| 000 | 02771nam a22004935i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-29206-9 | ||
| 003 | DE-He213 | ||
| 005 | 20200420221254.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 161011s2016 gw | s |||| 0|eng d | ||
| 020 |
_a9783319292069 _9978-3-319-29206-9 |
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| 024 | 7 |
_a10.1007/978-3-319-29206-9 _2doi |
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| 050 | 4 | _aQA76.9.D343 | |
| 072 | 7 |
_aUNF _2bicssc |
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| 072 | 7 |
_aUYQE _2bicssc |
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| 072 | 7 |
_aCOM021030 _2bisacsh |
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| 082 | 0 | 4 |
_a006.312 _223 |
| 100 | 1 |
_aAkerkar, Rajendra. _eauthor. |
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| 245 | 1 | 0 |
_aIntelligent Techniques for Data Science _h[electronic resource] / _cby Rajendra Akerkar, Priti Srinivas Sajja. |
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
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| 300 |
_aXVI, 272 p. 121 illus., 57 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aPreface -- Introduction -- Data Analytics -- Basic Learning Algorithms -- Fuzzy Logic -- Artificial Neural Networks -- Genetic Algorithms and Evolutionary Computing -- Other Metaheuristics and Classification Approaches -- Analytics and Big Data -- Data Analytics Using R -- Appendix I: Tools for Data Science -- Appendix II: Tools for Computational Intelligence. | |
| 520 | _aThis textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions. The authors, discuss advantages and drawbacks of different approaches, and present a sound foundation for the reader to design and implement data analytic solutions for applications in an intelligent manner. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism. | ||
| 650 | 0 | _aComputer science. | |
| 650 | 0 | _aKnowledge management. | |
| 650 | 0 | _aData mining. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 1 | 4 | _aComputer Science. |
| 650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 650 | 2 | 4 | _aKnowledge Management. |
| 700 | 1 |
_aSajja, Priti Srinivas. _eauthor. |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319292052 |
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-29206-9 |
| 912 | _aZDB-2-SCS | ||
| 942 | _cEBK | ||
| 999 |
_c52814 _d52814 |
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