This book outlines the core theory and practice of data mining and knowledge discovery (DM a KD) examining theoretical foundations for various methods, and presenting an array of examples, many drawn from real-life applications. Most theoretical developments are accompanied by extensive empirical analysis, offering a deep insight into both theoretical and practical aspects of the subject. The book presents the combined research experiences of 40 expert contributors of world renown.1, Winter 2002, pp. ... Galant, S., (1988), aquot;Connectionist Expert Systems, aquot; Commun, of the ACM, Vol. ... Hattori, K. and Y. Torri, (1993), aquot;Effective Algorithms for the Nearest Neighbor Method in the Clustering Problem, aquot; Pattern Recognition, Vol.
|Title||:||Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques|
|Author||:||Evangelos Triantaphyllou, Giovanni Felici|
|Publisher||:||Springer Science & Business Media - 2006-09-10|