply Chain Management Transactions (HSCMT) model an

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Lenkart, Joe, and Jen-chien Yu. "Specialized Reference Services at Illinois: Reference Transactional Analysis and Its Implications for Service Providers and Administrators." Reference & User Services Quarterly 56, no. 4 (2017): 268. http://dx.doi.org/10.5860/rusq.56.4.268.

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As reference service environments continue to evolve, service providers and administrators are encountering numerous challenges and opportunities. This article examines the specialized reference services at the University of Illinois. Using reference transactional data from two academic years (69,630 transactions), this study focuses on five specialized service points and two general service points. Moreover, this study analyzed READ Scale scores, duration of the transaction, question type, and subject area covered during these transactions.

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Aljojo, Nahla. "Examining Heterogeneity Structured on a Large Data Volume with Minimal Incompleteness." ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY 9, no. 2 (2021): 30–37. http://dx.doi.org/10.14500/aro.10857.

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While Big Data analytics can provide a variety of benefits, processing heterogeneous data comes with its own set of limitations. A transaction pattern must be studied independently while working with Bitcoin data, this study examines twitter data related to Bitcoin and investigate communications pattern on bitcoin transactional tweet. Using the hashtags #Bitcoin or #BTC on Twitter, a vast amount of data was gathered, which was mined to uncover a pattern that everyone either (speculators, teaches, or the stakeholders) uses on Twitter to discuss Bitcoin transactions. This aim is to determine the

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Yadav, Sandeep. "Leveraging Transactional Data for Analytics: Building Economic Indicators from Wire Transfers, Credit Card, and ACH Transactions." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–5. https://doi.org/10.55041/ijsrem6783.

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Traditional financial metrics for startup companies are often scarce due to the limited availability of public financial data. This paper proposes a novel approach to building leading economic indicators for startups by leveraging transactional data from wire transfers, credit card transactions, and Automated Clearing House (ACH) payments. These data sources provide rich, granular insights into the financial activities of startups, offering a proxy for their operational health and growth trajectories. The methodology involves clustering transactional data based on sender and receiver informati

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Pekunov, Vladimir Viktorovich. "Object-transactional Extension of Cilk++." Программные системы и вычислительные методы, no. 3 (March 2022): 28–34. http://dx.doi.org/10.7256/2454-0714.2022.3.38823.

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In this paper, we consider the problem of developing compact tools that support programming in dynamic transactional memory, implying operational generation of transactional pages, for the Cilk++ language. It is argued that such an implementation requires weakened transaction isolation. The current state of the problem is analyzed. It is noted that the existing solutions are quite cumbersome, although they allow you to work with complex data structures such as lists and trees. It is argued that it is necessary to develop new solutions in the style of minimalism based on the use of specialized

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Melo, David, Saúl Eduardo Pomares-Hernández, Lil María Xibai Rodríguez-Henríquez, and Julio César Pérez-Sansalvador. "Unlocking Blockchain UTXO Transactional Patterns and Their Effect on Storage and Throughput Trade-Offs." Computers 13, no. 6 (2024): 146. http://dx.doi.org/10.3390/computers13060146.

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Blockchain technology ensures record-keeping by redundantly storing and verifying transactions on a distributed network of nodes. Permissionless blockchains have pushed the development of decentralized applications (DApps) characterized by distributed business logic, resilience to centralized failures, and data immutability. However, storage scalability without sacrificing throughput is one of the remaining open challenges in permissionless blockchains. Enhancing throughput often compromises storage, as seen in projects such as Elastico, OmniLedger, and RapidChain. On the other hand, solutions

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Yu, Z., Y. Zuo, and W. C. Xiong. "Concurrency Bug Avoiding Based on Optimized Software Transactional Memory." Scientific Programming 2019 (February 3, 2019): 1–19. http://dx.doi.org/10.1155/2019/9404323.

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Software transactional memory is an effective mechanism to avoid concurrency bugs in multithreaded programs. However, two problems hinder the adoption of such traditional systems in the wild world: high human cost for equipping programs with transaction functionality and low compatibility with I/O calls and conditional variables. This paper presents Convoider to solve these problems. By intercepting interthread operations and designating code among them as transactions in each thread, Convoider automatically transactionalizes target programs without any source code modification and recompiling

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de Jong, C. J., and Linda J. Frederiksen. "CARL Libraries – a Canadian resource-sharing experience." Interlending & Document Supply 43, no. 1 (2015): 22–33. http://dx.doi.org/10.1108/ilds-06-2014-0029.

