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High-Utility Sequential Pattern Mining with Multiple Minimum Utility Thresholds
2017High-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
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A Novel Approach for Hiding High Utility Sequential Patterns
Proceedings of the Sixth International Symposium on Information and Communication Technology, 2015Privacy Preserving Data Mining (PPDM) has become an important research topic in recent years. Hiding high utility sequential patterns is very necessary in business, health and security applications, etc. The goal of hiding is to find the way to hide all high utility sequential patterns so that the adversaries cannot mine them from the sanitized ...
Tai Dinh, Minh Nguyen Quang, Bac Le
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High Utility Pattern Mining: A Comprehensive Survey
2023 6th International Conference on Contemporary Computing and Informatics (IC3I), 2023Chaitali Patil, Sunita Dhotre
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Mining High Utility Sequential Patterns Using Maximal Remaining Utility
2018Mining 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 0004, Keke Rong
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An Efficient Algorithm for High Utility Sequential Pattern Mining
2014High utility sequential pattern mining is to mine sequences with high utility (e.g. profits) but probably with low frequency. In some applications such as marketing analysis, high utility sequential patterns are usually more useful than sequential patterns with high frequency. In this paper, we devise two pruning strategies RSU and PDU, and propose HUS-
Jun-Zhe Wang +2 more
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Algorithms for High Utility Pattern Mining
Pattern mining is a research field that deals with extracting knowledge from data to better comprehend it and to support information and decision-making. The utility of a pattern can be characterized as an ordering of preferences over a pool of options and, consequently, is a subjective measure; the utility of a pattern can be actually assessed from ...Cauteruccio F., Terracina G.
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Mining closed high utility patterns with negative utility in dynamic databases
Applied Intelligence, 2022Meng Han +4 more
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A Survey of Utility-Oriented Pattern Mining
IEEE Transactions on Knowledge and Data Engineering, 2021Jerry Chun-Wei Lin +2 more
exaly
Efficient approach of sliding window-based high average-utility pattern mining with list structures
Knowledge-Based Systems, 2022Jerry Chun-Wei Lin, Unil Yun, Bay Vo
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High Utility Co-location Patterns with Instance Utility
2022Lizhen Wang, Yuan Fang, Lihua Zhou
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