Data Mining: Foundations and Intelligent Paradigms Volume 3: Medical, Health, Social, Biological and other Applications /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Holmes, Dawn E. (Editor), Jain, Lakhmi C. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
• Series: Intelligent Systems Reference Library, 25
• Subjects: Engineering.; Operations research.; Decision making.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Operation Research/Decision Theory.

Data mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 3 of this three volume series, we have brought together contributions from some of the most prestigious researchers in applied data mining. Areas of application covered are diverse and include...

Table of Contents:

• From the content: Advances in Data Mining Applications
• Temporal Pattern Mining for Medical Applications
• BioKeySpotter: an Unsupervised Keyphrase Extraction Technique in the Biomedical Full-text Collection
• Mining Health Claims data for assessing patient risk
• Mining biological networks for similar patterns
• Estimation of Distribution Algorithms in Gene Expression Data Analysis.