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Purpose – This study aims to map the current resource-sharing environment in Canada through the lens of its research libraries in general and the University of Alberta in particular. The findings present an interesting view of changing resource sharing patterns and trends. Design/methodology/approach – Interlibrary loan (ILL) transaction data were compiled from annual data reported to the Canadian Association of Research Libraries (CARL) and a case study of the University of Alberta is presented. Findings – The current trend shows declines in both borrowing and lending transactions. Research l

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Roisman, Glenn I., R. Chris Fraley, John D. Haltigan, Elizabeth Cauffman, and Cathryn Booth-Laforce. "Strategic considerations in the search for transactional processes: Methods for detecting and quantifying transactional signals in longitudinal data." Development and Psychopathology 28, no. 3 (2016): 791–800. http://dx.doi.org/10.1017/s0954579416000316.

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AbstractOver the last four decades the transactional model has emerged as a central fixture of modern developmental science. Despite this, we are aware of no principled approach for determining (a) whether it is actually necessary to invoke transactional mechanisms to explain observed patterns of stability in a given domain of adaptive functioning and (b) the extent to which transactional processes, once identified in aggregate, are accounted for by measured domains with which an aspect of adaptive functioning is theoretically in transaction. Leveraging the fact that transactional mechanisms p

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Athanassoulis, Manos. "Transparent Data Transformation." ACM SIGMOD Record 50, no. 2 (2021): 33–34. http://dx.doi.org/10.1145/3484622.3484630.

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A big dichotomy in data system design is the columnvs. row-stores one. The first supports analytical, and the latter transactional workloads. There have been several efforts to bridge the two, especially in light of new hybrid transactional analytical processing workloads.

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Rudy, Rudy, and Natalia Limantara. "Model Data Warehouse dan Business Intelligence untuk Meningkatkan Penjualan pada PT. S." ComTech: Computer, Mathematics and Engineering Applications 2, no. 1 (2011): 418. http://dx.doi.org/10.21512/comtech.v2i1.2774.

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Today a lot of companies use information system in every business activity. Every transaction is stored electronically in the database transaction. The transactional database does not help much to assist the executives in making strategic decisions to improve the company competitiveness. The objective of this research is to analyze the operational database system and the information needed by the management to design a data warehouse model which fits the executive information needs in PT. S. The research method uses the Nine-Step Methodology data warehouse design by Ralph Kimball. The result i

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Kamran, Muhammad, Muhammad Maaz Rehan, Wasif Nisar, and Muhammad Waqas Rehan. "AHEAD: A Novel Technique Combining Anti-Adversarial Hierarchical Ensemble Learning with Multi-Layer Multi-Anomaly Detection for Blockchain Systems." Big Data and Cognitive Computing 8, no. 9 (2024): 103. http://dx.doi.org/10.3390/bdcc8090103.

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Blockchain technology has impacted various sectors and is transforming them through its decentralized, immutable, transparent, smart contracts (automatically executing digital agreements) and traceable attributes. Due to the adoption of blockchain technology in versatile applications, millions of transactions take place globally. These transactions are no exception to adversarial attacks which include data tampering, double spending, data corruption, Sybil attacks, eclipse attacks, DDoS attacks, P2P network partitioning, delay attacks, selfish mining, bribery, fake transactions, fake wallets o

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Ruppert, Evelyn, and Mike Savage. "Transactional Politics." Sociological Review 59, no. 2_suppl (2011): 73–92. http://dx.doi.org/10.1111/j.1467-954x.2012.02057.x.

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In spring 2009, revelations over the expense claims of British MPs led to one of the most damaging scandals affecting the legitimacy of parliamentary democracy in recent history. This article explores how this incident reveals the capacity of Web 2.0 devices and transactional data to transform politics. It reflects, graphically, the political power of identifying and knowing people on the basis of their transactions, on what they do rather than what they say. It also shows in practice how Web 2.0 devices such as Crowdsourcing, Google Docs, mash-ups and visualization software can be used to mob

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Dash, Manoranjan, and Ng Wil Lie. "Outlier detection in transactional data." Intelligent Data Analysis 14, no. 3 (2010): 283–98. http://dx.doi.org/10.3233/ida-2010-0422.

