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Название: Supervised Descriptive Pattern Mining
Автор: Sebasti?n Ventura, Jos? Mar?a Luna
Издательство: Springer
Год: 2018
Страниц: 185
Формат: PDF, EPUB
Размер: 10 Mb
Язык: English
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.