.png){kind=logo}
Stock image for illustration purposes only - book cover, edition or condition may vary.
Fundamentals of Predictive Text Mining
Weiss, Sholom M.; Indurkhya, Nitin; Zhang, Tong
€ 72.46
FREE Delivery in Ireland
Description for Fundamentals of Predictive Text Mining
paperback. This is an introductory textbook and guide to the rapidly evolving field of predictive text mining. There are chapter summaries, historical and bibliographic remarks, and classroom-tested exercises for each chapter. Descriptive case studies are also included. Series: Texts in Computer Science. Num Pages: 240 pages, biography. BIC Classification: JPP; UGD; UNF; UNH. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 12. Weight in Grams: 346.
One consequence of the pervasive use of computers is that most documents originate in digital form. Widespread use of the Internet makes them readily available. Text mining – the process of analyzing unstructured natural-language text – is concerned with how to extract information from these documents. Developed from the authors’ highly successful Springer reference on text mining, Fundamentals of Predictive Text Mining is an introductory textbook and guide to this rapidly evolving field. Integrating topics spanning the varied disciplines of data mining, machine learning, databases, and computational linguistics, this uniquely useful book also provides practical advice for text ... Read more
One consequence of the pervasive use of computers is that most documents originate in digital form. Widespread use of the Internet makes them readily available. Text mining – the process of analyzing unstructured natural-language text – is concerned with how to extract information from these documents. Developed from the authors’ highly successful Springer reference on text mining, Fundamentals of Predictive Text Mining is an introductory textbook and guide to this rapidly evolving field. Integrating topics spanning the varied disciplines of data mining, machine learning, databases, and computational linguistics, this uniquely useful book also provides practical advice for text ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer United Kingdom
Number of pages
240
Condition
New
Series
Texts in Computer Science
Number of Pages
226
Place of Publication
England, United Kingdom
ISBN
9781447125655
SKU
V9781447125655
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Weiss, Sholom M.; Indurkhya, Nitin; Zhang, Tong
Dr. Sholom M. Weiss is a Research Staff Member with the IBM Predictive Modeling group, in Yorktown Heights, New York, and Professor Emeritus of Computer Science at Rutgers University. Dr. Nitin Indurkhya is Professor at the School of Computer Science and Engineering, University of New South Wales, Australia, as well as founder and president of data-mining consulting company Data-Miner Pty ... Read more
Reviews for Fundamentals of Predictive Text Mining
From the reviews: "This is a practical, up-to-date account of the various techniques for dealing intelligently with free text. It would be an invaluable resource to any advanced undergraduate student interested in information retrieval." (Patrick Oladimeji, Times Higher Education, 26 May 2011) “This is a well-written and interesting text for information technology (IT) professionals and computer science students. ... Read more