Chapman & Hall/CRC data mining and knowledge discovery series.
یادداشتهای مربوط به مندرجات
متن يادداشت
Front Cover; Contents; List of Figures; List of Tables; Preface; 1. Introduction; 2. Properties of Statistical Distributions; 3. Important Matrix Relationships; 4. Linear Modeling and Regression; 5. Nonlinear Modeling; 6. Time Series Analysis; 7. Data Preparation and Variable Selection; 8. Model Goodness Measures; 9. Optimization Methods; 10. Miscellaneous Topics; Appendix A: Useful Mathematical Relations; Appendix B: DataMinerXL --;Microsoft Excel Add-In for Building Predictive Models; Bibliography
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Drawing on the authors' two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling, risk and marketing analytics, and other areas. It also discusses a variety of practical topics that are frequently missing from similar texts. The book begins with the statistical and linear algebra/matrix foundation of modeling methods, from distributions to cumulant and copula functions to Cornish--Fisher expansion and o.
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Automatic control.
موضوع مستند نشده
Data mining.
موضوع مستند نشده
Predictive control -- Mathematical models.
رده بندی کنگره
شماره رده
QA76
.
9
.
D343
نشانه اثر
J364
2012
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )