000 | 01354nam a2200301 4500 | ||
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999 |
_c27187 _d27187 |
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003 | CUTN | ||
005 | 20190402110715.0 | ||
008 | 190402b ||||| |||| 00| 0 eng d | ||
020 | _a9788131707173 | ||
041 | _aEnglish | ||
082 |
_a006.3 _bADR |
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100 | _aAdriaans, Pieter | ||
245 |
_aData mining _cPieter Adriaans; Dolf Zantinge |
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260 |
_aNoida : _bPearson Education, _c1996. |
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300 |
_axi, 168 pages : _billustrations ; _c24 cm |
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505 |
_tIntroduction _tWhat is learning? _tData mining and the data warehouse _tThe knowledge discovery process _tSetting up a KDD environment _tSome real-life applications _tSome formal aspects of learning algorithms |
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520 | _aData mining is a term used for the discovery of hidden knowledge, unexpected patterns, and rules in large databases. It is also an element in a more involved process called knowledge discovery. This text aims to provide guidelines to help the setting up of a data mining environment. | ||
650 | _aData mining | ||
650 | _aDatabase management | ||
650 | _aNeural networks (Computer science) | ||
650 |
_aArtificial intelligence _94 |
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650 | _aComputer algorithms | ||
650 | _aComputer network architectures | ||
650 | _aComputer organization | ||
650 | _aKnowledge acquisition (Expert systems) | ||
700 | _aZantinge, Dolf | ||
942 |
_2ddc _cBOOKS |