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The text mining handbook : advanced approaches in analyzing unstructured data
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The text mining handbook : advanced approaches in analyzing unstructured data

著者: Ronen Feldman; James Sanger
出版商: Cambridge ; New York : Cambridge University Press, 2007.
版本/格式:   图书 : 英语查看所有的版本和格式
提要:
Text mining tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, this book examines advanced pre-processing techniques, knowledge representation considerations, and  再读一些...
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类型/形式: Handbooks, manuals, etc
材料类型: 互联网资源
文件类型: 书, 互联网资源
所有的著者/提供者: Ronen Feldman; James Sanger
ISBN: 0521836573 9780521836579
OCLC号码: 61881155
描述: xii, 410 p. : ill. ; 27 cm.
内容: Introduction to text mining --
Core text mining operations --
Text mining preprocessing techniques --
Categorization --
Clustering --
Information extraction --
Probabilistic models for information extraction --
Preprocessing applications using probabilistic and hybrid approaches --
Presentation-layer considerations for browsing and query refinement --
Visualization approaches --
Link analysis --
Text mining applications.
责任: Ronen Feldman, James Sanger.
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摘要:

Covers text mining and link detection algorithms, pre-processing techniques, knowledge representation, visualization and applications.  再读一些...

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' ... buy the book. This book is definitely worth having in your book shelf as a handy reference.' IAPR Newsletter

 
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