Intelligent Data Mining Techniques and Applications /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ruan, Da (Editor), Chen, Guoqing (Editor), Kerre, Etienne E. (Editor), Wets, Geert (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Series: Studies in Computational Intelligence, 5
• Subjects: Engineering.; Information technology.; Business > Data processing.; Computers.; Pattern recognition.; Applied mathematics.; Engineering mathematics.; Control engineering.; Robotics.; Mechatronics.; Appl.Mathematics/Computational Methods of Engineering.; Pattern Recognition.; Information Systems and Communication Service.; IT in Business.; Control, Robotics, Mechatronics.

Intelligent Data Mining - Techniques and Applications is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main object...