03308nam a2200541 a 4500001001400000003000400014008004100018020001800059020001800077039006600095041000800161099001000169100002900179245007000208260001800278300001100296505006900307505007000376505007400446505007000520505007900590505007200669505007300741505007200814505007400886505006600960505006201026505005501088505007401143505005201217505006501269505007201334505006601406505006901472505007301541505006101614505008601675505006201761505006401823505005401887505007601941505009702017505051402114650004602628856006802674942000702742999001702749vtls000080119MTX160715001 001 0 eng d a9781118893173 a9781118893197 9a201607151157bstaffc201606141507dstaffy201605041237zadmin0 aeng aEbook1 aBrown, Meta S...911784400aData Mining For Dummiesh[electronic resource] /cBrown, Meta S.. bWILEY,c2014. a412 p.0 gChapter, Lesson, ParttPart I: Getting Started with Data Mining.0 gChapter, Lesson, ParttChapter 1: Catching the Data-Mining Train.0 gChapter, Lesson, ParttChapter 2: A Day in Your Life as a Data Miner.0 gChapter, Lesson, ParttChapter 3: Teaming Up to Reach Your Goals.0 gChapter, Lesson, ParttPart II: Exploring Data-Mining Mantras and Methods.0 gChapter, Lesson, ParttChapter 4: Learning the Laws of Data Mining.0 gChapter, Lesson, ParttChapter 5: Embracing the Data-Mining Process.0 gChapter, Lesson, ParttChapter 6: Planning for Data-Mining Success.0 gChapter, Lesson, ParttChapter 7: Gearing Up with the Right Software.0 gChapter, Lesson, ParttPart III: Gathering the Raw Materials.0 gChapter, Lesson, ParttChapter 8: Digging into Your Data.0 gChapter, Lesson, ParttChapter 9: Making New Data.0 gChapter, Lesson, ParttChapter 10: Ferreting Out Public Data Sources.0 gChapter, Lesson, ParttChapter 11: Buying Data.0 gChapter, Lesson, ParttPart IV: A Data Miner's Survival Kit.0 gChapter, Lesson, ParttChapter 12: Getting Familiar with Your Data.0 gChapter, Lesson, ParttChapter 13: Dealing in Graphic Detail.0 gChapter, Lesson, ParttChapter 14: Showing Your Data Who's Boss.0 gChapter, Lesson, ParttChapter 15: Your Exciting Career in Modeling.0 gChapter, Lesson, ParttPart V: More Data-Mining Methods.0 gChapter, Lesson, ParttChapter 16: Data Mining Using Classic Statistical Methods.0 gChapter, Lesson, ParttChapter 17: Mining Data for Clues.0 gChapter, Lesson, ParttChapter 18: Expanding Your Horizons.0 gChapter, Lesson, ParttPart VI: The Part of Tens.0 gChapter, Lesson, ParttChapter 19: Ten Great Resources for Data Miners.0 gChapter, Lesson, ParttChapter 20: Ten Useful Kinds of Analysis That Complement Data Mining.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. aData Mining & Knowledge Discovery911784540uhttp://portal.igpublish.com/iglibrary/search/WILEYB0001375.html c10 c76668d76668