|
|
|||
|
||||
OverviewData mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these tools, techniques, and concepts against your data asset to identify problems early, understand interactions that exist and highlight previously unrealized relationships through the combination of these different disciplines can provide significant value for the investigator and her organization. Full Product DetailsAuthor: Rob SullivanPublisher: Humana Press Inc. Imprint: Humana Press Inc. Dimensions: Width: 15.50cm , Height: 3.30cm , Length: 23.50cm Weight: 0.991kg ISBN: 9781627039482ISBN 10: 1627039481 Pages: 638 Publication Date: 03 March 2014 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction.- Fundamental Concepts.- Data Architecture and Data Modeling.- Representing Data Mining Results.- The Input Side of the Equation.- Statistical Methods.- Bayesian Statistics.- Machine Learning Techniques.- Classification and Prediction.- Informatics.- Systems Biology.- Let’s Call it a Day.- Appendix A.- Appendix B.- Appendix C. Appendix D.- Index.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
||||