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Survey of Text Mining: Clustering, Classification, and Retrieval



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Survey of Text Mining: Clustering, Classification, and Retrieval

ISBN  0387955631
Release Date  30 November 1999
Category  Miscellaneous
Tags  mining,  
clustering,  
text mining,  
cluster,  
data mining,  
retrieval,  
"text mining",  
text,  
classification,  
information retrieval,  
survey,  
0387955631,  
text processing,  
text categorization,  
"mining",  
web mining,  
cluster analysis,  
pattern classification,  
modern information retrieval,  
windows cluster,  
servidores cluster,  
text analysis,  
text and mining,  
linux cluster,  
text +mining,  
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Description

Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory. As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. Knowledge extraction or creation from text requires systematic yet reliable processing that can be codified and adapted for changing needs and environments. This book will draw upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. It will address document identification, clustering and categorizing documents, cleaning text, and visualizing semantic models of text.




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