Text Mining with MATLAB®
Text Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. Get and download textbook Text Mining with MATLAB® for free
author rafael e banchs format hardback language english publication year 13 08 2012 subject computing it subject 2 computing professional programming payment shipping rates returns text mining with matlab product category books isbn 1461441501 title text mining with matlab ean 9781461441502 authors banchs rafael e binding hardcover publisher springer publication date 2012 08 13 pages 355 signed false first edition false dust jacket false list price msrp 85 50 height 1 0000 inches width 6 3000 in
It's designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications. The first part provides an introduction to basic procedures for handling and operating with text strings. Then, it reviews major mathematical modeling approaches. Statistical and geometrical models are also described along with main dimensionality reduction methods. Finally, it presents some specific applications such as document clustering, classification, search and terminology extraction. All descriptions presented are supported with practical examples that are Text Mining with MATLAB® new edition
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Text Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. It's designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications.
The first part provides an introduction to basic procedures for handling and operating with text strings. Then, it reviews major mathematical modeling approaches. Statistical and geometrical models are also described along with main dimensionality reduction methods. Finally, it presents some specific applications such
The first part provides an introduction to basic procedures for handling and operating with text strings. Then, it reviews major mathematical modeling approaches. Statistical and geometrical models are also described along with main dimensionality reduction methods. Finally, it presents some specific applications such
Text Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. Its designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications. The first part provides an introduction to basic procedures for handling and operating with text strings. Then, it reviews major mathematical modeling approaches. Statistical and geometrical models are also described along with main dimensionality reduction methods. Finally, it presents some specific applications such a
Store Search search Title, ISBN and Author Text Mining with MATLAB by Rafael E. Banchs Estimated delivery 3-12 business days Format Hardcover Condition Brand New Suitable for text mining practitioners, this title offers introduction to text mining using MATLAB. It presents the basic procedures for handling and operating with text strings. It reviews major mathematical modeling approaches. It describes statistical and geometrical models along with main dimensionality reduction methods. Publisher
author rafael e banchs format hardback language english publication year 13 08 2012 subject computing it subject 2 computing professional programming title text mining with matlab author banchs rafael e publisher springer verlag new york inc publication date aug 14 2012 pages 355 binding hardcover dimensions 6 25 wx 9 25 hx 1 00 d isbn 1461441501 subject computers database management data mining brand new hardcover all orders get full access to our online status tracking service allowing you t
Text Mining with MATLAB® Textbook
It's designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications. The first part provides an introduction to basic procedures for handling and operating with text strings. Then, it reviews major mathematical modeling approaches. Statistical and geometrical models are also described along with main dimensionality reduction methods
All descriptions presented are supported with practical examples that are
