Table of Contents

Classification.- Clustering.- Multidimensional Data Analysis.- Analysis of Complex Data.- Exploratory Data Analysis and Tools for Data Analysis.- Marketing and Management Science.- Banking and Finance.- Business Intelligence.- Text Mining, Web Mining, and the Semantic Web.- Linguistics.- Data Analysis in Humanities.

Reviews

From the reviews: “Data analysis and machine learning are potential research areas at the intersection of computer science (including artificial intelligence) and mathematical sciences (including both mathematics and statistics). This book contains a good collection of papers in these areas, describing their application in areas such as marketing and bioinformatics. … It is surely a must have book for any scientific library and indispensable for the scientific researcher.” (Soubhik Chakraborthy, ACM Computing Reviews, February, 2010)