Data Mining and Knowledge Discovery Handbook, 2 Edition part 43

Data Mining and Knowledge Discovery Handbook, 2 Edition part 43. Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be discovered – this is the challenge created by today’s abundance of data. Data Mining and Knowledge Discovery Handbook, 2nd Edition organizes the most current concepts, theories, standards, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery. | 400 Alex A. Freitas University Edinburgh UK. Sharpe PK and Glover RP 1999 Efficient GA based techniques for classification. Applied Intelligence 11 277-284. Smith RE 2000 Learning classifier systems. In T. Back . Fogel and T. Michalewicz Eds. Evolutionary Computation 1 Basic Algorithms and Operators 114-123. Institute of Physics Publishing. Smith MG and Bull L 2003 Feature construction and selection using genetic programming and a genetic algorithm. Genetic Programming Proc. EuroGP-2003 LNCS 2610 229237. Springer. Smith MG and Bull L 2004 Using genetic programming for feature creation with a genetic algorithm feature selector. Proc. Parallel Problem Solving From Nature PPSN-2004 LNCS 3242 1163-1171 Springer. Song D Heywood MI and Zincir-Heywood AN 2005 Training genetic programming on half a million patterns an example from anomaly detection. IEEE Trans. Evolutionary Computation 9 3 225-239 June 2005. Srikanth R George R Warsi N Prabhu D Petry FE Buckles B 1995 A variable-length genetic algorithm for clustering and classification. Pattern Recognition Letters 16 8 789-800. Tan PN Steinbach M and Kumar V 2006 Introduction to Data Mining. Addison-Wesley. Terano T and Ishino Y 1998 Interactive genetic algorithm based feature selection and its application to marketing data analysis. In Liu H and Motoda H Eds. Feature Extraction Construction and Selection a data mining perspective 393-406. Kluwer. Terano T and Inada M 2002 Data mining from clinical data using interactive evolutionary computation. In A. Ghosh and S. Tsutsui Eds. Advances in Evolutionary Computing theory and applications 847-861. Springer. Vafaie H and De Jong K 1998 Evolutionary Feature Space Transformation. In H. Liu and H. Motoda Eds. Feature Extraction Construction and Selection 307-323. Kluwer. Witten IH and Frank E 2005 Data Mining practical machine learning tools and techniques . 2nd Ed. Morgan Kaufmann. Wong ML and Leung KS 2000 Data Mining Using Grammar Based Genetic Programming and .