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Book Categories |
Preface | ||
1 | Introduction | 1 |
Pt. I | Methodology | 17 |
2 | Organisation of the data | 19 |
3 | Exploratory data analysis | 33 |
4 | Computational data mining | 69 |
5 | Statistical data mining | 129 |
6 | Evaluation of data mining methods | 187 |
Pt. II | Business cases | 207 |
7 | Market basket analysis | 209 |
8 | Web clickstream analysis | 229 |
9 | Profiling website visitors | 255 |
10 | Customer relationship management | 273 |
11 | Credit scoring | 293 |
12 | Forecasting television audience | 323 |
Bibliography | 353 | |
Index | 357 |
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Add Applied Data Mining Statistical Methods for Business and Industry, Applied Data Mining: Statistical Methods for Business and Industry is primarily aimed at advanced undergraduate and graduate students of data mining, applied statistics, database management, computer science and economics. The case studies give guidance t, Applied Data Mining Statistical Methods for Business and Industry to the inventory that you are selling on WonderClubX
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Add Applied Data Mining Statistical Methods for Business and Industry, Applied Data Mining: Statistical Methods for Business and Industry is primarily aimed at advanced undergraduate and graduate students of data mining, applied statistics, database management, computer science and economics. The case studies give guidance t, Applied Data Mining Statistical Methods for Business and Industry to your collection on WonderClub |