Results 31 to 40 of about 1,895,501 (280)
Dramatically Reducing Search for High Utility Sequential Patterns by Maintaining Candidate Lists
Information, 2020 A ubiquitous challenge throughout all areas of data mining, particularly in the mining of frequent patterns in large databases, is centered on the necessity to reduce the time and space required to perform the search.
Scott Buffett
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IEEE Access, 2022 The field of data mining is progressing rapidly presenting researchers with many opportunities for research. Sequential pattern mining is a popular and long established technique in data mining which extracts data in the form of sequential patterns ...
Ritika, Sunil Kumar Gupta
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Mining significant high utility gene regulation sequential patterns
, 2023 Background Mining frequent gene regulation sequential patterns in time course microarray datasets is an important mining task in bioinformatics. Although finding such patterns are of paramount important for studying a disease, most existing work do not ...
Aijun An (16943474) +2 more
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On efficiently mining high utility sequential patterns
, 2016 High utility sequential pattern mining is an emerging topic in pattern mining, which refers to identify sequences with high utilities (e.g., profits) but probably with low frequencies. To identify high utility sequential patterns, due to lack of downward
Wang, Jun-Zhe;Huang, Jiun-Long;Chen, Yi-Cheng
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Analytics of high average-utility patterns in the industrial internet of things [PDF]
, 2021 Recently, revealing more valuable information except for quantity value for a database is an essential research field. High utility itemset mining (HAUIM) was suggested to reveal useful patterns by average-utility measure for pattern analytics and ...
Yun, Unil +4 more
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An Efficient Chain Structure to Mine High-Utility Sequential Patterns
, 2019 High-utility sequential pattern mining (HUSPM) is an emerging topic in data mining, which considers both utility and sequence factors to derive the set of high-utility sequential patterns from the quantitative databases. Several works have been presented
Djenouri, Youcef +9 more
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SOHUPDS+: An Efficient One-phase Algorithm for Mining High Utility Patterns over a Data Stream
ACM Transactions on Knowledge Discovery from DataExisting algorithms for mining high utility patterns over a data stream are two-phase algorithms that are not scalable due to the large number of candidates generation in the first phase, particularly when the minimum utility threshold is low.
Bijay Prasad Jaysawal, Jen-Wei Huang
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Efficient Algorithm for High Utility Pattern Mining Based on Top-k [PDF]
Jisuanji gongcheng, 2019 Getting the high utility pattern through user-specified threshold is inefficient,and the result of mining may not satisfy user’s needs.Therefore,an efficient Top-k pattern mining algorithm based on EFIM algorithm is proposed.The number of high utility ...
ZHAO Linliu,LV Xin,TAO Feifei
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Mining of high average-utility patterns with item-level thresholds
, 2019 In this paper, we introduce a level-wise algorithm named High Average-Utility Itemset Mining with Multiple Minimum Average-Utility threshold (HAUIM-MMAU), which relies on a novel transaction-maximum utility downward closure (TMUDC) property and a concept
Zhang, Ji +4 more
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Interpretable Classifier Models for Decision Support Using High Utility Gain Patterns
IEEE AccessEnsemble models such as gradient boosting and random forests are proven to offer the best predictive performance on a wide variety of supervised learning problems.
Srikumar Krishnamoorthy
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