Managing Data Mining Technologies in Organizations : Techniques and Applications

This book details the state-of-the-art data mining research, which reflects in a potpourri of chapters that demonstrate diverse use of techniques and their applications for data mining.

Managing Data Mining Technologies in Organizations: Techniques and Applications details the state-of-the-art data mining research, which reflects in a potpourri of chapters that demonstrate diverse use of techniques and their applications for data mining. The chapters illustrate applications of data mining and visualization for credit screening, forecasting, medical diagnosis, genetic algorithms, Bayesian networks, neural networks, and many others. The chapters discuss research results and applications of data mining to deliver rich decision-making information.

"Managing Data Mining Technologies in Organizations: Techniques and Applications details the state-of-the-art data mining research, which reflects in a collection of chapters that demonstrate diverse use of techniques and their applications of data mining. The Chapters illustrate applications of data mining and visualization for credit screening, forecasting, medical diagnosis, genetic algorithms, Bayesian networks, neural networks, and many others. The chapters discuss research results and applications of data mining to deliver rich decision-making information."--Jacket Annotation Managing Data Mining Technologies in Organizations: Techniques and Applications details the state-of-the-art data mining research, reflected in chapters that demonstrate diverse use of techniques and their applications for data mining. The chapters illustrate applications of data mining and visualization for credit screening, forecasting, medical diagnosis, genetic algorithms, Bayesian networks, neural networks, and many others and discuss research results and applications of data mining to deliver rich decision-making information "The history of the credit scoring ideas started in the early '40s, but the prosperity of the scoring techniques became widespread in the '50s, when William Fair and Earl Isaac set up Fair, Isaac and Company in San Francisco (Janc & Kraska, 2001)."