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Text Mining: Predictive Methods for Analyzing Unstructured Information Fred Damerau, Nitin Indurkhya, Sholom Weiss, Tong Zhang
Publisher: Springer

Disponível em: < http://www.cgee.org.br/arquivos/pe_13.pdf>. Text Mining: Predictive Methods for Analyzing Unstructured Information. Weiss, Nitin Indurkhya, Tong Zhang, Fred J. The contents of this book seemed interesting, similar to Konchady's book but the treatment more rigorous. Data Mining in R, taught by Luis Torgo, author of best selling text, Data Mining with R, on Jun 28 - Jul 26, 2013. Text Mining: Predictive Methods for Analyzing Unstructured Information by Fred Damerau, Nitin Indurkhya, Sholom Weiss, Tong Zhang. Review – Text Mining: Predictive Methods for Analyzing Unstructured Information - In one of my previous book reviews, I stated that I was getting tired of reading the same old “introductory” books about data mining and was b. WEISS, Sholom, INDURKHYA, Nitin, ZHANG, Tong e DAMERAU, Fred. Report Builder & Report Models in Microsoft SQL Server 2005: Gerald Schinagl; Text Mining: Predictive Methods for Analyzing Unstructured Information: Shulom M. The growth of the web can be seen as an expanding public digital library collection. Text Mining: Predictive Methods for Analyzing Unstructured Information 108. Online digital information extends far beyond the web and its publicly available information. Visual Data Mining: Techniques and Tools for Data Visualization and Mining 107. Text mining – the process of analyzing unstructured natural-language text – is concerned with how to extract information from these documents.