Log in

Relevant bibliographies by topics / Data analytics map / Journal articles

To see the other types of publications on this topic, follow the link: Data analytics map.

Journal articles on the topic 'Data analytics map'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Data analytics map.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

S.Swarnalatha, K. Vidya. "Big Data Analytics: Map Reduce Function using BIRCH Clustering Algorithm." International Journal of Information Technology 1, no. 3 (2020): 1–7. https://doi.org/10.5281/zenodo.3674245.

Full text

Abstract:

It is well known that, in Big Data information is represented in unstructured form and NoSQL is used for query processing. The volume of data also too large and simple Query processing is not sufficient and irrelevant. From that large volume of data, extracting the knowledgeable information is a  big challenge. To analyze that, various Big Data analytical techniques are available in the market, that uncovers hidden patterns, market trends, customer preferences and other useful information that can help the organization to take useful decisions within less amount of time. For such applicat

APA, Harvard, Vancouver, ISO, and other styles

2

Sukumar, Sreenivas R., Ramachandran Natarajan, and Regina K. Ferrell. "Quality of Big Data in health care." International Journal of Health Care Quality Assurance 28, no. 6 (2015): 621–34. http://dx.doi.org/10.1108/ijhcqa-07-2014-0080.

Full text

Abstract:

Purpose – The current trend in Big Data analytics and in particular health information technology is toward building sophisticated models, methods and tools for business, operational and clinical intelligence. However, the critical issue of data quality required for these models is not getting the attention it deserves. The purpose of this paper is to highlight the issues of data quality in the context of Big Data health care analytics. Design/methodology/approach – The insights presented in this paper are the results of analytics work that was done in different organizations on a variety of h

APA, Harvard, Vancouver, ISO, and other styles

3

Chandra Sekhar Reddy, L., and Dr D. Murali. "YouTube: big data analytics using Hadoop and map reduce." International Journal of Engineering & Technology 7, no. 3.29 (2018): 12. http://dx.doi.org/10.14419/ijet.v7i3.29.18451.

Full text

Abstract:

We live today in a digital world a tremendous amount of data is generated by each digital service we use. This vast amount of data generated is called Big Data. According to Wikipedia, Big Data is a word for large data sets or compositions that the traditional data monitoring application software is pitiful to compress [5]. Extensive data cannot be used to receive data, store data, analyse data, search, share, transfer, view, consult, and update and maintain the confidentiality of information. Google's streaming services, YouTube, are one of the best examples of services that produce a massive

APA, Harvard, Vancouver, ISO, and other styles

4

Shalamberidze, Irakli, and Merab Akhobadze. "Web platform for "Smart City" data collection and analytics." ECONOMIA AGRO-ALIMENTARE, no. 3 (January 2020): 847–54. http://dx.doi.org/10.3280/ecag2019-003015.

Full text

Abstract:

The study aims to highlight that nowadays, finding ways to manage the current processes both in the regions and in cities with big agglomeration is the most important and difficult problem. A fortiori, when it concerns developed regions. While designing urban system development, management, and reconstruction projects, both managers of the cities and urbanists must take into account the opinions of specialists, who have different categories of mindsets and they "talk different languages" (Sociologists, ecologists, businessmen, etc.). Summing up the aforementioned languages in a common denomina

APA, Harvard, Vancouver, ISO, and other styles

5

Roopha Devi, K. G. Rani, R. Mahendra Chozhan, and M. Karthika. "Analysis of Periodontitis using Map Reduce in Big Data Analytics." International Journal of Engineering Trends and Technology 35, no. 5 (2016): 205–10. http://dx.doi.org/10.14445/22315381/ijett-v35p244.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Dobrodey, S. G., and A. V. Borodulya. "Presentation video analytics systems data in the form of heatmaps." «System analysis and applied information science», no. 3 (December 12, 2019): 54–58. http://dx.doi.org/10.21122/2309-4923-2019-3-54-58.

Full text

Abstract:

Describes the method of presentation video analytics data collected for continues time in the form of heatmaps for analysis of the movement of human flows in accumulation sites. The scene is divided into zones where objects are counted. The counting results are stored in the data store with a specified periodicity. The heat map is based on matrix of counters of objects in specific areas of the scene. Over the matrix, the normalization operation is performed and, depending on the value of the elements, the color of the heat map areas is assigned based on the linear color gradient.

APA, Harvard, Vancouver, ISO, and other styles

7

Popelka, Stanislav, Lukáš Herman, Tomas Řezník, et al. "User Evaluation of Map-Based Visual Analytic Tools." ISPRS International Journal of Geo-Information 8, no. 8 (2019): 363. http://dx.doi.org/10.3390/ijgi8080363.

