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Text Mining with MATLAB®
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
|
| Edición: | 1st ed. 2013. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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|---|---|---|---|
| 001 | 978-1-4614-4151-9 | ||
| 003 | DE-He213 | ||
| 005 | 20220114171045.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 120814s2013 xxu| s |||| 0|eng d | ||
| 020 | |a 9781461441519 |9 978-1-4614-4151-9 | ||
| 024 | 7 | |a 10.1007/978-1-4614-4151-9 |2 doi | |
| 050 | 4 | |a QA76.9.D343 | |
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| 082 | 0 | 4 | |a 006.312 |2 23 |
| 100 | 1 | |a Banchs, Rafael E. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Text Mining with MATLAB® |h [electronic resource] / |c by Rafael E. Banchs. |
| 250 | |a 1st ed. 2013. | ||
| 264 | 1 | |a New York, NY : |b Springer New York : |b Imprint: Springer, |c 2013. | |
| 300 | |a XII, 356 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a Introduction -- Handling Textual Data -- Regular Expressions -- Basic Operations with Strings -- Reading and Writing Files -- Basic Corpus Statistics -- Statistical Models -- Geometrical Models -- Dimensionality Reduction -- Document Categorization -- Document Search -- Content Analysis. | |
| 520 | |a 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 as document clustering, classification, search and terminology extraction. All descriptions presented are supported with practical examples that are fully reproducible. Further reading, as well as additional exercises and projects, are proposed at the end of each chapter for those readers interested in conducting further experimentation. | ||
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Computer science-Mathematics. | |
| 650 | 0 | |a Information storage and retrieval systems. | |
| 650 | 1 | 4 | |a Data Mining and Knowledge Discovery. |
| 650 | 2 | 4 | |a Mathematical Applications in Computer Science. |
| 650 | 2 | 4 | |a Information Storage and Retrieval. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781461441526 |
| 776 | 0 | 8 | |i Printed edition: |z 9781489994646 |
| 776 | 0 | 8 | |i Printed edition: |z 9781461441502 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-1-4614-4151-9 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||