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008 | 150903s2011 xxu| o |||| 0|eng d | ||
020 |
_a9781441998903 _99781441998903 |
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024 | 7 |
_a10.1007/9781441998903 _2doi |
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035 | _avtls000339460 | ||
039 | 9 |
_a201509030316 _bVLOAD _c201404300400 _dVLOAD _y201402060935 _zstaff |
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_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aQA276-280 | |
100 | 1 |
_aWilliams, Graham. _eautor _9299243 |
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245 | 1 | 0 |
_aData Mining with Rattle and R : _bThe Art of Excavating Data for Knowledge Discovery / _cby Graham Williams. |
264 | 1 |
_aNew York, NY : _bSpringer New York, _c2011. |
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300 |
_axx, 374 páginas 95 ilustraciones, 80 ilustraciones en color. _brecurso en línea. |
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336 |
_atexto _btxt _2rdacontent |
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337 |
_acomputadora _bc _2rdamedia |
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338 |
_arecurso en línea _bcr _2rdacarrier |
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_aarchivo de texto _bPDF _2rda |
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490 | 0 | _aUse R | |
500 | _aSpringer eBooks | ||
505 | 0 | _aIntroduction -- Getting Started -- Working with Data -- Loading Data -- Exploring Data -- Interactive Graphics -- Transforming Data -- Descriptive and Predictive Analytics -- Cluster Analysis -- Association Analysis -- Decision Trees -- Random Forests -- Boosting -- Support Vector Machines -- Model Performance Evaluation -- Deployment. | |
520 | _aData mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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776 | 0 | 8 |
_iEdición impresa: _z9781441998897 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4419-9890-3 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
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