Full text

Abstract:

Big data have also become a big challenge for cartographers, as the majority of big data may be localized. The use of visual analytics tools, as well as comprising interactive maps, stimulates inter-disciplinary actors to explore new ideas and decision-making methods. This paper deals with the evaluation of three map-based visual analytics tools by means of the eye-tracking method. The conceptual part of the paper begins with an analysis of the state-of-the-art and ends with the design of proof-of-concept experiments. The verification part consists of the design, composition, and realization o

APA, Harvard, Vancouver, ISO, and other styles

8

Alaa, Hussein Al-Hamami, and Adel Flayyih Ali. "Enhancing Big Data Analysis by Using Map-reduce Technique." Bulletin of Electrical Engineering and Informatics 7, no. 1 (2018): 113–16. https://doi.org/10.11591/eei.v7i1.895.

Full text

Abstract:

Database is defined as a set of data that is organized and distributed in a manner that permits the user to access the data being stored in an easy and more convenient manner. However, in the era of big-data the traditional methods of data analytics may not be able to manage and process the large amount of data. In order to develop an efficient way of handling big-data, this work enhances the use of Map-Reduce technique to handle big-data distributed on the cloud. This approach was evaluated using Hadoop server and applied on Electroencephalogram (EEG) Big-data as a case study. The proposed ap

APA, Harvard, Vancouver, ISO, and other styles

9

Dupin-Bryant, Pamela A., and David H. Olsen. "Business Intelligence, Analytics And Data Visualization: A Heat Map Project Tutorial." International Journal of Management & Information Systems (IJMIS) 18, no. 3 (2014): 185. http://dx.doi.org/10.19030/ijmis.v18i3.8705.

Full text

Abstract:

Business intelligence and analytics (BI&A) initiatives are helping countless organizations harness and interpret the vast amount of information available in the world today. The explosion of BI&A in industry has fueled the high demand for knowledge workers with advanced analytical skills. The purpose of this paper is to introduce a data visualization project tutorial for Information Systems (IS) education. The applied BI&A tutorial was designed to help students learn how to create and analyze a heat map using SQL Server Data Tools (SSDT) and SQL Server Reporting Services (SSRS). St

APA, Harvard, Vancouver, ISO, and other styles

10

Mamatha, S., and T. Sudha. "A Survey on Big Data Analytics Using HADOOP." Asian Journal of Computer Science and Technology 8, S3 (2019): 35–40. http://dx.doi.org/10.51983/ajcst-2019.8.s3.2091.

Full text

Abstract:

In this digital world, as organizations are evolving rapidly with data centric asset the explosion of data and size of the databases have been growing exponentially. Data is generated from different sources like business processes, transactions, social networking sites, web servers, etc. and remains in structured as well as unstructured form. The term ― Big data is used for large data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Big data varies in size ranging from a few dozen terabytes to many p

APA, Harvard, Vancouver, ISO, and other styles

11

K., Kishore Raju* Yaman Kumar Gunturi. "RealBDA: A REAL TIME BIG DATA ANALYTICS FOR REMOTE SENSING DATA BY USING MAPREDUCE PARADIGM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 1 (2017): 435–42. https://doi.org/10.5281/zenodo.260070.

Full text

Abstract:

Enormous data generated by Satellite sensors, Storage and Processing of Remote Sensing Data is a challenging task due to its variety and volume. This paper studied on real-time Big Data Analytical architecture for remote sensing satellite application. To handle Remote Sensing Data proposed architecture comprises three main units, such as Data Pre-Processing Unit (D<sub>PRE</sub>U), Data Analysis Unit (D<sub>A</sub>U) and Data Post-Processing Unit (D<sub>POST</sub>U). First, D<sub>PRE</sub>U acquires the required data from satellite sensors by using filtration, balanced distributed storage and

APA, Harvard, Vancouver, ISO, and other styles

12

Lee, YoungGun, and Sungbum Park. "Design of a Government Collaboration Service Map by Big Data Analytics." Procedia Computer Science 91 (2016): 751–60. http://dx.doi.org/10.1016/j.procs.2016.07.068.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Vera-Baquero, Alejandro, Ricardo Colomo Palacios, Vladimir Stantchev, and Owen Molloy. "Leveraging big-data for business process analytics." Learning Organization 22, no. 4 (2015): 215–28. http://dx.doi.org/10.1108/tlo-05-2014-0023.

Full text

Abstract:

Purpose – This paper aims to present a solution that enables organizations to monitor and analyse the performance of their business processes by means of Big Data technology. Business process improvement can drastically influence in the profit of corporations and helps them to remain viable. However, the use of traditional Business Intelligence systems is not sufficient to meet today ' s business needs. They normally are business domain-specific and have not been sufficiently process-aware to support the needs of process improvement-type activities, especially on large and complex supply chain

APA, Harvard, Vancouver, ISO, and other styles

14

Kumar, Prashant, and Khushboo Pandeya. "Big Data and Distributed Data Mining: An Example of Future Networks." International Journal of Advance Research and Innovation 1, no. 2 (2013): 12–15. http://dx.doi.org/10.51976/ijari.121303.

