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  Zhang, Tong Add to Alert Profile  
 
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  1 - 5 of 7 reviews    
  Fundamentals of predictive text mining (2nd ed.)
Weiss S., Indurkhya N., Zhang T., Springer Publishing Company, Incorporated, New York, NY, 2015. 239 pp.  Type: Book (978-1-447167-49-5)

Fundamentals of predictive text mining is a second edition that is designed as a textbook, with questions and exercises in each chapter. The authors mention that the book was extensively class tested and additional supplemental ...
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Feb 17 2016  
  Fundamentals of predictive text mining
Weiss S., Indurkhya N., Zhang T., Springer Publishing Company, Incorporated, New York, NY, 2010. 283 pp.  Type: Book (978-1-849962-25-4), Reviews: (2 of 2)

Authors that aim to address theoretical issues, including their power to explain real-world applications, often end up with textbooks that offer neither a systematic or theoretical point of view nor a useful toolbox applicable to a pro...
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Aug 3 2012  
  Fundamentals of predictive text mining
Weiss S., Indurkhya N., Zhang T., Springer Publishing Company, Incorporated, New York, NY, 2010. 283 pp.  Type: Book (978-1-849962-25-4), Reviews: (1 of 2)

As opposed to data mining, the concept of text mining lies beyond the analysis of numerous documents’ contents (aimed at their extraction from standalone or net databases). It is an identification of information snippets that...
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Jun 21 2011  
  Classifying search queries using the Web as a source of knowledge
Gabrilovich E., Broder A., Fontoura M., Joshi A., Josifovski V., Riedel L., Zhang T. ACM Transactions on the Web 3(2): 1-28, 2009.  Type: Article

With billions of pages currently available on the World Wide Web (WWW), effectively searching the Web to discover the pages relevant to user-supplied queries is of paramount importance. At the same time, the tremendous growth of the WW...
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Aug 5 2009  
  Text mining: predictive methods for analyzing unstructured information
Weiss S., Indurkhya N., Zhang T., Damerau F., SpringerVerlag, 2004.  Type: Book (9780387954332)

Text mining always has entangled relationships with information retrieval, natural language processing, and classical data mining. It is great to have this kind of book: one that wisely takes a clear stand at the beginning, to answer t...
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Mar 4 2005  

 
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