Data Mining for the Masses
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Data Mining for the Masses ix Review Questions................................................................................................................................... 154 Exercise ................................................................................................................................................... 154 Chapter Ten: Decision Trees .................................................................................................................... 157 Context and Perspective ....................................................................................................................... 157 Learning Objectives ............................................................................................................................... 157 Organizational Understanding ............................................................................................................. 158 Data Understanding ............................................................................................................................... 159 Data Preparation .................................................................................................................................... 161 Modeling .................................................................................................................................................. 166 Evaluation ............................................................................................................................................... 169 Deployment ............................................................................................................................................ 171 Chapter Summary................................................................................................................................... 172 Review Questions................................................................................................................................... 172 Exercise ................................................................................................................................................... 173 Chapter Eleven: Neural Networks .......................................................................................................... 175 Context and Perspective ....................................................................................................................... 175 Learning Objectives ............................................................................................................................... 175 Organizational Understanding ............................................................................................................. 175 Data Understanding ............................................................................................................................... 176 Data Preparation .................................................................................................................................... 178 Modeling .................................................................................................................................................. 181 Evaluation ............................................................................................................................................... 181 Deployment ............................................................................................................................................ 184 Chapter Summary................................................................................................................................... 186 Review Questions................................................................................................................................... 187 Exercise ................................................................................................................................................... 187 Chapter Twelve: Text Mining ................................................................................................................... 189 Data Mining for the Masses x Context and Perspective ........................................................................................................................ 189 Learning Objectives................................................................................................................................ 189 Organizational Understanding .............................................................................................................. 190 Data Understanding ............................................................................................................................... 190 Data Preparation ..................................................................................................................................... 191 Modeling .................................................................................................................................................. 202 Evaluation ................................................................................................................................................ 203 Deployment ............................................................................................................................................. 213 Chapter Summary ................................................................................................................................... 213 Review Questions ................................................................................................................................... 214 Exercise .................................................................................................................................................... 214 SECTION THREE: Special Considerations in Data Mining .............................................................. 217 Chapter Thirteen: Evaluation and Deployment ..................................................................................... 219 How Far We’ve Come ........................................................................................................................... 219 Learning Objectives................................................................................................................................ 220 Cross-Validation ..................................................................................................................................... 221 Chapter Summary: The Value of Experience ..................................................................................... 227 Review Questions ................................................................................................................................... 228 Exercise .................................................................................................................................................... 228 Chapter Fourteen: Data Mining Ethics ................................................................................................... 231 Why Data Mining Ethics? ..................................................................................................................... 231 Ethical Frameworks and Suggestions .................................................................................................. 233 Conclusion ............................................................................................................................................... 235 GLOSSARY and INDEX ......................................................................................................................... 237 About the Author ....................................................................................................................................... 251 Yüklə 4,8 Kb. 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