Full text

Abstract:

This paper describes the perspective on the analytics of big data generated by sensors and devices on the edge of networks. The paper includes a discussion of the importance of data at the edge of networks where some of ―biggest‖ big data is generated. Also quick overview of emerging technologies, including distributed frameworks such as the Apache Hadoop framework and Apache* Map Reduce.

APA, Harvard, Vancouver, ISO, and other styles

15

Srinivasulu, Dandugala Lakshmi, and K. Suvarna Vani. "Optimal Fuzzy C-means Clustering Technique for Big Data Analytics with Map Reduce based on Hybrid Optimization Algorithm." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10-SPECIAL ISSUE (2019): 1298–310. http://dx.doi.org/10.5373/jardcs/v11sp10/20192975.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Bojkovic, Zoran, and Dragorad Milovanovic. "Mobile cloud analytics in Big data era." WSEAS TRANSACTIONS ON COMPUTER RESEARCH 10 (March 22, 2022): 25–28. http://dx.doi.org/10.37394/232018.2022.10.3.

Full text

Abstract:

Voluminous data are generated from a variety of users and devices and are to be stored and processed in powerful data center. As such, there is a strong demand for building a network infrastructure to gather distributed and rapidly generated data and move them to data center for knowledge discovery. Big data has received considerable attention, because it can mine new knowledge for economic growth and technical innovation. Many research efforts have been directed to big data processing due to its high volume, velocity and variety, referred to as 3V. This paper first describes challenges for bi

APA, Harvard, Vancouver, ISO, and other styles

17

Gorre, Tejasvi. "Innovative Tools and Techniques for Big Data Analytics: Empowering Data-Driven Insights and Decision-Making." Journal of Artificial intelligence and Machine Learning 2, no. 1 (2024): 1–10. https://doi.org/10.55124/jaim.v2i2.241.

Full text

Abstract:

The term "big data" refers to extensive collections of data that are sizable, diverse, and intricate in their structure, presenting challenges in storage, analysis, and visualization for subsequent procedures or outcomes. The activity of investigating massive volumes of data to uncover concealed patterns and undisclosed connections is referred to as big data analytics. Introduction: The concept of Big Data holds significance in handling data that deviates from the conventional structure of traditional databases. Big Data encompasses various pivotal technologies such as, HDFS, No SQL , Map Redu

APA, Harvard, Vancouver, ISO, and other styles

18

Goar, Vishal Kumar, and Nagendra Singh Yadav. "Business Decision Making by Big Data Analytics." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 5 (2022): 22–35. http://dx.doi.org/10.17762/ijritcc.v10i5.5550.

Full text

Abstract:

Information is the key component towards success when it comes to controlling the decision-makers performance with the quality of a decision. In the modern era, an absolute amount of data is available to organizations for analysis usage. Data is the most important component of the business in the 21st century and a significant number of devices are already equipped with the internet. Based on this the solutions should be studied in order to control and capture the knowledge value pair out of the datasets. Following this, the decision-makers should have access to insightful and valuable data ba

APA, Harvard, Vancouver, ISO, and other styles

19

Abhishek, Bajpai, and Sharma Sanjiv. "BIG DATA ANALYSIS IN HEALTH CARE DOMAIN: A SYSTEMATIC REVIEW." INTERNATIONAL JOURNAL OF ENGINEERING TECHNOLOGIES AND MANAGEMENT RESEARCH 5, no. 2 : SE (2018): 1–8. https://doi.org/10.5281/zenodo.1195065.

Full text

Abstract:

As the Volume of the data produced is increasing day by day in our society, the exploration of big data in healthcare is increasing at an unprecedented rate. Now days, Big data is very popular buzzword concept in the various areas. This paper provide an effort is made to established that even the healthcare industries are stepping into big data pool to take all advantages from its various advanced tools and technologies. This paper provides the review of various research disciplines made in health care realm using big data approaches and methodologies. Big data methodologies can be used for th

APA, Harvard, Vancouver, ISO, and other styles

20

Shafeeq, Ur Rahaman. "Predictive Customer Journeys: Leveraging Data Analytics to Map and Influence Digital Touch points." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 9, no. 5 (2021): 1–10. https://doi.org/10.5281/zenodo.14352146.

Full text

Abstract:

The Predictive customer journeys map and shape key points in contact throughout the lifecycle of a customer with a brand, using data analytics. These businesses can identify patterns within significant amounts of customer information that reveal what future behaviors will be like and proactively frame marketing strategies based on where and when they are most apt to execute. This not only enhances the personalization of content within the customer experience but also engagement, satisfaction, and loyalty. Predictive analytics tools harness machine learning, artificial intelligence, and big dat

APA, Harvard, Vancouver, ISO, and other styles

21

Alalwan, Sinan Adnan Diwan. "Diabetic analytics: proposed conceptual data mining approaches in type 2 diabetes dataset." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 1 (2019): 88–95. https://doi.org/10.11591/ijeecs.v14.i1.pp88-95.

