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Titlebook: High-Utility Pattern Mining; Theory, Algorithms a Philippe Fournier-Viger,Jerry Chun-Wei Lin,Vincent Book 2019 Springer Nature Switzerland

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書目名稱High-Utility Pattern Mining
副標(biāo)題Theory, Algorithms a
編輯Philippe Fournier-Viger,Jerry Chun-Wei Lin,Vincent
視頻videohttp://file.papertrans.cn/427/426808/426808.mp4
概述Presents an overview of the theory and core methods used in utility mining.Covers recent advances in high-utility mining.Includes stream, incremental, sequence, and big data mining.Discusses important
叢書名稱Studies in Big Data
圖書封面Titlebook: High-Utility Pattern Mining; Theory, Algorithms a Philippe Fournier-Viger,Jerry Chun-Wei Lin,Vincent Book 2019 Springer Nature Switzerland
描述.This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances, applications, open-source software, and research opportunities. It also discusses several types of discrete data, including customer transaction data and sequential data..The book consists of twelve chapters, seven of which are surveys presenting the main subfields of high-utility pattern mining, including itemset mining, sequential pattern mining, big data pattern mining, metaheuristic-based approaches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns...?.
出版日期Book 2019
關(guān)鍵詞High Utility Pattern Mining; Pattern Mining; Big Data; Data Mining; High Utility Mining
版次1
doihttps://doi.org/10.1007/978-3-030-04921-8
isbn_ebook978-3-030-04921-8Series ISSN 2197-6503 Series E-ISSN 2197-6511
issn_series 2197-6503
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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2197-6503 ches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns...?.978-3-030-04921-8Series ISSN 2197-6503 Series E-ISSN 2197-6511
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發(fā)表于 2025-3-22 09:14:07 | 只看該作者
Duy-Tai Dinh,Van-Nam Huynh,Bac Le,Philippe Fournier-Viger,Ut Huynh,Quang-Minh Nguyenwill be derived according to their historical progress and their increasing complexity as well. It will be seen that they all share common structural properties978-3-540-15241-5978-3-642-50094-7Series ISSN 0075-8442 Series E-ISSN 2196-9957
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A Survey of High Utility Sequential Pattern Mining,the downward-closure property used in pattern mining to reduce the search space. This chapter introduces the problem of high utility sequence mining, the state-of-art algorithms, applications, present related problems and research opportunities. A key contribution of the chapter is to also provide a
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Efficient Algorithms for High Utility Itemset Mining Without Candidate Generation,abase. By avoiding candidate generation, HUI-Miner can efficiently mine high utility itemsets. To further speed up the construction of utility-lists, HUI-Miner* introduces an improved structure called utility-list* and an horizontal method to construct utility-lists*. Experimental results show that
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Mining High-Utility Irregular Itemsets, . (.), for efficiently mining high-utility irregular itemsets. The new-modified utility list structure (.) is applied for maintaining occurrence information simultaneously with utility value of an itemset and also for fast calculation of total utility of the itemset. Moreover, a new pruning techniq
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