Data Mining books and eBooksFeatured BooksImplementing Data Mining Algorithms in Microsoft SQL Serverby C.L. Curotto (Editor)N.F.F. Ebecken (Editor) Data mining technology is growing rapidly and, in many industries, has become commonplace. The main reasons for this are advances in computer technology that acquire, store and retrieve enormous amounts of data about everything from everywhere. In 2000, Microsoft introduced a data mining feature in their Microsoft [Registered] SQL Server' 2000 Analysis Services. This book covers all the practicalities required to integrate a third-party data mining algorithm into SQL Server 2000. This book is de... Information Criteria and Statistical Modelingby Sadanori KonishiGenshiro Kitagawa The Akaike information criterion (AIC) derived as an estimator of the Kullback-Leibler information discrepancy provides a useful tool for evaluating statistical models, and numerous successful applications of the AIC have been reported in various fields of natural sciences, social sciences and engineering. One of the main objectives of this book is to provide comprehensive explanations of the concepts and derivations of the AIC and related criteria, including Schwarz??s Bayesian information cri... View all Data Mining books Popular Data Mining books and eBooks in the last 24 hoursView all Data Mining titles |
|