Data mining practical machine learning tools and techniques /

Saved in:

書目詳細資料
主要作者:	Witten, I. H. (Ian H.)
企業作者:	ebrary, Inc
其他作者:	Frank, Eibe, Hall, Mark A.
格式:	電子電子書
語言:	英语
出版:	Amsterdam : Elsevier/Morgan Kaufmann, 2011.
版:	3rd ed.
主題:	Data mining. Electronic books.
在線閱讀:	An electronic book accessible through the World Wide Web; click to view
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍: Data mining

Quick Look
Data mining practical machine learning tools and techniques /
Quick Look
Data mining concepts and techniques /
Quick Look
Data analysis and data mining an introduction /
Quick Look
Data mining for dummies /
Quick Look
Spectral feature selection for data mining /
Quick Look
Active mining new directions of data mining /
Quick Look
Data mining and management
Quick Look
Data mining and predictive analytics /
Quick Look
Data mining and statistics for decision making
Quick Look
Data mining in time series databases
Quick Look
Practical text mining and statistical analysis for non-structured text data applications
Quick Look
Discovering knowledge in data an introduction to data mining /
Quick Look
Predictive analytics and data mining : concepts and practice with rapidminer /
Quick Look
Visual data mining the VisMiner approach /
Quick Look
Data mining algorithms : explained using R /
Quick Look
Social media mining with R : deploy cutting-edge sentiment analysis techniques to real-world social media data using R /
Quick Look
Business analytics and data mining with R
Quick Look
Data mining applications with R /
Quick Look
Sports Data Mining
Quick Look
Statistical data analytics : foundations for data mining, informatics, and knowledge discovery /
Quick Look
Graph-theoretic techniques for web content mining
Quick Look
Data smart : using data science to transform information into insight /
Quick Look
Making sense of data III a practical guide to designing interactive data visualizations /
Quick Look
Taming the big data tidal wave finding opportunities in huge data streams with advanced analytics /