Agent-based Big Data Analytics in Retailing: A Case Study

The advent of social networks and the Internet of Things have created massive data sets with huge and complex structures. Thus, new technology for storage, analysis, and pattern visualization must be developed for further processing. Such data sets are appropriately termed as “Big Data.” Big data An...

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Main Authors:	Firas, D. Ahmed, Aws Naser, Jaber, Mazlina, Abdul Majid, Mohd Sharifuddin, Ahmad
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2015
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/11814/ http://umpir.ump.edu.my/id/eprint/11814/ http://umpir.ump.edu.my/id/eprint/11814/1/Agent-based%20Big%20Data%20Analytics%20in%20retailing-%20A%20case%20study.pdf http://umpir.ump.edu.my/id/eprint/11814/7/Agent-based%20Big%20Data%20Analytics%20in%20retailing-%20A%20case%20study-abstract.pdf

id	ump-11814
recordtype	eprints
spelling	ump-118142018-04-25T07:03:41Z http://umpir.ump.edu.my/id/eprint/11814/ Agent-based Big Data Analytics in Retailing: A Case Study Firas, D. Ahmed Aws Naser, Jaber Mazlina, Abdul Majid Mohd Sharifuddin, Ahmad QA76 Computer software The advent of social networks and the Internet of Things have created massive data sets with huge and complex structures. Thus, new technology for storage, analysis, and pattern visualization must be developed for further processing. Such data sets are appropriately termed as “Big Data.” Big data Analytics is concerned with exposing and visualizing hidden patterns, as well as with analyzing the knowledge that is produced to facilitate decision making. In retailing, analyzing the massive data generated from business transactions is crucial to enhancing the insights of vendors into consumer behaviors and purchases, thus providing them an advantage in decision making. The capability to extract value from big data is a relevant issue, but the process is difficult as the volume and velocity of data increase. As a result, traditional business intelligence methods become inadequate. Consequently, we propose an agent-based paradigm in this study to facilitate the use of Big Data Analytics in retailing. The paradigm exploits agent characteristics such as autonomy, pro-activity, and intelligence in performing data analytics processes. We also review the background of the situation and discuss the characteristics, properties, applications, and challenges of integrating Big Data with multi-agent systems in retailing. IEEE 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11814/1/Agent-based%20Big%20Data%20Analytics%20in%20retailing-%20A%20case%20study.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/11814/7/Agent-based%20Big%20Data%20Analytics%20in%20retailing-%20A%20case%20study-abstract.pdf Firas, D. Ahmed and Aws Naser, Jaber and Mazlina, Abdul Majid and Mohd Sharifuddin, Ahmad (2015) Agent-based Big Data Analytics in Retailing: A Case Study. In: International Conference on Software Engineering and Computer Systems (ICSECS), 19-21 August 2015 , Kuantan, Pahang, Malaysia. pp. 67-72.. ISBN 978-1-4673-6722-6 http://dx.doi.org/10.1109/ICSECS.2015.7333085
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Firas, D. Ahmed Aws Naser, Jaber Mazlina, Abdul Majid Mohd Sharifuddin, Ahmad Agent-based Big Data Analytics in Retailing: A Case Study
description	The advent of social networks and the Internet of Things have created massive data sets with huge and complex structures. Thus, new technology for storage, analysis, and pattern visualization must be developed for further processing. Such data sets are appropriately termed as “Big Data.” Big data Analytics is concerned with exposing and visualizing hidden patterns, as well as with analyzing the knowledge that is produced to facilitate decision making. In retailing, analyzing the massive data generated from business transactions is crucial to enhancing the insights of vendors into consumer behaviors and purchases, thus providing them an advantage in decision making. The capability to extract value from big data is a relevant issue, but the process is difficult as the volume and velocity of data increase. As a result, traditional business intelligence methods become inadequate. Consequently, we propose an agent-based paradigm in this study to facilitate the use of Big Data Analytics in retailing. The paradigm exploits agent characteristics such as autonomy, pro-activity, and intelligence in performing data analytics processes. We also review the background of the situation and discuss the characteristics, properties, applications, and challenges of integrating Big Data with multi-agent systems in retailing.
format	Conference or Workshop Item
author	Firas, D. Ahmed Aws Naser, Jaber Mazlina, Abdul Majid Mohd Sharifuddin, Ahmad
author_facet	Firas, D. Ahmed Aws Naser, Jaber Mazlina, Abdul Majid Mohd Sharifuddin, Ahmad
author_sort	Firas, D. Ahmed
title	Agent-based Big Data Analytics in Retailing: A Case Study
title_short	Agent-based Big Data Analytics in Retailing: A Case Study
title_full	Agent-based Big Data Analytics in Retailing: A Case Study
title_fullStr	Agent-based Big Data Analytics in Retailing: A Case Study
title_full_unstemmed	Agent-based Big Data Analytics in Retailing: A Case Study
title_sort	agent-based big data analytics in retailing: a case study
publisher	IEEE
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/11814/ http://umpir.ump.edu.my/id/eprint/11814/ http://umpir.ump.edu.my/id/eprint/11814/1/Agent-based%20Big%20Data%20Analytics%20in%20retailing-%20A%20case%20study.pdf http://umpir.ump.edu.my/id/eprint/11814/7/Agent-based%20Big%20Data%20Analytics%20in%20retailing-%20A%20case%20study-abstract.pdf
first_indexed	2023-09-18T22:12:48Z
last_indexed	2023-09-18T22:12:48Z
_version_	1777415139503374336

Agent-based Big Data Analytics in Retailing: A Case Study

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