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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| Format: | Conference or Workshop Item |
| Language: | English English |
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IEEE
2015
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| Online Access: | 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 |
| _version_ | 1796991039340281856 |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:00:24Z |
| format | Conference or Workshop Item |
| id | UMPir11814 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:00:24Z |
| publishDate | 2015 |
| publisher | IEEE |
| record_format | dspace |
| spelling | UMPir118142018-04-25T07:03:41Z 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 |
| 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 |
| title | 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_short | Agent-based Big Data Analytics in Retailing: A Case Study |
| title_sort | agent based big data analytics in retailing a case study |
| topic | QA76 Computer software |
| url | 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 |
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