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Mining High Utility Sequential Patterns Using Maximal Remaining Utility

2018
Mining high utility sequential pattern is an interesting problem in data mining. In this paper, we propose a new algorithm called high utility sequential pattern mining based on maximal remaining utility (HUSP-MRU). In HUSP-MRU, the maximal remaining utility (MRU) is defined as tighter upper bound of candidates.
Wei Song, Keke Rong
openaire   +1 more source

DMHUPS: Discovering Multiple High Utility Patterns Simultaneously

Knowledge and Information Systems, 2018
High utility pattern mining in transaction databases has emerged to overcome the limitation of frequent pattern mining where only frequency is taken as the measure of importance without considering the actual importance of items. Among existing state-of-the-art algorithms, some are efficient on sparse datasets and some are efficient on dense datasets ...
Bijay Prasad Jaysawal, Jen-Wei Huang
openaire   +1 more source

Mining high utility patterns in incremental databases

Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication, 2009
Frequent pattern mining techniques treat all items in the database equally by taking into consideration only the presence of an item within a transaction. However, the customer may purchase more than one of the same item, and the unit price may vary among items. High utility pattern mining approaches have been proposed to overcome this problem.
Chowdhury Farhan Ahmed   +3 more
openaire   +1 more source

High-Utility Sequential Pattern Mining with Multiple Minimum Utility Thresholds

2017
High-utility sequential pattern mining is an emerging topic in recent decades and most algorithms were designed to identify the complete set of high-utility sequential patterns under the single minimum utility threshold. In this paper, we first propose a novel framework called high-utility sequential pattern mining with multiple minimum utility ...
Jerry Chun-Wei Lin   +2 more
openaire   +1 more source

On efficiently mining high utility sequential patterns

Knowledge and Information Systems, 2016
High utility sequential pattern mining is an emerging topic in pattern mining, which refers to identify sequences with high utilities (e.g., profits) but probably with low frequencies. To identify high utility sequential patterns, due to lack of downward closure property in this problem, most existing algorithms first generate candidate sequences with ...
Jun-Zhe Wang   +2 more
openaire   +1 more source

High utility pattern mining algorithm over data streams using ext-list.

Applied intelligence (Boston), 2023
Meng Han   +4 more
semanticscholar   +1 more source

EHMIN: Efficient approach of list based high-utility pattern mining with negative unit profits

Expert systems with applications, 2022
Heonho Kim   +7 more
semanticscholar   +1 more source

High Utility Co-location Patterns

2022
Lizhen Wang, Yuan Fang, Lihua Zhou
openaire   +1 more source

High Utility Co-location Patterns with Instance Utility

2022
Lizhen Wang, Yuan Fang, Lihua Zhou
openaire   +1 more source

HUPM-MUO: high utility pattern mining under multiple utility objectives

International Journal of Computer Aided Engineering and Technology, 2021
A. Muralidhar, Pattabiraman Venkatasubbu
openaire   +1 more source

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