| 000 | 03338nam a2200553 a 4500 | ||
|---|---|---|---|
| 001 | vtls000080119 | ||
| 003 | MTX | ||
| 008 | 160715001 001 0 eng d | ||
| 020 | _a9781118893173 | ||
| 020 | _a9781118893197 | ||
| 039 | 9 |
_a201607151157 _bstaff _c201606141507 _dstaff _y201605041237 _zadmin |
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| 041 | 0 | _aeng | |
| 099 | _aEbook | ||
| 100 | 1 |
_aBrown, Meta S... _9117844 |
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| 245 | 0 | 0 |
_aData Mining For Dummies _h[electronic resource] / _cBrown, Meta S.. |
| 260 |
_bWILEY, _c2014. |
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| 300 | _a412 p. | ||
| 505 | 0 |
_gChapter, Lesson, Part _tPart I: Getting Started with Data Mining. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 1: Catching the Data-Mining Train. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 2: A Day in Your Life as a Data Miner. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 3: Teaming Up to Reach Your Goals. |
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| 505 | 0 |
_gChapter, Lesson, Part _tPart II: Exploring Data-Mining Mantras and Methods. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 4: Learning the Laws of Data Mining. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 5: Embracing the Data-Mining Process. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 6: Planning for Data-Mining Success. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 7: Gearing Up with the Right Software. |
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| 505 | 0 |
_gChapter, Lesson, Part _tPart III: Gathering the Raw Materials. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 8: Digging into Your Data. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 9: Making New Data. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 10: Ferreting Out Public Data Sources. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 11: Buying Data. |
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| 505 | 0 |
_gChapter, Lesson, Part _tPart IV: A Data Miner's Survival Kit. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 12: Getting Familiar with Your Data. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 13: Dealing in Graphic Detail. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 14: Showing Your Data Who's Boss. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 15: Your Exciting Career in Modeling. |
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| 505 | 0 |
_gChapter, Lesson, Part _tPart V: More Data-Mining Methods. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 16: Data Mining Using Classic Statistical Methods. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 17: Mining Data for Clues. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 18: Expanding Your Horizons. |
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| 505 | 0 |
_gChapter, Lesson, Part _tPart VI: The Part of Tens. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 19: Ten Great Resources for Data Miners. |
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| 505 | 0 |
_gChapter, Lesson, Part _tChapter 20: Ten Useful Kinds of Analysis That Complement Data Mining. |
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| 505 | 0 | _aCover, Title,Verse : an introduction to prosody--Preface, Introduction, TOC,Contents at a Glance--Preface, Introduction, TOC,Table of Contents--Preface, Introduction, TOC,Introduction--References, Appendix, Index,Appendix A: Glossary--References, Appendix, Index,Appendix B: Data-Mining Sof tware Sources--References, Appendix, Index,Appendix C: Major Data Vendors--References, Appendix, Index,Appendix D: Sources and Citations--References, Appendix, Index,Index--References, Appendix, Index,About the Author. | |
| 650 |
_aData Mining & Knowledge Discovery _9117845 |
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| 856 | 4 | 0 | _uhttp://portal.igpublish.com/iglibrary/search/WILEYB0001375.html |
| 942 | _c10 | ||
| 999 |
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