Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications
โ Scribed by Kattamuri S. Sarma
- Publisher
- SAS Institute
- Year
- 2013
- Tongue
- English
- Leaves
- 550
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Learn the theory behind and methods for predictive modeling using SAS Enterprise Miner.
Learn how to produce predictive models and prepare presentation-quality graphics in record time with Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Second Edition.
If you are a graduate student, researcher, or statistician interested in predictive modeling; a data mining expert who wants to learn SAS Enterprise Miner; or a business analyst looking for an introduction to predictive modeling using SAS Enterprise Miner, you'll be able to develop predictive models quickly and effectively using the theory and examples presented in this book.
Author Kattamuri Sarma offers the theory behind, programming steps for, and examples of predictive modeling with SAS Enterprise Miner, along with exercises at the end of each chapter. You'll gain a comprehensive awareness of how to find solutions for your business needs. This second edition features expanded coverage of the SAS Enterprise Miner nodes, now including File Import, Time Series, Variable Clustering, Cluster, Interactive Binning, Principal Components, AutoNeural, DMNeural, Dmine Regression, Gradient Boosting, Ensemble, and Text Mining.
Develop predictive models quickly, learn how to test numerous models and compare the results, gain an in-depth understanding of predictive models and multivariate methods, and discover how to do in-depth analysis. Do it all with Predictive Modeling with SAS Enterprise Miner.
This book is part of the SAS Press program.
โฆ Subjects
Mathematical & Statistical;Software;Computers & Technology;Probability & Statistics;Applied;Mathematics;Science & Math;Computer Science;Algorithms;Artificial Intelligence;Database Storage & Design;Graphics & Visualization;Networking;Object-Oriented Software Design;Operating Systems;Programming Languages;Software Design & Engineering;New, Used & Rental Textbooks;Specialty Boutique;Statistics;Mathematics;Science & Mathematics;New, Used & Rental Textbooks;Specialty Boutique
๐ SIMILAR VOLUMES
Combine complex concepts facing the financial sector with the software toolsets available to analysts. The credit decisions you make are dependent on the data, models, and tools that you use to determine them. Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT: Theory and Applica
Combine complex concepts facing the financial sector with the software toolsets available to analysts. <br /><br />The credit decisions you make are dependent on the data, models, and tools that you use to determine them. Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT: Theory
Combine complex concepts facing the financial sector with the software toolsets available to analysts. <br /><br />The credit decisions you make are dependent on the data, models, and tools that you use to determine them. Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT: Theory
Combine complex concepts facing the financial sector with the software toolsets available to analysts. <br /><br />The credit decisions you make are dependent on the data, models, and tools that you use to determine them. Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT: Theory
<b>Combine complex concepts facing the financial sector with the software toolsets available to analysts. </b> <p> The credit decisions you make are dependent on the data, models, and tools that you use to determine them. <i>Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT: Theo