Results 101 to 110 of about 530 (210)
1 A Survey on Discovering High Utility Itemset Mining from Transactional Database
, 2016 Data Mining is the process of evaluating data from different outlooks and summarizing it into useful information. It can be defined as the process that extracts information contained in very large database.
Shekhar Patel +3 more
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, 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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High Utility Itemset Mining Using Transaction Utility of Itemsets
KIPS Transactions on Software and Data Engineering, 2015 Serin Lee, Jong Soo Park
openaire +2 more sources
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
core +1 more source
Rule-ranking method based on item utility in adaptive rule model. [PDF]
PeerJ Comput Sci, 2022 Hikmawati E, Maulidevi NU, Surendro K.
europepmc +1 more source
Mining actionable combined high utility incremental and associated sequential patterns. [PDF]
PLoS One, 2023 Shi M, Gong Y, Xu T, Zhao L.
europepmc +1 more source
, 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
core +1 more source
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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