| 000 | 01090cam a2200289 i 4500 | ||
|---|---|---|---|
| 999 |
_c5629 _d5629 |
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| 001 | 55508946 | ||
| 005 | 20230518133915.0 | ||
| 008 | 040528s2005 njud b 001 0 eng d | ||
| 020 | _a0131400851 | ||
| 040 |
_aCDS _cCDS _dEG-NcFUE _erda |
||
| 082 | 0 | 4 |
_221 _a006.312 _bM.T.D |
| 100 | 1 |
_aMiller, Thomas W., _d1955-, _925971 _eauthor. |
|
| 245 | 1 | 0 |
_aData and text mining : _ba business applications approach / _cThomas W. Miller. |
| 264 | 1 |
_aUpper Saddle River, N.J. : _bPearson Prentice Hall, _c[2005] |
|
| 300 |
_axiii, 178 pages : _bcharts ; _c24 cm |
||
| 336 |
_2rdacontent _atext |
||
| 337 |
_2rdamedia _aunmediated |
||
| 338 |
_2rdacarrier _avolume |
||
| 504 | _aIncludes bibliographical references (pages 159-173) and index. | ||
| 505 | 0 | _a 1. What Is Data Mining? 2. Traditional Methods of Data Mining. 3. Data-Adaptive Methods. 4. Text Mining. 5. And In Conclusion. | |
| 650 | 0 |
_aData mining. _925972 |
|
| 650 | 0 |
_aBusiness _xData processing. _925973 |
|
| 650 | 0 |
_aText processing (Computer science) _925974 |
|
| 942 |
_cBK _2ddc |
||