STUDY OF HIGH UTILITY PATTERN MINING ALGORITHMS AND COMPARISION OF D2HUP AND MAHUSP ALGORITHMS
, 2018 <p>Discovering interesting patterns and useful knowledge from massive data has become an important data mining task. These days, we come across a lot of things that have profit technically referred as external utility, value greater than the ...
SHILPA GHODE
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A New Method for Mining High Average Utility Itemsets
, 2014 Part 2: AlgorithmsInternational audienceData mining is one of exciting fields in recent years. Its purpose is to discover useful information and knowledge from large databases for business decisions and other areas.
Vo, Bay +8 more
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A two-phase approach to mine short-period high-utility itemsets in transactional databases
, 2017 The discovery of high-utility itemsets (HUIs) in transactional databases has attracted much interest from researchers in recent years since it can uncover hidden information that is useful for decision making, and it is widely used in many domains ...
Philippe Fournier-Viger +9 more
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Mining actionable combined high utility incremental and associated sequential patterns. [PDF]
PLoS One, 2023 Shi M, Gong Y, Xu T, Zhao L.
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High Utility Itemset Mining Using Transaction Utility of Itemsets
KIPS Transactions on Software and Data Engineering, 2015 Serin Lee, Jong Soo Park
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Rule-ranking method based on item utility in adaptive rule model. [PDF]
PeerJ Comput Sci, 2022 Hikmawati E, Maulidevi NU, Surendro K.
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Geng L.: A Unified framework for Utility based Measures for Mining Itemsets
, 2006 A pattern is of utility to a person if its use by that person contributes to reaching a goal. Utility based measures use the utilities of the patterns to reflect the user’s goals.
Data Mining, Hong Yao
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Uncertainty-Aware Contamination Detection in IoT Water Networks via Interval Type-2 Fuzzy Rare Itemset Mining. [PDF]
Sensors (Basel)Mariadhason JS +3 more
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Best-first search-based approach for mining top-k closed frequent itemsets from uncertain databases. [PDF]
PLoS OneLe N, Vo H, Nguyen T.
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Efficient and interpretable maximal frequent fuzzy pattern mining with multi phase pruning and ternary search. [PDF]
Sci RepAl-Wagih K, Abdullah MA, Senan EM.
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