| 000 | 01182nam a2200277Ia 4500 | ||
|---|---|---|---|
| 003 | BD-DhNLB | ||
| 005 | 20230108125810.0 | ||
| 008 | 070629s2008 flua b 001 0 eng | ||
| 010 | _a2007027465 | ||
| 020 | _a9781584888789 (alk. paper);1584888784 (alk. paper) | ||
| 035 | _a(OCoLC)ocn154309055;(OCoLC)154309055 | ||
| 040 |
_aDLC _cDLC _dBAKER;BTCTA;C#P;YDXCP;BD-DhNLB |
||
| 041 | _heng | ||
| 050 |
_aQA76.9.D3 _bC64 2008 |
||
| 082 |
_a5.74 _222 _bCOM 2008. |
||
| 245 | 0 |
_aComputational methods of feature selection / _cedited by Huan Liu, Hiroshi Motoda. |
|
| 260 |
_aBoca Raton : _bChapman & Hall/CRC, _cc2008. |
||
| 300 |
_a419 p. : _bill. _c25 cm. |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 520 | _aSummary: Feature selection is an essential step for successful data mining applications and has practical significance in many areas, such as statistics, pattern recognition, machine learning, and knowledge discovery. This text covers the key concepts, | ||
| 590 | _aFerdous | ||
| 650 |
_aDatabase management.;Data mining.;Machine learning. _95983 |
||
| 700 |
_aLiu, Huan,;Motoda, Hiroshi. _95984 |
||
| 700 |
_d-1958 _91 |
||
| 942 |
_2ddc _cBK |
||
| 999 |
_c11538 _d11538 |
||