Full text

Abstract:

Diabetes is a fast spreading illness, which makes to worry millions of people around the globe. The people affected by type-2 diabetes are rapidly increasing and there are no effective diagnostic systems to control the diabetics. As per global health statistics, in western countries, population effected by type 2 diabetics are higher in rate and cost factor for treatment is increasing. There are no effective methods to eradicate the diabetes and it leads to carry out an investigative study on this disease. In existing reviews, researchers are using data analysis approaches to link the cause fo

APA, Harvard, Vancouver, ISO, and other styles

22

Patel, Jitali, Ruhi Patel, Saumya Shah, and Jigna Ashish Patel. "Big Data analytics for Advanced Viticulture." Scalable Computing: Practice and Experience 22, no. 3 (2021): 303–12. http://dx.doi.org/10.12694/scpe.v22i3.1856.

Full text

Abstract:

Big data analytics involve systematic approach to find hidden patterns to help the organization grow from large volume and variety of data. In recent years big data analytics is widely used in the agricultural domain to improve yield. Viticulture (the cultivation of grapes) is one of the most lucrative farming in India. It is a subdivision of horticulture and is the study of wine growing. The demand for Indian Wine is increasing at about 27% each year since the 21st century and thus more and more ways are being developed to improve the quality and quantity of the wine products. In this paper,

APA, Harvard, Vancouver, ISO, and other styles

23

MakhanKumbhkar*, &. Yashwant Singh Chouhan. "SURVEY PAPER ON BIG DATA PROCESSING AND TECHNOLOGIES." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES [FRTSSDS-18] (June 13, 2018): 84–89. https://doi.org/10.5281/zenodo.1288445.

Full text

Abstract:

Big data is data sets that are so voluminous and complex that traditional data-processing application software is inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications running in clustered systems. It is at the centre of a growing ecosystem of big data technologies that are primarily used to support advanced analytics initiat

APA, Harvard, Vancouver, ISO, and other styles

24

Akshay, Venkatesan, Sehgal Deepanshu, and Sharma Sushant. "Energy Monitoring Platform: A High-Performance Smart Meter Data Analytics Engine." International Journal of Engineering and Advanced Technology (IJEAT) 10, no. 4 (2021): 47–51. https://doi.org/10.35940/ijeat.D2318.0410421.

Full text

Abstract:

4th Industrial revolution or Industry 4.0 is a concept of factories in which machines are augmented with wireless connectivity and sensors, connected to a system that can visualize the entire production line and make decisions on its own. To remain competitive, Industries or factories are one of the major factors leading to the consumption of energy. However, these industries are facing two obstacles. The first one is the low availability of energy and the other is increased cost of the current available energy. Different alternatives like Generators and Inverters have their limitations when i

APA, Harvard, Vancouver, ISO, and other styles

25

Neetu, Anand *1 Tapas Kumar 2. "TWITTER ANALYTICS AND VISUALIZATION USING R." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 7 (2017): 496–501. https://doi.org/10.5281/zenodo.829749.

Full text

Abstract:

It is an era of Internet technology various social networking sites are gain popularity worldwide. The data generated from these sites are growing day by day .Social media plays a very important role in most of the people's life. People communicate freely and share their comments, ideas on numerous events on any of the various social media like Twitter, Google+, Facebook, etc. Their views are useful for generating solutions and creating awareness about several problems .Twitter is the micro blogging site that has become very well-liked all over the world. These days, there is a continuing tren

APA, Harvard, Vancouver, ISO, and other styles

26

Iwendi, Celestine, Suresh Ponnan, Revathi Munirathinam, Kathiravan Srinivasan, and Chuan-Yu Chang. "An Efficient and Unique TF/IDF Algorithmic Model-Based Data Analysis for Handling Applications with Big Data Streaming." Electronics 8, no. 11 (2019): 1331. http://dx.doi.org/10.3390/electronics8111331.

Full text

Abstract:

As the field of data science grows, document analytics has become a more challenging task for rough classification, response analysis, and text summarization. These tasks are used for the analysis of text data from various intelligent sensing systems. The conventional approach for data analytics and text processing is not useful for big data coming from intelligent systems. This work proposes a novel TF/IDF algorithm with the temporal Louvain approach to solve the above problem. Such an approach is supposed to help the categorization of documents into hierarchical structures showing the relati

APA, Harvard, Vancouver, ISO, and other styles

27

Goncalves, Carlos, Luis Assuncao, and Jose C. Cunha. "Flexible MapReduce Workflows for Cloud Data Analytics." International Journal of Grid and High Performance Computing 5, no. 4 (2013): 48–64. http://dx.doi.org/10.4018/ijghpc.2013100104.

