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| 001 | CAH0KE23894PDF | ||
| 003 | BD-DhSAU | ||
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| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||| | ||
| 008 | 150323t20142014fluadf ob 001 0 eng d | ||
| 020 | _a9781482205503 (e-book : PDF) | ||
| 040 |
_aBD-DhSAU _beng _cBD-DhSAU _erda |
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| 090 |
_aQA76.9.D343 _bR36 2014 |
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| 092 |
_a006.312 _bR218 |
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| 245 | 0 | 0 |
_aRapidMiner : _bdata mining use cases and business analytics applications / _cedited by Markus Hofmann, Institute of Technology Blanchardstown, Dublin, Ireland, Ralf Klinkenberg, Rapid-I - RapidMiner Dortmund, Germany. |
| 264 | 1 |
_aBoca Raton : _bCRC Press, _c[2014] |
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| 264 | 4 | _c�2014 | |
| 300 |
_a1 online resource : _btext file, PDF |
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| 336 |
_atext _2rdacontent |
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| 337 |
_acomputer _2rdamedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 |
_aChapman & Hall/CRC data mining and knowledge discovery series ; _v33 |
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| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _a1. Introduction to data mining and RapidMiner -- 2. Basic classification use cases for credit approval and in education -- 3. Marketing, cross-selling, and recommender system use cases -- 4. Clustering in medical and educational domains -- 5. Text mining : spam detection, language detection, and customer feedback analysis -- 6. Feature selection and classification in astroparticle physics and in medical domains -- 7. Molecular structure- and property-activity relationship modeling in biochemistry and medicine -- 8. Image mining : feature extraction, segmentation, and classification -- 9. Anomaly detection, instance selection, and prototype construction -- 10. Meta-learning, automated learner selection, feature selection, and parameter optimization. | |
| 520 |
_a"RapidMiner is one of the most widely used open source data mining solutions world-wide. This book provides an application use case-based introduction to data mining and to RapidMiner (and RapidAnalytics.) It presents many different applications of data mining and how to implement them with RapidMiner, and it allows readers to get started with their own data mining applications with RapidMiner, or other similar tools. The software, the data sets, and RapidMiner data mining processes used and discussed in the book are made available to readers"-- _cProvided by publisher. |
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| 530 | _aAlso available in print format. | ||
| 650 | 0 | _aData mining. | |
| 655 | 7 |
_aElectronic books. _2lcsh |
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| 700 | 1 |
_aHofmann, Markus _c(Computer scientist), _eeditor. |
|
| 700 | 1 |
_aKlinkenberg, Ralf, _eeditor. |
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| 730 | 0 | _aRapidMiner (Electronic resource) | |
| 776 | 0 | 8 |
_iPrint version: _z9781482205497 |
| 830 | 0 |
_aChapman & Hall/CRC data mining and knowledge discovery series ; _v33. |
|
| 856 | 4 | 0 |
_uhttp://marc.crcnetbase.com/isbn/9781482205503 _qapplication/PDF |
| 913 | _1115168 | ||
| 993 | _aCAH0KE23894PDF | ||
| 998 | _aexisting print | ||
| 998 |
_aliv, 465 pages, [8] pages of plates : _billustrations ; _c[ca. 23-29] cm. |
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| 999 |
_c12250 _d12249 |
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