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Nigrini, Mark J., and Steven J. Miller. "Data Diagnostics Using Second-Order Tests of Benford's Law." AUDITING: A Journal of Practice & Theory 28, no. 2 (2009): 305–24. http://dx.doi.org/10.2308/aud.2009.28.2.305.

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SUMMARY: Auditors are required to use analytical procedures to identify the existence of unusual transactions, events, and trends. Benford's Law gives the expected patterns of the digits in numerical data, and has been advocated as a test for the authenticity and reliability of transaction level accounting data. This paper describes a new second-order test that calculates the digit frequencies of the differences between the ordered (ranked) values in a data set. These digit frequencies approximate the frequencies of Benford's Law for most data sets. The second-order test is applied to four set

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Liu, Xiangwen, Xia Feng, and Yuquan Zhu. "Transactional Data Anonymization for Privacy and Information Preservation via Disassociation and Local Suppression." Symmetry 14, no. 3 (2022): 472. http://dx.doi.org/10.3390/sym14030472.

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Ubiquitous devices in IoT-based environments create a large amount of transactional data on daily personal behaviors. Releasing these data across various platforms and applications for data mining can create tremendous opportunities for knowledge-based decision making. However, solid guarantees on the risk of re-identification are required to make these data broadly available. Disassociation is a popular method for transactional data anonymization against re-identification attacks in privacy-preserving data publishing. The anonymization algorithm of disassociation is performed in parallel, sui

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Eriksson, Kent, and Cecilia Hermansson. "Do consumers subjectively perceive relationships in objectively defined relational, interimistic, and transactional exchange in financial services?" International Journal of Bank Marketing 35, no. 3 (2017): 472–94. http://dx.doi.org/10.1108/ijbm-09-2016-0130.

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Purpose Customer interactions with sellers change as social interactions in society change. The old dichotomy between transaction and relation exchange may no longer be valid as customers form relationships with sellers in new ways. It is against this background that the authors study how customers’ subjective perception of relational exchange appears in objectively defined transactional and relational exchange forms. The authors study one bank’s customers, and, based on objective bank records, the authors identify segments that behave as transactional and relational customers. The authors als

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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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Vinçon, Tobias, Christian Knödler, Leonardo Solis-Vasquez, et al. "Near-data processing in database systems on native computational storage under HTAP workloads." Proceedings of the VLDB Endowment 15, no. 10 (2022): 1991–2004. http://dx.doi.org/10.14778/3547305.3547307.

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Today's Hybrid Transactional and Analytical Processing (HTAP) systems, tackle the ever-growing data in combination with a mixture of transactional and analytical workloads. While optimizing for aspects such as data freshness and performance isolation, they build on the traditional data-to-code principle and may trigger massive cold data transfers that impair the overall performance and scalability. Firstly, in this paper we show that Near-Data Processing (NDP) naturally fits in the HTAP design space. Secondly, we propose an NDP database architecture, allowing transactionally consistent in-situ

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Kaur, Harpreet, Mritunjay Kumar, and Gulshan Kumar. "Performance evaluation of conflict serializability against 2PL in Homogenous Distributed Database." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 7, no. 1 (2013): 510–17. http://dx.doi.org/10.24297/ijct.v7i1.3481.

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There are many techniques in the recent years that provide the synchronization among the transactions using shared data like 2 phase locking protocol and time stamping in distributed database system. These techniques are efficient and provide fast transactional operations and serializable execution of the transactions. But these existing techniques like 2PL abort the transaction when a conflict occurs in transaction actions that result in degradation in the performance. In this dissertation we analyse the purposed techniques that provide the serial execution of the concurrent transactions. To

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Sonam and Dr. Jyoti. "A Data Mining Framework for Enhanced Evaluation of Transactional Data Efficiency." International Research Journal on Advanced Engineering and Management (IRJAEM) 3, no. 03 (2025): 620–22. https://doi.org/10.47392/irjaem.2025.0101.

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Evaluating transactional datasets is crucial for organizations to optimize business processes, derive meaningful patterns, and improve decision-making. This research proposes an improved framework for assessing the efficiency of transactional datasets by utilizing advanced data mining techniques. The framework incorporates association rule mining, clustering, and classification to examine data quality, eliminate redundant attributes, and extract valuable insights. Findings suggest that this framework enhances data interpretability and significantly improves decision-making efficiency.