Full text

Abstract:

Data analytics applications handle large data sets subject to multiple processing phases, some of which can execute in parallel on clusters, grids or clouds. Such applications can benefit from using MapReduce model, only requiring the end-user to define the application algorithms for input data processing and the map and reduce functions, but this poses a need to install/configure specific frameworks such as Apache Hadoop or Elastic MapReduce in Amazon Cloud. In order to provide more flexibility in defining and adjusting the application configurations, as well as in the specification of the co

APA, Harvard, Vancouver, ISO, and other styles

28

Louise Lemieux, Victoria, Brianna Gormly, and Lyse Rowledge. "Meeting Big Data challenges with visual analytics." Records Management Journal 24, no. 2 (2014): 122–41. http://dx.doi.org/10.1108/rmj-01-2014-0009.

Full text

Abstract:

Purpose – This paper aims to explore the role of records management in supporting the effective use of information visualisation and visual analytics (VA) to meet the challenges associated with the analysis of Big Data. Design/methodology/approach – This exploratory research entailed conducting and analysing interviews with a convenience sample of visual analysts and VA tool developers, affiliated with a major VA institute, to gain a deeper understanding of data-related issues that constrain or prevent effective visual analysis of large data sets or the use of VA tools, and analysing key emerg

APA, Harvard, Vancouver, ISO, and other styles

29

Sivakumar, Karuppan, S. Nithya N., and Ondimuthu Revathy. "Big Data for Health Care Analytics using Extreme Machine Learning Based on Map Reduce." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 2758–62. https://doi.org/10.35940/ijeat.C5808.029320.

Full text

Abstract:

A large volume of datasets is available in various fields that are stored to be somewhere which is called big data. Big Data healthcare has clinical data set of every patient records in huge amount and they are maintained by Electronic Health Records (EHR). More than 80 % of clinical data is the unstructured format and reposit in hundreds of forms. The challenges and demand for data storage, analysis is to handling large datasets in terms of efficiency and scalability. Hadoop Map reduces framework uses big data to store and operate any kinds of data speedily. It is not solely meant for storage

APA, Harvard, Vancouver, ISO, and other styles

30

Zhou, Yuke, Shaohua Wang, and Yong Guan. "An Efficient Parallel Algorithm for Polygons Overlay Analysis." Applied Sciences 9, no. 22 (2019): 4857. http://dx.doi.org/10.3390/app9224857.

Full text

Abstract:

Map overlay analysis is essential for geospatial analytics. Large scale spatial data pressing poses challenges for geospatial map overlay analytics. In this study, we propose an efficient parallel algorithm for polygons overlay analysis, including active-slave spatial index decomposition for intersection, multi-strategy Hilbert ordering decomposition, and parallel spatial union algorithm. Multi-strategy based spatial data decomposition mechanism is implemented, including parallel spatial data index, the Hilbert space-filling curve sort, and decomposition. The results of the experiments showed

APA, Harvard, Vancouver, ISO, and other styles

31

K, Chitra., and Maheswari. D. "MAP PROBABILISTIC DENSITY BASED SUBSPACE CLUSTERING FOR DIMENSIONALITY REDUCTION OF BIG DATA ANALYTICS." COMPUSOFT: An International Journal of Advanced Computer Technology 09, no. 01 (2020): 3552–59. https://doi.org/10.5281/zenodo.14912097.

Full text

Abstract:

Density based subspace clustering algorithms focus on finding dense clusters of random shape and size. Most of the existing density based subspace clustering algorithms in the literature is less effective and accuracy while taking big dataset as input. In order to overcome such limitations, a MAP Probabilistic Density based Subspace Clustering (MAPPD-SC) Technique is introduced. The MAPPD-SC technique is designed for high dimensional data to improve the clustering accuracy and dimensionality reduction. Initially MAPPD-SC technique designs Map Probabilistic Density Based Subspace Clustering (MP

APA, Harvard, Vancouver, ISO, and other styles

32

Ciordas-Hertel, George-Petru, Jan Schneider, Stefaan Ternier, and Hendrik Drachsler. "Adopting Trust in Learning Analytics Infrastructure: A Structured Literature Review." JUCS - Journal of Universal Computer Science 25, no. (13) (2019): 1668–86. https://doi.org/10.3217/jucs-025-13-1668.

