{"product_id":"fundamentals-of-predictive-text-mining-9781447125655","title":"Fundamentals of Predictive Text Mining","description":"\u003cp\u003e • Author(s): Weiss, Sholom M.\u003cbr\u003e • Publisher: Springer Verlag\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • Subject: Computer Science and Information Technology\u003cbr\u003e • BISAC: Data Science - Data Analytics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eOne 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.\u003c\/p\u003e \u003cp\u003eDeveloped from the authors' highly successful Springer reference on text mining, \u003cstrong\u003e\u003cem\u003eFundamentals of Predictive Text Mining\u003c\/em\u003e\u003c\/strong\u003e 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 mining. In-depth discussions are presented on issues of document classification, information retrieval, clustering and organizing documents, information extraction, web-based data-sourcing, and prediction and evaluation. Background on data mining is beneficial, but not essential. Where advanced concepts are discussed that require mathematical maturity for a proper understanding, intuitive explanations are also provided for less advanced readers.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eTopics and features: \u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003ePresents a comprehensive, practical and easy-to-read introduction to text mining\u003c\/li\u003e \u003cli\u003eIncludes chapter summaries, useful historical and bibliographic remarks, and classroom-tested exercises for each chapter\u003c\/li\u003e \u003cli\u003eExplores the application and utility of each method, as well as the optimum techniques for specific scenarios\u003c\/li\u003e \u003cli\u003eProvides several descriptive case studies that take readers from problem description to systems deployment in the real world\u003c\/li\u003e \u003cli\u003eIncludes access to industrial-strength text-mining software that runs on any computer.\u003c\/li\u003e \u003cli\u003eDescribes methods that rely on basic statistical techniques, thus allowing for relevance to all languages (not just English)\u003c\/li\u003e \u003cli\u003eContains links to free downloadable software and other supplementary instruction material\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003e\u003cem\u003eFundamentals of Predictive Text Mining\u003c\/em\u003e\u003c\/strong\u003e is an essential resource for IT professionals and managers, as well as a key text for advanced undergraduate computer science students and beginning graduate students.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eDr. Sholom M. Weiss \u003c\/strong\u003eis a Research Staff Member with the IBM Predictive Modeling group, in Yorktown Heights, New York, and Professor Emeritus of Computer Science at Rutgers University. \u003cstrong\u003eDr. Nitin Indurkhya\u003c\/strong\u003e 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 Ltd. \u003cstrong\u003eDr. Tong Zhang\u003c\/strong\u003e is Associate Professor at the Department of Statistics and Biostatistics at Rutgers University, New Jersey.\u003c\/p\u003e","brand":"Springer Verlag","offers":[{"title":"Paperback","offer_id":45091347234967,"sku":"9781447125655","price":6167.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781447125655.webp?v=1769204258","url":"https:\/\/atlanticbooks.com\/products\/fundamentals-of-predictive-text-mining-9781447125655","provider":"Atlantic Books","version":"1.0","type":"link"}