Supervised Descriptive Pattern Mining
暫譯: 監督式描述性模式挖掘

Sebastián Ventura, José María Luna

  • 出版商: Springer
  • 出版日期: 2018-10-24
  • 售價: $4,480
  • 貴賓價: 9.5$4,256
  • 語言: 英文
  • 頁數: 185
  • 裝訂: Hardcover
  • ISBN: 3319981390
  • ISBN-13: 9783319981390
  • 海外代購書籍(需單獨結帳)

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商品描述

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, some related tasks are also considered and analyzed. The final aim of this book is to provide a general review of the supervised descriptive pattern mining field, describing its tasks, its algorithms, its applications, and related tasks (those that share some common features).

This book  targets developers, engineers and computer scientists aiming to apply classic and heuristic-based algorithms to solve different kinds of pattern mining problems and apply them to real issues. Students and researchers working in this field, can use this comprehensive book (which includes its methods and tools) as a secondary textbook.

商品描述(中文翻譯)

本書提供了監督式描述性模式挖掘的概述,涵蓋了經典演算法和基於啟發式的演算法。它提供了一些正式定義以及有關模式、模式挖掘、模式在知識發現過程中的有用性的一般概念,並簡要總結了與監督式描述性模式挖掘相關的任務。書中還詳細描述了通常歸類於監督式描述性模式挖掘下的任務:子群體發現、對比集和新興模式。此外,本書還包括兩個任務,即類別關聯規則和例外模型,這些任務也被視為該領域的一部分。

本書的一個主要特點是提供了監督式描述性模式挖掘下所有任務的概述(正式定義和演算法)。它考慮了基於啟發式或基於徹底搜索方法的不同演算法的分析。這本書還說明了這些技術在不同領域中的重要性,並描述了一系列現實世界的應用。

最後但同樣重要的是,還考慮並分析了一些相關任務。本書的最終目的是提供監督式描述性模式挖掘領域的一般回顧,描述其任務、演算法、應用及相關任務(那些共享一些共同特徵的任務)。

本書的目標讀者是開發人員、工程師和計算機科學家,旨在應用經典和基於啟發式的演算法來解決各種模式挖掘問題並將其應用於實際問題。從事該領域的學生和研究人員可以將這本綜合性書籍(包括其方法和工具)作為輔助教材使用。