Posted by **hill0** at March 26, 2017

English | 13 Aug. 2012 | ISBN: 1461441501 | 368 Pages | EPUB (True) | 7.57 MB

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.

Posted by **step778** at Feb. 3, 2017

2009 | pages: 308 | ISBN: 1420059408 | PDF | 4,4 mb

Posted by **naag** at Jan. 24, 2017

Italiano | 23 ottobre 2016 | ASIN: B01M5F2L85 | 424 Pagine | AZW3/MOBI/EPUB/PDF (conv) | 19.7 MB

In questo libro ci occuperemo di esplorare l’analisi dei testi tramite il linguaggio di programmazione per l’analisi dati R. Pertanto, questo libro presuppone una conoscenza delle strutture e procedure di base di R.

Posted by **Grev27** at Jan. 8, 2017

English | ISBN: 178355181X | 2017 | PDF/EPUB/MOBI (True) | 288 pages | 27 MB

Posted by **AlenMiler** at Dec. 29, 2016

English | 5 Jan. 2017 | ISBN: 178355181X | 258 Pages | AZW3/MOBI/EPUB/PDF (conv) | 24.8 MB

Posted by **AlenMiler** at Dec. 13, 2016

Italiano | 23 ottobre 2016 | ASIN: B01M5F2L85 | 424 Pagine | AZW3/MOBI/EPUB/PDF (conv) | 19.7 MB

In questo libro ci occuperemo di esplorare l’analisi dei testi tramite il linguaggio di programmazione per l’analisi dati R.

Posted by **tanas.olesya** at Sept. 27, 2016

English | 18 Feb. 2012 | ISBN: 012386979X | 1055 Pages | PDF | 203 MB

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis.

Posted by **IrGens** at Sept. 16, 2016

2016-07-27 | SKU: 02392 | .MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 2.25 hours | 871 MB

Posted by **leonardo78** at Sept. 15, 2016

Publisher: Springer | 2010 | ISBN: 1849962251 | 226 pages | PDF | 2,9 MB

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.

Posted by **Underaglassmoon** at June 15, 2016

Springer | Artificial Intelligence | April 26, 2016 | ISBN-10: 3319303651 | 250 pages | pdf | 6.18 mb

Authors: Ionescu, Radu Tudor, Popescu, Marius

Offers open source code for the techniques in the book at an associated website

Reviews state-of-the-art similarity-based learning approaches, including nearest neighbor models, kernel methods and clustering algorithms