| 书目名称 | Periodic Pattern Mining | | 副标题 | Theory, Algorithms, | | 编辑 | R. Uday Kiran,Philippe Fournier-Viger,Anirban Mond | | 视频video | | | 概述 | Summarizes the theory, core methods and algorithms in periodic pattern mining.Discusses advances in periodic pattern mining.Presents open source software and real-world databases | | 图书封面 |  | | 描述 | This book provides an introduction to the field of periodic pattern mining, reviews state-of-the-art techniques, discusses recent advances, and reviews open-source software. Periodic pattern mining is a popular and emerging research area in the field of data mining. It involves discovering all regularly occurring patterns in temporal databases. One of the major applications of periodic pattern mining is the analysis of customer transaction databases to discover sets of items that have been regularly purchased by customers. Discovering such patterns has several implications for understanding the behavior of customers. Since the first work on periodic pattern mining, numerous studies have been published and great advances have been made in this field. The book consists of three main parts: introduction, algorithms, and applications. .The first chapter is an introduction to pattern mining and periodic pattern mining. The concepts of periodicity, periodic support, search space exploration techniques, and pruning strategies are discussed. The main types of algorithms are also presented such as periodic-frequent pattern growth, partial periodic pattern-growth, and periodic high-utility i | | 出版日期 | Book 2021 | | 关键词 | Data Mining; Big Data Analytics; Pattern Mining; Frequent Patterns; Periodic Patterns; Time series; Transa | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-16-3964-7 | | isbn_softcover | 978-981-16-3966-1 | | isbn_ebook | 978-981-16-3964-7 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 16:38:26
