Data Mining and Knowledge Discovery with Evolutionary Algorithms (Natural Computing Series)
暫譯: 使用演化演算法進行資料探勘與知識發現(自然計算系列)

Alex A. Freitas

  • 出版商: Springer
  • 出版日期: 2012-03-14
  • 售價: $4,520
  • 貴賓價: 9.5$4,294
  • 語言: 英文
  • 頁數: 265
  • 裝訂: Paperback
  • ISBN: 3642077633
  • ISBN-13: 9783642077630
  • 相關分類: Algorithms-data-structuresData-mining
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics

商品描述(中文翻譯)

本書整合了計算機科學的兩個領域,即資料探勘(data mining)和進化演算法(evolutionary algorithms)。這兩個領域在過去幾年中變得越來越受歡迎,而它們的整合目前是一個活躍的研究領域。一般來說,資料探勘是從數據中提取知識的過程。將進化演算法應用於資料探勘的動機在於,進化演算法是一種穩健的搜尋方法,能在候選解的空間中進行全域搜尋。本書強調發現可理解且有趣的知識的重要性,這些知識對於智能決策可能是有用的。文本解釋了基本概念和進階主題。