03338nam a2200553 a 4500 vtls000080119 MTX 160715001 001 0 eng d 9781118893173 9781118893197 201607151157 staff 201606141507 staff 201605041237 admin eng Ebook Brown, Meta S... 117844 Data Mining For Dummies [electronic resource] / Brown, Meta S.. WILEY, 2014. 412 p. Chapter, Lesson, Part Part I: Getting Started with Data Mining. Chapter, Lesson, Part Chapter 1: Catching the Data-Mining Train. Chapter, Lesson, Part Chapter 2: A Day in Your Life as a Data Miner. Chapter, Lesson, Part Chapter 3: Teaming Up to Reach Your Goals. Chapter, Lesson, Part Part II: Exploring Data-Mining Mantras and Methods. Chapter, Lesson, Part Chapter 4: Learning the Laws of Data Mining. Chapter, Lesson, Part Chapter 5: Embracing the Data-Mining Process. Chapter, Lesson, Part Chapter 6: Planning for Data-Mining Success. Chapter, Lesson, Part Chapter 7: Gearing Up with the Right Software. Chapter, Lesson, Part Part III: Gathering the Raw Materials. Chapter, Lesson, Part Chapter 8: Digging into Your Data. Chapter, Lesson, Part Chapter 9: Making New Data. Chapter, Lesson, Part Chapter 10: Ferreting Out Public Data Sources. Chapter, Lesson, Part Chapter 11: Buying Data. Chapter, Lesson, Part Part IV: A Data Miner's Survival Kit. Chapter, Lesson, Part Chapter 12: Getting Familiar with Your Data. Chapter, Lesson, Part Chapter 13: Dealing in Graphic Detail. Chapter, Lesson, Part Chapter 14: Showing Your Data Who's Boss. Chapter, Lesson, Part Chapter 15: Your Exciting Career in Modeling. Chapter, Lesson, Part Part V: More Data-Mining Methods. Chapter, Lesson, Part Chapter 16: Data Mining Using Classic Statistical Methods. Chapter, Lesson, Part Chapter 17: Mining Data for Clues. Chapter, Lesson, Part Chapter 18: Expanding Your Horizons. Chapter, Lesson, Part Part VI: The Part of Tens. Chapter, Lesson, Part Chapter 19: Ten Great Resources for Data Miners. Chapter, Lesson, Part Chapter 20: Ten Useful Kinds of Analysis That Complement Data Mining. Cover, 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. Data Mining & Knowledge Discovery 117845 http://portal.igpublish.com/iglibrary/search/WILEYB0001375.html 10 76668 76668