Full text

Abstract:

One key factor for the successful outcome of a Learning Analytics (LA) infrastructure is the ability to decide which software architecture concept is necessary. Big Data can be used to face the challenges LA holds. Additional challenges on privacy rights are introduced to the Europeans by the General Data Protection Regulation (GDPR). Beyond that, the challenge of how to gain the trust of the users remains. We found diverse architectural concepts in the domain of LA. Selecting an appropriate solution is not straightforward. Therefore, we conducted a structured literature review to assess the s

APA, Harvard, Vancouver, ISO, and other styles

33

Konzack, Maximilian, Pieter Gijsbers, Ferry Timmers, Emiel van Loon, Michel A. Westenberg, and Kevin Buchin. "Visual exploration of migration patterns in gull data." Information Visualization 18, no. 1 (2018): 138–52. http://dx.doi.org/10.1177/1473871617751245.

Full text

Abstract:

We present a visual analytics approach to explore and analyze movement data as collected by ecologists interested in understanding migration. Migration is an important and intriguing process in animal ecology, which may be better understood through the study of tracks for individuals in their environmental context. Our approach enables ecologists to explore the spatio-temporal characteristics of such tracks interactively. It identifies and aggregates stopovers depending on a scale at which the data is visualized. Statistics of stopover sites and links between them are shown on a zoomable geogr

APA, Harvard, Vancouver, ISO, and other styles

34

Guo, Liang, Ruchi Sharma, Lei Yin, Ruodan Lu, and Ke Rong. "Automated competitor analysis using big data analytics." Business Process Management Journal 23, no. 3 (2017): 735–62. http://dx.doi.org/10.1108/bpmj-05-2015-0065.

Full text

Abstract:

Purpose Competitor analysis is a key component in operations management. Most business decisions are rooted in the analysis of rival products inferred from market structure. Relative to more traditional competitor analysis methods, the purpose of this paper is to provide operations managers with an innovative tool to monitor a firm’s market position and competitors in real time at higher resolution and lower cost than more traditional competitor analysis methods. Design/methodology/approach The authors combine the techniques of Web Crawler, Natural Language Processing and Machine Learning algo

APA, Harvard, Vancouver, ISO, and other styles

35

Hussein Al-Hamami, Alaa, and Ali Adel Flayyih. "Enhancing Big Data Analysis by using Map-reduce Technique." Bulletin of Electrical Engineering and Informatics 7, no. 1 (2018): 113–16. http://dx.doi.org/10.11591/eei.v7i1.895.

Full text

Abstract:

Database is defined as a set of data that is organized and distributed in a manner that permits the user to access the data being stored in an easy and more convenient manner. However, in the era of big-data the traditional methods of data analytics may not be able to manage and process the large amount of data. In order to develop an efficient way of handling big-data, this work enhances the use of Map-Reduce technique to handle big-data distributed on the cloud. This approach was evaluated using Hadoop server and applied on Electroencephalogram (EEG) Big-data as a case study. The proposed ap

APA, Harvard, Vancouver, ISO, and other styles

36

Klim, Sahar Mahdie, and Sahar Mahdie Klim. "Big-data Management using Map Reduce on Cloud: Case study, EEG Images' Data." Al-Khwarizmi Engineering Journal 13, no. 1 (2017): 129–37. http://dx.doi.org/10.22153/kej.2017.11.004.

Full text

Abstract:

Database is characterized as an arrangement of data that is sorted out and disseminated in a way that allows the client to get to the data being put away in a simple and more helpful way. However, in the era of big-data the traditional methods of data analytics may not be able to manage and process the large amount of data. In order to develop an efficient way of handling big-data, this work studies the use of Map-Reduce technique to handle big-data distributed on the cloud. This approach was evaluated using Hadoop server and applied on EEG Big-data as a case study. The proposed approach showe

APA, Harvard, Vancouver, ISO, and other styles

37

Gupta, Shashi Kant, Sharda Tiwari, Azlin Abd Jamil, and Prabhdeep Singh. "Faster as Well as Early Measurements from Big Data Predictive Analytics Model." ECS Transactions 107, no. 1 (2022): 2927–46. http://dx.doi.org/10.1149/10701.2927ecst.

Full text

Abstract:

Data processing in large scale system and analyses is the key problems of today's distributed systems in real-time and close to real time. These systems should be able, while meeting these constraints, to process large-scale data inputs, to expand to terabytes or larger. Volume of processing the data over the systems of large scale becomes too large. These systems use parallelization of the data and similar techniques to increase performance. The standards are increasing, though: data analyses are expected almost in real time. Among all the data treatment models Map Reduce is mostly adopted. D

APA, Harvard, Vancouver, ISO, and other styles

38

Alzyadat, Wael Jumah, Aysh AlHroob, Ikhlas Hassan Almukahel, and Rodziah Atan. "FUZZY MAP APPROACH FOR ACCRUING VELOCITY OF BIG DATA." COMPUSOFT: An International Journal of Advanced Computer Technology 08, no. 04 (2019): 3112–16. https://doi.org/10.5281/zenodo.14823055.

