{"product_id":"9780470749821","title":"Text Mining Applications and Theory","description":"\u003ch1\u003eText Mining\u003c\/h1\u003e\u003ch2\u003eApplications and Theory\u003c\/h2\u003e\u003ch3\u003eMichael W. Berry | Jacob Kogan\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003ci\u003eText Mining: Applications and Theory\u003c\/i\u003e presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives.  The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. \u003cp\u003eThis volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning, and natural language processing can collectively capture, classify, and interpret words and their contexts.  As suggested in the preface, text mining is needed when “words are not enough.”\u003c\/p\u003e \u003cp\u003eThis book:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eProvides state-of-the-art algorithms and techniques for critical tasks in text mining applications, such as clustering, classification, anomaly and trend detection, and stream analysis.\u003c\/li\u003e \u003cli\u003ePresents a survey of text visualization techniques and looks at the multilingual text classification problem.\u003c\/li\u003e \u003cli\u003eDiscusses the issue of cybercrime associated with chatrooms.\u003c\/li\u003e \u003cli\u003eFeatures advances in visual analytics and machine learning along with illustrative examples.\u003c\/li\u003e \u003cli\u003eIs accompanied by a supporting website featuring datasets.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eApplied mathematicians, statisticians, practitioners and students in computer science, bioinformatics and engineering will find this book extremely useful.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cstrong\u003eMichael W. Berry\u003c\/strong\u003e, Professor and Associate Department Head, Department of Electrical Engineering and Computer Science, University of Tennessee.\u003cbr\u003eMichael is on the Editorial board of \u003cem\u003eComputing in Science and Engineering\u003c\/em\u003e and \u003cem\u003eStatistical Analysis and Data Mining Journals\u003c\/em\u003e. \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eJacob Kogan\u003c\/strong\u003e, Department of Mathematics and Statistics, University of Maryland Baltimore County, USA. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e10 May 2010\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780470749821\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e224\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e16.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44384850706572,"sku":"9780470749821","price":107.06,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780470749821.jpg?v=1780197215","url":"https:\/\/lateknightbooks.com\/products\/9780470749821","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}