Metaheuristics for Big Data
Dhaenens, Clarisse, Jourdan, Laetitia
- 出版商: Wiley
- 出版日期: 2016-08-29
- 售價: $5,840
- 貴賓價: 9.5 折 $5,548
- 語言: 英文
- 頁數: 224
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1848218060
- ISBN-13: 9781848218062
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相關分類:
大數據 Big-data
下單後立即進貨 (約1~3週)
相關主題
商品描述
The use of metaheuristics to overcome some of these data mining challenges is introduced and justified in the first part of the book, alongside a specific protocol for the performance evaluation of algorithms. An introduction to metaheuristics follows. The second part of the book details a number of data mining tasks, including clustering, association rules, supervised classification and feature selection, before explaining how metaheuristics can be used to deal with them. This book is designed to be self-contained, so that readers can understand all of the concepts discussed within it, and to provide an overview of recent applications of metaheuristics to knowledge discovery problems in the context of Big Data.
作者簡介
Laetitia JOURDAN is Professor at the University of Lille in France and belongs to a research team working with both CRIStAL Laboratory (UMR CNRS) and Inria.