Mathematical Methods for Knowledge Discovery and Data Mining

The field of data mining has seen a demand in recent years for the development of ideas and results in an integrated structure. Mathematical Methods for Knowledge Discovery & Data Mining focuses on the mathematical models and methods that support most data mining applications and solution techniques covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text speech and image recognition; and many others. This Premier Reference Source is an invaluable resource for scholars and practitioners in the fields of biomedicine engineering finance and insurance manufacturing marketing performance measurement and telecommunications