Full text

Abstract:

Each characteristic of Big Data (volume, velocity, variety, and value) illustrate a unique challenge to Big Data Analytics. The performance of Big Data from velocity characteristic, in particular, appear challenging of time complexity for reduced processing in dissimilar frameworks ranging from batch-oriented, MapReduce-based to real-time and stream-processing frameworks such as Spark and Storm. We proposed an approach to use a Fuzzy logic controller combined with MapReduce frameworks to handle the vehicle analysis by comparing the driving data from the new outcome vehicle trajectory. The prop

APA, Harvard, Vancouver, ISO, and other styles

39

Alia, Mohd Azri, Abdul-Rahman Shuzlina, Hamzah Raseeda, Abd Aziz Zalilah, and Abu Bakar Nordin. "Visual analytics of 3D LiDAR point clouds in robotics operating systems." Bulletin of Electrical Engineering and Informatics 9, no. 2 (2020): 492–99. https://doi.org/10.11591/eei.v9i2.2061.

Full text

Abstract:

This paper presents visual analytics of 3D LiDAR point clouds in robotics operating system. In this study, experiment on simultaneous localization and mapping (SLAM) using point cloud data derived from the light detection and ranging (LiDAR) technology is conducted. We argue that one of the weaknesses of the SLAM algorithm is in the localization process of the landmarks. Existing algorithms such as grid mapping and monte carlo have limitations in dealing with 3D environment data that have led to less accurate estimation. Therefore, this research proposes the SLAM algorithm based on real-time a

APA, Harvard, Vancouver, ISO, and other styles

40

kumar, P. Saravana, M. Athi gopal, and S. Vetr ivel. "Extract Transform and Load Strategy for Unstructured Data into Data Warehouse Using Map Reduce Paradigm and Big Data Analytics." International Journal of Innovative Research in Computer and Communication Engineering 02, no. 12 (2014): 7456–62. http://dx.doi.org/10.15680/ijircce.2014.0212030.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Kyi, Lai Lai Khine, and Thi Soe Nyunt Thi. "Predictive geospatial analytics using principal component regression." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (2020): 2651–58. https://doi.org/10.11591/ijece.v10i3.pp2651-2658.

Full text

Abstract:

Nowadays, exponential growth in geospatial or spatial data all over the globe, geospatial data analytics is absolutely deserved to pay attention in manipulating voluminous amount of geodata in various forms increasing with high velocity. In addition, dimensionality reduction has been playing a key role in high-dimensional big data sets including spatial data sets which are continuously growing not only in observations but also in features or dimensions. In this paper, predictive analytics on geospatial big data using Principal Component Regression (PCR), traditional Multiple Linear Regression

APA, Harvard, Vancouver, ISO, and other styles

42

Gusti, Triningtyas Elisabeth Putri, Theresia Gunawan, and Agus Gunawan. "RANCANGAN HUMAN RESOURCES ANALYTICS UNTUK PELATIHAN KARYAWAN PEMASARAN PENJUALAN DI RESTORAN X." Jurnal Administrasi Bisnis 18, no. 2 (2022): 167–88. http://dx.doi.org/10.26593/jab.v18i2.6175.167-188.

Full text

Abstract:

The increasing number of restaurants leads to competition in service, the restaurant will provide perfect service to keep consumers visiting again. The quality of reliable human resources in service, especially in the marketing and sales divisions, is the best way said restaurant owners according to restaurant representatives. Training and development will create quality human resources that adapt to service developments. These services are business-to-business and business-to-consumer which have different consumer characteristics. The research purpose is to examine human resource analytics in

APA, Harvard, Vancouver, ISO, and other styles

43

Mrs., Madhavi R. K., Prathibha.T Mrs., and Shavi Mrs.Pushpa. "Optimizing Big Data Solutions with Hadoop." IJAPR Journal UGC Indexed 6, no. 2 Special Issue 2019 (2019): 38–43. https://doi.org/10.5281/zenodo.14887896.

Full text

Abstract:

Big Data’ describes techniques and technologies to store, distribute, manage and analyze large-sized datasets with high-velocity. Big data can be structured, unstructured or semi-structured, resulting in incapability of conventional data management methods. Data is generated from various different sources and can arrive in the system at various rates. In order to process these large amounts of data in an inexpensive and efficient way, parallelism is used.. Hadoop is the core platform for structuring Big Data, and solves the problem of making it useful for analytics purposes. Hadoop is an

APA, Harvard, Vancouver, ISO, and other styles

44

Zhu, Hong, and Ian Bayley. "Discovering and Investigating Cyberpatterns: The Road Map to Link Data Analytics with Reusable Knowledge." IEEE Systems, Man, and Cybernetics Magazine 4, no. 3 (2018): 14–22. http://dx.doi.org/10.1109/msmc.2018.2821200.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Jain, Arushi, and Vishal Bhatnagar. "Hadoop Map Only Job for Enciphering Patient-Generated Health Data." International Journal of Information Retrieval Research 7, no. 4 (2017): 72–86. http://dx.doi.org/10.4018/ijirr.2017100105.

