| 书目名称 | Supervised Descriptive Pattern Mining | | 编辑 | Sebastián Ventura,José María Luna | | 视频video | | | 概述 | Covers Exceptional Preference Mining.Introduces Subjective Interestingness Measures.Presents class association rules and exceptional models within this field | | 图书封面 |  | | 描述 | .This book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those based on heuristics. It provides some formal definitions and a general idea about patterns, pattern mining, the usefulness of patterns in the knowledge discovery process, as well as a brief summary on the tasks related to supervised descriptive pattern mining. It also includes a detailed description on the tasks usually grouped under the term supervised descriptive pattern mining: subgroups discovery, contrast sets and emerging patterns. Additionally, this book includes two tasks, class association rules and exceptional models, that are also considered within this field..A major feature of this book is that it provides a general overview (formal definitions and algorithms) of all the tasks included under the term supervised descriptive pattern mining. It considers the analysis of different algorithms either based on heuristics or based on exhaustive search methodologies for any of these tasks. This book also illustrates how important these techniques are in different fields, a set of real-world applications are described..Last but not least, | | 出版日期 | Book 2018 | | 关键词 | Pattern Mining; Supervised Descriptive Rule Discovery; Subgroup Discovery; Contrast Sets; Emerging Patte | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-98140-6 | | isbn_softcover | 978-3-030-07456-2 | | isbn_ebook | 978-3-319-98140-6 | | copyright | Springer Nature Switzerland AG 2018 |
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发表于 2025-3-21 17:52:24
