Data Mining: Concepts, Models, Methods, and Algorithms discusses data mining principles and then describes representative state-of-the-art methods and algorithms originating from different disciplines such as statistics, machine learning, neural networks, fuzzy logic, and evolutionary computation. Detailed algorithms are provided with necessary explanations and illustrative examples.
Date: 13/01/2008 - View Full Info - Downloads: 22 - Download Data Mining: Concepts, Models, Methods, and Algorithms (4.1MB)
In order to find new ways to improve customer sales and support, and as well as manage risk, business managers must be able to mine company databases. This book provides a step-by-step guide to creating and implementing models of the most commonly asked data mining questions.
Date: 13/01/2008 - View Full Info - Downloads: 17 - Download Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Manageme (5.5MB)
High Performance Data Mining: Scaling Algorithms, Applications and Systems serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
Date: 10/01/2008 - View Full Info - Downloads: 14 - Download High Performance Data Mining - Scaling Algorithms, Applications and Systems (1MB)
Wang and Fu present in detail the state of the art on how to utilize fuzzy neural networks, multilayer perceptron neural networks, radial basis function neural networks, genetic algorithms, and support vector machines in such applications.
Date: 10/01/2008 - View Full Info - Downloads: 9 - Download Data Mining with Computational Intelligence (1.9MB)
Tech Mining makes exploitation of text databases meaningful to those who can gain from derived knowledge about emerging technologies. It begins with the premise that we have the information, the tools to exploit it, and the need for the resulting knowledge.
Date: 10/01/2008 - View Full Info - Downloads: 11 - Download Tech Mining: Exploiting New Technologies for Competitive Advantage (2MB)
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