[PDF.52be] Text Mining: Predictive Methods for Analyzing Unstructured Information

Text Mining: Predictive Methods for Analyzing Unstructured Information

[PDF.ev64] Text Mining: Predictive Methods for Analyzing Unstructured Information

Text Mining: Predictive Methods  Sholom M. Weiss, Nitin Indurkhya, Tong Zhang, Fred Damerau epub
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Text Mining: Predictive Methods  Sholom M. Weiss, Nitin Indurkhya, Tong Zhang, Fred Damerau book review
Text Mining: Predictive Methods  Sholom M. Weiss, Nitin Indurkhya, Tong Zhang, Fred Damerau summary

 | #1858676 in Books |  Sholom Weiss |  2004-10-25 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.21 x.63 x6.14l,1.10 | File type: PDF | 237 pages

 | Text Mining Predictive Methods for Analyzing Unstructured Information

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||0 of 0 people found the following review helpful.| Good Technical book|By Gregory Dellacroce|This book is not for the faint of heart. It is technical in nature, which is what I was looking for, but you may need to think closely|0 of 0 people found the following review helpful.| This writing in this book is very often amazingly obtuse ...|By dfc37|This writing in this book is v|From the Back Cover||One consequence of the pervasive use of computers is that most documents originate in digital form. Text mining―the process of searching, retrieving, and analyzing unstructured, natural-language text―is concerned with how to exploit the

Data mining is a mature technology. The prediction problem, looking for predictive patterns in data, has been widely studied. Strong me- ods are available to the practitioner. These methods process structured numerical information, where uniform measurements are taken over a sample of data. Text is often described as unstructured information. So, it would seem, text and numerical data are different, requiring different methods. Or are they? In our view, a prediction prob...

You easily download any file type for your gadget.Text Mining: Predictive Methods for Analyzing Unstructured Information   |  Sholom M. Weiss, Nitin Indurkhya, Tong Zhang, Fred Damerau. A good, fresh read, highly recommended.

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