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A review on big data based parallel and distributed approaches of pattern mining
Journal of King Saud University: Computer and Information Sciences, 2022 Pattern mining is a fundamental technique of data mining to discover interesting correlations in the data set. There are several variations of pattern mining, such as frequent itemset mining, sequence mining, and high utility itemset mining. High utility
Sunil Kumar, Krishna Kumar Mohbey
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An Algorithm for Mining High Utility Sequential Patterns with Time Interval
Cybernetics and Information Technologies, 2019 Mining High Utility Sequential Patterns (HUSP) is an emerging topic in data mining which attracts many researchers. The HUSP mining algorithms can extract sequential patterns having high utility (importance) in a quantitative sequence database.
Duong Tran Huy +4 more
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Mining actionable combined high utility incremental and associated sequential patterns.
PLoS ONE, 2023 High utility sequential pattern (HUSP) mining aims to mine actionable patterns with high utilities, widely applied in real-world learning scenarios such as market basket analysis, scenic route planning and click-stream analysis.
Min Shi +3 more
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AN EFFICIENT HIDING METHOD FOR PRIVACY PRESERVING UTILITY MINING [PDF]
International Journal of Intelligent Computing and Information Sciences, 2023 Due to the rapid evolution of data saved in electronic form, data mining technologies have become critical and indispensable in looking for nontrivial, implicit, hidden, and possibly beneficial information in enormous volumes of data.
Mohamed Ali +3 more
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Dramatically Reducing Search for High Utility Sequential Patterns by Maintaining Candidate Lists
Information, 2020 A ubiquitous challenge throughout all areas of data mining, particularly in the mining of frequent patterns in large databases, is centered on the necessity to reduce the time and space required to perform the search.
Scott Buffett
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Fast Single Pbase Algoritbm for Utility Mining in Big Data
Dianxin kexue, 2015 Most of the latest works on utility mining generates a huge number of candidates in dealing with big data,which suffers from the scalability issue.Some work does not generate candidates,but suffers from the efficiency issue due to lack of strong pruning ...
Junqiang Liu +3 more
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Mining High-Utility Patterns in Uncertain Tensors
Procedia Computer Science, 2018 Abstract Transactional datasets are 0/1 matrices, which generically stand for objects having Boolean properties. If every cell of the matrix is additionally associated with a real number called utility, a high-utility itemset relates to a all-ones sub-matrix with utilities that sum to a high-enough value.
Aurélien Coussat +2 more
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CRoM and HuspExt Improving efficiency of high utility sequential pattern extraction
, 2016 This paper presents efficient data structures and a pruning technique in order to improve the efficiency of high utility sequential pattern mining. CRoM (Cumulated Rest of Match) based upper bound, which is a tight upper bound on the utility of the ...
Karagöz, Pınar, Kirmemis Alkan, Öznur
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Efficient Approach for Damped Window-Based High Utility Pattern Mining With List Structure
IEEE Access, 2020 Traditional pattern mining is designed to handle binary database that assume all items in the database have same importance, there is a limitation to recognize accurate information from real-world databases using traditional method. To solve this problem,
Hyoju Nam +5 more
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Memory-optimized distributed utility mining for big data
Journal of King Saud University: Computer and Information Sciences, 2022 In recent days, social media, online services, smartphones, and the Internet of Things (IoT) produces large quantities of data every second. The generated data is structured, unstructured, or semi-structured and available in various formats.
Sunil kumar, Krishna Kumar Mohbey
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