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Bhasin, Prakhar. "Blockchain-Based Supply Chain Management System." International Journal for Research Publication and Seminars 14, no. 5 (2023): 9–18. http://dx.doi.org/10.36676/jrps.2023-v14i5-02.

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A blockchain-based supply chain management system is a novel solution that uses blockchain technology to increase supply chain transparency, efficiency, and trust. It provides a decentralized and secure platform for product tracking and tracing, transaction verification, and information recording among different stakeholders in a supply chain network. A blockchain is a distributed and decentralized digital ledger that keeps track of transactions across several computers or nodes. Constructing a chain of blocks holding transactional data, assures transparency, immutability, and security.

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Cheng, Audrey, Jack Waudby, Hugo Firth, Natacha Crooks, and Ion Stoica. "Mammoths are Slow: The Overlooked Transactions of Graph Data." Proceedings of the VLDB Endowment 17, no. 4 (2023): 904–11. http://dx.doi.org/10.14778/3636218.3636241.

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This paper argues for better concurrency control to support mammoth transactions , which read and write to many items. While these requests are prevalent on graph data, few systems support them efficiently. Currently, developers must make the uncomfortable choice between accepting dismal performance or abandoning transactional semantics. Applications deserve better: we believe that inherent graph properties provide a path forward to designing efficient concurrency control that preserves strong isolation.

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Arrieta-Salinas, Itziar, José Armendáriz-Iñigo, and Joan Navarro. "Epidemia: Variable Consistency for Transactional Cloud Databases." JUCS - Journal of Universal Computer Science 20, no. (14) (2014): 1876–902. https://doi.org/10.3217/jucs-020-14-1876.

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Classic replication protocols running on traditional cluster-based databases are currently unable to meet the ever-growing scalability demands of many modern software applications. Recent cloud-based storage repositories overcome such limitations by fostering availability and scalability over data consistency and transactional support. However, many applications that cannot resign from their transactional nature are unable to benefit from the cloud paradigm. This paper presents Epidemia, a distributed storage architecture featuring a hybrid approach that combines classic database replication w

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Skatova, Anya, Kate Shiells, and Andy Boyd. "Attitudes towards transactional data donation and linkage in a longitudinal population study: evidence from the Avon Longitudinal Study of Parents and Children." Wellcome Open Research 4 (June 9, 2021): 192. http://dx.doi.org/10.12688/wellcomeopenres.15557.2.

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Background: Commercial transaction records, such as data collected through banking and retail loyalty cards, present a novel opportunity for longitudinal population studies to capture data on participants’ real-world behaviours and interactions. However, little is known about participant attitudes towards donating transactional records for this purpose. This study aimed to: (i) explore the attitudes of longitudinal population study participants towards sharing their transactional records for health research and data linkage; and (ii) explore the safeguards that researchers should consider impl

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Skatova, Anya, Kate Shiells, and Andy Boyd. "Attitudes towards transactional data donation and linkage in a longitudinal population study: evidence from the Avon Longitudinal Study of Parents and Children." Wellcome Open Research 4 (December 3, 2019): 192. http://dx.doi.org/10.12688/wellcomeopenres.15557.1.

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Background: Commercial transaction records, such as data collected through banking and retail loyalty cards, present a novel opportunity for longitudinal population studies to capture data on participants’ real-world behaviours and interactions. However, little is known about participant attitudes towards donating transactional records for this purpose. This study aimed to: (i) explore the attitudes of longitudinal population study participants towards sharing their transactional records for health research and data linkage; and (ii) explore the safeguards that researchers should consider impl

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Poudel, Pavan, and Gokarna Sharma. "Adaptive Versioning in Transactional Memory Systems." Algorithms 14, no. 6 (2021): 171. http://dx.doi.org/10.3390/a14060171.

