Results 91 to 100 of about 15,313,957 (171)
Mining High Utility Itemsets Using Bio-Inspired Algorithms: A Diverse Optimal Value Framework
IEEE Access, 2018 Mining high utility itemsets (HUI) is an interesting research problem in the field of data mining and knowledge discovery. Recently, bio-inspired computing has attracted considerable attention, leading to the development of new algorithms for mining HUIs.
Wei Song, Chaomin Huang
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On minimal and maximal high utility itemsets mining using propositional satisfiability
, 2021 International audienceComputing high utility motifs is a fundamental data mining method for discovering useful itemsets yielding high utility values. Minimal and maximal high utility itemsets are two examples of compact representations used to reduce the
Hidouri, Amel +7 more
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An Incremental Mining Algorithm for High Average-Utility Itemsets
, 2012 [[abstract]]The average utility measure reveals a better utility effect of combining several items than the original utility measure. In this paper, we propose a two-phase average-utility mining algorithm that can incrementally maintain the high average ...
Hong, Tzung-Pei; Lee, Cho-Han; Wang, Shyue-Liang
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MHUI-max: An efficient algorithm for discovering high-utility itemsets from data streams
, 2011 Online mining of utility itemsets from data streams is one of the most interesting research issues in stream data mining. Although a number of relevant approaches have been proposed in recent years, they have the drawback of producing a large number of ...
Hua-Fu Li
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A Hybrid Method for High-Utility Itemsets Mining in Large High-Dimensional Data
Existing algorithms for high-utility itemsets mining are column enumeration based, adopting an Apriorilike candidate set generation-and-test approach, and thus are inadequate in datasets with high dimensions or long patterns.
Xianhui Zeng +3 more
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FHNM: High Utility Itemsets Mining Algorithm From Transaction Database with Negative Utility Value
, 2017 Algorithms for mining high utility itemset normally aims at discovering itemsets that contain more items [1,2,3]. However, the itemsets that contain more items are rare in the database and have little meaning to users [5]. Therefore, the algorithm FHM+[5]
Huỳnh Triệu Vỹ*, Lê Quốc Hải, Phạm Khánh Bảo
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High utility itemsets mining identifies itemsets whose utility satisfies a given threshold. It allows users to quantify the usefulness or preferences of items using different values. Thus, it reflects the impact of different items.
YING LIU +4 more
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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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Enhancing the Performance of Mining High Utility Itemsets Based On Pattern Algorithm [PDF]
, 2020 : Data Mining is the process of analyzing data from different perspectives and summarizing it into useful information. An association in data mining indicates a logical dependency between various attributes of an entity.
Ranjith M Kumar +2 more
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, 2019 "January 30, 2019."; Presentation before the Kansas Legislature, Senate Utilities Committee, by David Nickel, Consumer Counsel, Citizens' Utility Ratepayer Board."CURB appreciates the opportunity to respond to the Rate Study furnished by the Staff of ...
Nickel, David W.
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