ENGLISH

High-Utility Pattern Mining: Theory, Algorithms and Applications

Book information

Publisher
Springer International Publishing
Year
2019
ISBN
978-3-030-04920-1, 978-3-030-04921-8
Language
english
Format
PDF
Filesize
12 MB (12903626 bytes)
Series
Studies in Big Data 51
Edition
1st ed.
Pages
VIII, 337\343
Time added
2019-04-19 19:00:00

Description

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. Front Matter ....Pages i-viii A Survey of High Utility Itemset Mining (Philippe Fournier-Viger, Jerry Chun-Wei Lin, Tin Truong-Chi, Roger Nkambou)....Pages 1-45 A Comparative Study of Top-K High Utility Itemset Mining Methods (Srikumar Krishnamoorthy)....Pages 47-74 A Survey of High Utility Pattern Mining Algorithms for Big Data (Morteza Zihayat, Mehdi Kargar, Jaroslaw Szlichta)....Pages 75-96 A Survey of High Utility Sequential Pattern Mining (Tin Truong-Chi, Philippe Fournier-Viger)....Pages 97-129 Efficient Algorithms for High Utility Itemset Mining Without Candidate Generation (Jun-Feng Qu, Mengchi Liu, Philippe Fournier-Viger)....Pages 131-160 High Utility Association Rule Mining (Loan T. T. Nguyen, Thang Mai, Bay Vo)....Pages 161-174 Mining High-Utility Irregular Itemsets (Supachai Laoviboon, Komate Amphawan)....Pages 175-205 A Survey of Privacy Preserving Utility Mining (Duy-Tai Dinh, Van-Nam Huynh, Bac Le, Philippe Fournier-Viger, Ut Huynh, Quang-Minh Nguyen)....Pages 207-232 Extracting Potentially High Profit Product Feature Groups by Using High Utility Pattern Mining and Aspect Based Sentiment Analysis (Seyfullah Demir, Oznur Alkan, Firat Cekinel, Pinar Karagoz)....Pages 233-260 Metaheuristics for Frequent and High-Utility Itemset Mining (Youcef Djenouri, Philippe Fournier-Viger, Asma Belhadi, Jerry Chun-Wei Lin)....Pages 261-278 Mining Compact High Utility Itemsets Without Candidate Generation (Cheng-Wei Wu, Philippe Fournier-Viger, Jia-Yuan Gu, Vincent S. Tseng)....Pages 279-302 Visualization and Visual Analytic Techniques for Patterns (Wolfgang Jentner, Daniel A. Keim)....Pages 303-337

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