Stock image for illustration purposes only - book cover, edition or condition may vary.
Text Mining: Predictive Methods for Analyzing Unstructured Information
Weiss, Sholom M.; Indurkhya, Nitin; Zhang, Tong; Damerau, Frederick
€ 186.25
FREE Delivery in Ireland
Description for Text Mining: Predictive Methods for Analyzing Unstructured Information
hardcover. Text mining searches for regularities, patterns or trends in natural language text. This book focuses on the concepts and methods needed to expand horizons beyond structured, numeric data to automated mining of text samples. It is for researchers, computer scientists, and advanced undergraduates and graduates. Num Pages: 249 pages, 23 black & white tables, biography. BIC Classification: UN. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 245 x 166 x 21. Weight in Grams: 532.
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
Hardback
Publication date
2004
Publisher
Springer United States
Number of pages
249
Condition
New
Number of Pages
237
Place of Publication
New York, NY, United States
ISBN
9780387954332
SKU
V9780387954332
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Text Mining: Predictive Methods for Analyzing Unstructured Information