Full text

Abstract:

Today, Big Data is being leveraged in many industries from criminal justice to health care to real estate with powerful outcomes. Organizations are using Big Data to predict the future in turn making them smarter and efficient. All the health care data such as discharge and transfer patient data maintained in Computer based Patient Records (CPR), Personal Health Information (PHI), and Electronic Health Records (EHR). The use of Big Data analytics is becoming increasingly popular at health care centres, in clinical research, and consumer based medical product development. The biggest challenge

APA, Harvard, Vancouver, ISO, and other styles

46

Govardhan, Kuntala. "Analytics based on Govt. Land Information System (GLIS)." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47622.

Full text

Abstract:

Abstract—The Geoland Analyzer is an advanced geospatial data analysis platform designed to streamline land data visualization, analysis, and insights generation. This web-based application empowers users to upload geospatial datasets, including files like GeoJSON, CSV, or shapefiles, and visualize them interactively on dynamic maps. The platform provides comprehensive insights into land area distribution, vegetation coverage, population density, and environmental patterns. By integrating geospatial technologies with machine learning algorithms, Geoland Analyzer helps in analyzing land data for

APA, Harvard, Vancouver, ISO, and other styles

47

Vinod Kumar, Boddupally, K. Pranaya Vardhan, Kurceti Subba Rao, and Thipparthy Navya Sree. "IDENTIFICATION OF UNSATURATED ATTACKS IN VIRTUALIZED INFRASTRUCTURES WITH BIG DATA ANALYTICS IN CLOUD COMPUTING." Journal of Nonlinear Analysis and Optimization 14, no. 02 (2023): 286–92. http://dx.doi.org/10.36893/jnao.2023.v14i2.286-292.

Full text

Abstract:

Security systems to protect virtualized cloud architecture typically include two types of malware detection and security analysis. Detecting malware typically involves two steps, monitoring the hotspots at various points in the virtualized infrastructure, and then using a regularly updated attack signature database to detect the presence of malware. 'Attack. It allows real-time detection of attacks, the use of special signature databases that are vulnerable to zero- day attacks that do not have attack signatures, and therefore traditional infrastructure. cannot detect complex attacks on virtua

APA, Harvard, Vancouver, ISO, and other styles

48

Bourgeois, Jacky, and Gerd Kortuem. "Towards Responsible Design with Internet of Things Data." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (2019): 3421–30. http://dx.doi.org/10.1017/dsi.2019.349.

Full text

Abstract:

AbstractRecent advances in sensing and networking technologies, namely the Internet of Things (IoT), have become key enablers of data-intensive design processes. However, the recent introduction of the General Data Protection Regulation (GDPR) in Europe has raised concerns that the GDPR might hamper data- intensive design processes. In this paper, we map the challenges of enabling ethical and compliant design of product-service systems with personal IoT data. Specifically, we present a 4-year project led by EON, an international energy provider, to design innovative home energy systems that le

APA, Harvard, Vancouver, ISO, and other styles

49

Mohd, Said Syukri Morsid, Azira Jamaluddin Syeril, Azmina Hood Nur, Shaadan Norshahida, Bee Wah Yap, and Annamalai Muthukkaruppan. "Haze alarm visual map (HazeViz): an intelligent haze forecaster." Bulletin of Electrical Engineering and Informatics 8, no. 1 (2019): 305–12. https://doi.org/10.11591/eei.v8i1.1447.

Full text

Abstract:

The haze problem has intensified in recent years. The particulate matter of less than 10 microns in size, PM10 is the dominant air pollutant during haze. In this paper, we present the development of HazeViz, a Haze Alarm Visual Map forecaster, which is based on PM10. The intelligent web application allows users to visualize the pattern of PM10 in a region, forecasts PM10 value and alarms bad haze condition. HazeViz was developed using HTML, Java Script, PHP, MySQL, R Programming and Fusionex Giant. The SARIMA statistical forecasting models that underlie the application were developed using R.

APA, Harvard, Vancouver, ISO, and other styles

50

Shafeeq, Ur Rahaman. "Demystifying Data Integration: Building Unified Analytics Pipelines for Seamless Decision-Making." International Journal on Science and Technology 14, no. 1 (2023): 1–10. https://doi.org/10.5281/zenodo.14352971.

Full text

Abstract:

The modern enterprise requires an integrated analytics pipeline to facilitate decision-making without barriers, given the ever-increasing complexity and volume of data. Advanced techniques regarding the integration of structured, semi-structured, and unstructured data sources in extended and efficient analytics pipelines are discussed in this paper. Subsequently, the contribution of integrated data to real-time insight development, operational efficiency, and data-driven decision-making across all organizational functions is discussed. The study has explored in detail the technologies and meth

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!