Reliable Knowledge Discovery

• Corporate Author: SpringerLink (Online service)
• Other Authors: Dai, Honghua (Editor), Liu, James N. K. (Editor), Smirnov, Evgueni (Editor)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2012.
• Subjects: Computer science.; Data structures (Computer science).; Database management.; Artificial intelligence.; Computer graphics.; Pattern recognition.; Computer Science.; Artificial Intelligence (incl. Robotics).; Database Management.; Pattern Recognition.; Data Storage Representation.; Computer Graphics.

Reliable Knowledge Discovery focuses on theory, methods, and techniques for RKDD, a new sub-field of KDD. It studies the theory and methods to assure the reliability and trustworthiness of discovered knowledge and to maintain the stability and consistency of knowledge discovery processes. RKDD has a...