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Text Mining: Predictive Methods for Analyzing Unstructured Information
Weiss, Sholom M.; Indurkhya, Nitin; Zhang, Tong; Damerau, Frederick
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Description for Text Mining: Predictive Methods for Analyzing Unstructured Information
paperback. Num Pages: 249 pages, 23 black & white tables, biography. BIC Classification: UN. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 13. Weight in Grams: 391.
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 problem can be solved by the same methods, whether the data are structured - merical measurements or unstructured text. Text and documents can be transformed into measured values, such ... Read more
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 problem can be solved by the same methods, whether the data are structured - merical measurements or unstructured text. Text and documents can be transformed into measured values, such ... Read more
Product Details
Format
Paperback
Publication date
2010
Publisher
Springer United States
Number of pages
249
Condition
New
Number of Pages
237
Place of Publication
New York, NY, United States
ISBN
9781441929969
SKU
V9781441929969
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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