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Transactional memory has been receiving much attention from both academia and industry. In transactional memory, program code is split into transactions, blocks of code that appear to execute atomically. Transactions are executed speculatively and the speculative execution is supported through data versioning mechanism. Lazy versioning makes aborts fast but penalizes commits, whereas eager versioning makes commits fast but penalizes aborts. However, whether to use eager or lazy versioning to execute those transactions is still a hotly debated topic. Lazy versioning seems appropriate for write-

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Chen, Yanfeng, Minchao Liu, Jiayi Zhang, Aiping Tan, and Yan Wang. "A Three-Party Dynamic Pricing Mechanism for Customized Data Products Based on the Stackelberg Game and Bargaining Model." Symmetry 16, no. 11 (2024): 1540. http://dx.doi.org/10.3390/sym16111540.

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In the era of big data, breaking down data silos to enable efficient data transactions has become essential, with the fairness and transparency of pricing mechanisms being paramount. This study addresses these challenges by introducing a novel tripartite pricing model for customized data products that integrates the Stackelberg and bargaining game frameworks. By designing distinct utility functions for buyers, sellers, and the platform, the model effectively aligns the varying objectives of each participant. A dynamic adjustment mechanism further enhances this model by adaptively recalibrating

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KHAN, PATAN JABIULLA, and SMT. M. VANI. ""THE MULTI-PERSPECTIVE FRAUD DETECTION METHOD FOR MULTI-PARTICIPANT FOR E-COMMERCE TRANSACTIONS"." Journal of Engineering Sciences 16, no. 04 (2025): 174–79. https://doi.org/10.36893/jes.2025.v16i04.029.

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E-commerce platforms have transformed global trade, but the increasing complexity of multi-participant transactions has led to rising concerns about fraudulent activities. Traditional fraud detection systems primarily focus on transactional features, often failing to capture the multi-faceted nature of fraudulent behavior in ecommerce ecosystems involving multiple stakeholders, including buyers, sellers, payment processors, and logistics providers. This study proposes a multi-perspective fraud detection framework that integrates behavioral analysis, transaction monitoring, and anomaly detectio

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Butrovich, Matthew, Samuel Arch, Wan Shen Lim, William Zhang, Jignesh M. Patel, and Andrew Pavlo. "BPF-DB: A Kernel-Embedded Transactional Database Management System For eBPF Applications." Proceedings of the ACM on Management of Data 3, no. 3 (2025): 1–27. https://doi.org/10.1145/3725272.

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Developers rely on the eBPF framework to augment operating system (OS) behavior for the betterment of database management system (DBMS) without having to modify kernel code. But eBPF's verifier limits program complexity and data management functionality. As a result eBPF's storage options are limited to kernel-resident, non-durable data structures that lack transactional guarantees. Inspired by embedded DBMSs for user-space applications, this paper present BPF-DB, an OS-embedded DBMS that offers transactional data management for eBPF applications. We explore the storage management and concurre

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Damodhar, Likhith. "Banking Operations Through Data Analysis." International Scientific Journal of Engineering and Management 04, no. 05 (2025): 1–7. https://doi.org/10.55041/isjem03488.

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Abstract— In the era of digital transformation, the banking industry generates an enormous volume of transactional data every second. Analyzing this data can offer critical insights into customer behavior, operational efficiency, and fraud detection. This study explores a synthetic banking dataset with realistic operations using exploratory data analysis (EDA) techniques. By cleaning, preprocessing, and visualizing data using Python libraries like pandas, matplotlib, and seaborn, we identify key transaction patterns, customer preferences, and temporal usage trends. The study highlights the gro

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Murthy, Uday S., and Guido L. Geerts. "An REA Ontology-Based Model for Mapping Big Data to Accounting Information Systems Elements." Journal of Information Systems 31, no. 3 (2017): 45–61. http://dx.doi.org/10.2308/isys-51803.

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ABSTRACT The term “Big Data” refers to massive volumes of data that grow at an increasing rate and encompass complex data types such as audio and video. While the applications of Big Data and analytic techniques for business purposes have received considerable attention, it is less clear how external sources of Big Data relate to the transaction processing-oriented world of accounting information systems. This paper uses the Resource-Event-Agent Enterprise Ontology (REA) (McCarthy 1982; International Standards Organization [ISO] 2007) to model the implications of external Big Data sources on b

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Ghinita, Gabriel, Panos Kalnis, and Yufei Tao. "Anonymous Publication of Sensitive Transactional Data." IEEE Transactions on Knowledge and Data Engineering 23, no. 2 (2011): 161–74. http://dx.doi.org/10.1109/tkde.2010.101.

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