Results 11 to 20 of about 15,313,957 (171)
Mining High Utility Itemsets with Regular Occurrence [PDF]
Journal of ICT Research and Applications, 2016 High utility itemset mining (HUIM) plays an important role in the data mining community and in a wide range of applications. For example, in retail business it is used for finding sets of sold products that give high profit, low cost, etc. These itemsets
Komate Amphawan +3 more
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Using Tree Structure to Mine High Temporal Fuzzy Utility Itemsets [PDF]
IEEE Access, 2020 Data mining is a critical technology for extracting valuable knowledge from databases. It has been used in many fields, like retail, finance, biology, etc.
Tzung-Pei Hong +5 more
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A Reinduction-Based Approach for Efficient High Utility Itemset Mining from Incremental Datasets
Data Science and Engineering, 2023 High utility itemset mining is a crucial research area that focuses on identifying combinations of itemsets from databases that possess a utility value higher than a user-specified threshold.
Pushp Sra, Satish Chand
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A single‐phase algorithm for mining high utility itemsets using compressed tree structures
ETRI Journal, 2021 Mining high utility itemsets (HUIs) from transaction databases considers such factors as the unit profit and quantity of purchased items. Two‐phase tree‐based algorithms transform a database into compressed tree structures and generate candidate patterns
Anup Bhat B, Harish SV, Geetha M
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EAHUIM: Enhanced Absolute High Utility Itemset Miner for Big Data
International Journal of Information Management Data Insights, 2022 High utility itemset mining (HUIM) is a data mining technique that identifies the itemsets with utility levels exceeding a pre-determined threshold. The factor utility is described as the combination of magnitude and element of significance for an item ...
Vandna Dahiya, Sandeep Dalal
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Closed High Utility Pattern Mining over Data Stream Based on Projection in the Window
Taiyuan Ligong Daxue xuebao, 2022 A fast and effective algorithm EFIM_Closed_DS was proposed to mine closed and high utility itemsets in the data stream environment. The algorithm is based on the projection technology in the window, and the database projection technology and transaction ...
Muhang LI +4 more
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Top ‘N’ Variant Random Forest Model for High Utility Itemsets Recommendation [PDF]
EAI Endorsed Transactions on Energy Web, 2021 High-utility based itemset mining is the advancement of recurrent pattern mining that discovers occurrence of frequent transactions from a huge database.
Pazhaniraja N +3 more
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Discovering High Utility Itemsets using Hybrid Approach [PDF]
, 2015 Mining of high utility itemsets especially from the big transactional databases is time consuming task. For mining the high utility itemsets from large transactional datasets multiple methods are available and have some consequential limitations. In case
, Amol J. Gosavi, Dr. K. V. Metre
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LUIM: New Low-Utility Itemset Mining Framework
IEEE Access, 2019 High-utility itemset mining (HUIM), which is the detection of high-utility itemsets (HUIs) in a transactional database, provides the decision maker with greater flexibility to exploit item utilities, such as quantity and profits, to extract remarkable ...
Naji Alhusaini +5 more
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A General Method for mining high-Utility itemsets with correlated measures
Journal of Information and Telecommunication, 2021 Discovering high-utility itemsets from a transaction database is one of the important tasks in High-Utility Itemset Mining (HUIM). The discovered high-utility itemsets (HUIs) must meet a user-defined given minimum utility threshold.
Nguyen Manh Hung, Tung NT, Bay Vo
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