Improved Market Basket Analysis with Utility Mining

Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018

4 Pages Posted: 9 May 2018

See all articles by Nishant Srivastava

Nishant Srivastava

Jaypee Institute of Information Technology (JIIT) - Department of Computer Science

Stuti

Jaypee Institute of Information Technology (JIIT) - Department of Computer Science

Kanika Gupta

Jaypee Institute of Information Technology (JIIT) - Department of Computer Science

Niyati Baliyan

Jaypee Institute of Information Technology (JIIT) - Department of Computer Science

Date Written: April 28, 2018

Abstract

Data Mining is a tool for retrieving novel and useful information contained in huge data stores. Conventional approaches to data mining techniques have majorly targeted the discovery of correlations among items that occur often in transactional databases. This method referred to as frequent item set mining believes that recurring item sets must be more significant to the user.

Alternatively, in this paper, we attempt to simulate an algorithm for a recent development called Utility Mining, which studies the usefulness or utility of item sets, in addition to their frequency. This High Utility Item Set Mining facilitates the recognition of item sets having utility value greater than a lower limit specified by the seller. Though high confidence is attained, yet the limitation of our approach lies in low support. Consequentially, most useful frequent item sets might be ignored, leading to incorrect analysis of consumer behavior pattern. In the future, we intend to devise an ensemble algorithm which can tackle this issue.

Suggested Citation

Srivastava, Nishant and , Stuti and Gupta, Kanika and Baliyan, Niyati, Improved Market Basket Analysis with Utility Mining (April 28, 2018). Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018. Available at SSRN: https://ssrn.com/abstract=3170300 or http://dx.doi.org/10.2139/ssrn.3170300

Nishant Srivastava (Contact Author)

Jaypee Institute of Information Technology (JIIT) - Department of Computer Science ( email )

A-10
Sector-62
Noida, Uttar Pradesh 201307
India

Stuti

Jaypee Institute of Information Technology (JIIT) - Department of Computer Science

A-10
Sector-62
Noida, Uttar Pradesh 201307
India

Kanika Gupta

Jaypee Institute of Information Technology (JIIT) - Department of Computer Science

A-10
Sector-62
Noida, Uttar Pradesh 201307
India

Niyati Baliyan

Jaypee Institute of Information Technology (JIIT) - Department of Computer Science

A-10
Sector-62
Noida, Uttar Pradesh 201307
India

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