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Mining High-Utility Irregular Itemsets
2019High-utility itemset mining (HUIM) currently plays an important role in a wide range of applications and data mining community. Several algorithms, methods and data structures have been proposed to improve efficiency of mining for such itemsets. Besides, HUIM is extended in several aspects including the regarding of “regularity or irregularity of ...
Supachai Laoviboon, Komate Amphawan
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Topological Frequency Utility Mining Model
2012Most of the traditional association rules mining only considers frequency of itemsets (web pages set denoted as wps-set in a given web site), which may bring less amount of profit. The main focus of Utility mining is to consider only itemsets (wps-set) with high utilities, but number of rich enough customers is restricted.
R. B. Geeta +2 more
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Mining Minimal High-Utility Itemsets
2016Mining high-utility itemsets HUIs is a key data mining task. It consists of discovering groups of items that yield a high profit in transaction databases. A major drawback of traditional high-utility itemset mining algorithms is that they can return a large number of HUIs. Analyzing a large result set can be very time-consuming for users.
Philippe Fournier-Viger +4 more
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UGMINE: utility-based graph mining
Applied Intelligence, 2022Md. Tanvir Alam +4 more
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Strategic Utilization of Data Mining
2005In the past decade, a new and exciting technology has unfolded on the shores of the information systems area. Based on a combination of statistical and artificial intelligence techniques, data mining has emerged from relational databases and Online Analytical Processing as a powerful tool for organizational decision support (Shim et al., 2002).
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Stable High Utility Itemset Mining
The 23rd International Conference on Information Integration and Web Intelligence, 2021Acquah Hackman +3 more
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