Results 101 to 110 of about 905 (211)
, 2021 The utility of an itemset is the product of the profit and the frequency of the itemset in the database. If the utility of the itemset is larger than the given threshold, the itemset is defined as the high utility pattern.
Wang, Chun-Yu
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Maintenance algorithm for high average-utility itemsets with transaction deletion
, 2018 High-utility itemset mining (HUIM) is an extension of traditional association-rule mining that can find profitable itemsets for decision-making. It faces, however, a limitation since the utility of an itemset increases along with the size of it.
Djenouri, Youcef +9 more
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Incremental High Fuzzy Utility Itemset Mining
, 2022 In the field of data mining, frequent-pattern mining is used for handling binary databases. Utility mining addresses this limitation by considering item utilities and quantities when discovering high utility itemsets. In addition, the fuzzy-set theory is
Hung, Wei-Teng
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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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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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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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, 2017 Data Mining is an activity that extracts some new useful information contained in large databases. Traditional data mining methodologies focused largely on detecting the statistical correlations between the items that are more frequent in the transaction
Ganesan, M, Shankar, S
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A Fast Algorithm for Mining Utility-Frequent
, 2008 . Utility-based data mining is a new research area interested in all types of utility factors in data mining processes and targeted at incorporating utility considerations in both predictive and descriptive data mining tasks.
Igor Kononenko +2 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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