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Introduction 1 Part I: Getting Started with Data Mining 5 Chapter 1: Catching the Data-Mining Train 7 Chapter 2: A Day in Your Life as a Data Miner 17 Chapter 3: Teaming Up to Reach Your Goals 49 Part II: Exploring Data-Mining Mantras and Methods 61 Chapter 4: Learning the Laws of Data Mining 63 Chapter 5: Embracing the Data-Mining Process 73 Chapter 6: Planning for Data-Mining Success 89 Chapter 7: Gearing Up with the Right Software 97 Part III: Gathering the Raw Materials 109 Chapter 8: Digging into Your Data 111 Chapter 9: Making New Data 119 Chapter 10: Ferreting Out Public Data Sources 141 Chapter 11: Buying Data 163 Part IV: A Data Miner's Survival Kit 171 Chapter 12: Getting Familiar with Your Data 173 Chapter 13: Dealing in Graphic Detail 195 Chapter 14: Showing Your Data Who's Boss 219 Chapter 15: Your Exciting Career in Modeling 245 Part V: More Data-Mining Methods 273 Chapter 16: Data Mining Using Classic Statistical Methods 275 Chapter 17: Mining Data for Clues 295 Chapter 18: Expanding Your Horizons 307 Part VI: The Part of Tens 319 Chapter 19: Ten Great Resources for Data Miners 321 Chapter 20: Ten Useful Kinds of Analysis That Complement Data Mining 325 Appendix A: Glossary 333 Appendix B: Data-Mining Software Sources 339 Appendix C: Major Data Vendors 349 Appendix D: Sources and Citations 357 Index 361
Meta S. Brown helps organizations use practical data analysis to solve everyday business problems. A hands-on data miner who has tackled projects with up to $900 million at stake, she is a recognized expert in cutting-edge business analytics.