2005, ISBN: 9783540283157

9C: Springer. New. 2005. Hardcover. 3540283153 . This book contains an in-depth analysis of the foundational issues and recently developed novel approaches in data mining research. The p… More...

9C: Springer. New. 2005. Hardcover. 3540283153 . This book contains an in-depth analysis of the foundational issues and recently developed novel approaches in data mining research. The papers in this volume range from the most fundamental issues of date mining, such as causal modeling, logical definability, and statistical foundations, to extremely novel applications like web mining and bio-informatics. A wide variety of computational intelligence techniques are employed, including predicate logic, fuzzy set theory, rough set theory, statistics, principal component analysis, support vector machines, and machine learning. This volume will prove very valuable and fruitful for data mining researchers, no matter whether they would like to uncover the fundamental principles behind date mining, or apply the theories to practical applications. This copy is in new condition with a hardcover having sharp edges and corners. The binding is tight and the pages are clean, crisp, unmarked and uncreased. This is a remarkable book and is in new condition. ; Studies in Computational Intelligence, Volume 9 Series; 0.8 x 9.4 x 6.2 Inches; 376 pages ., Springer, 2005, 6<

ISBN: 9783540283157

Data-mining has become a popular research topic in recent years for the treatment of the data rich and information poor syndrome. Currently, application oriented engineers are only concer… More...

Data-mining has become a popular research topic in recent years for the treatment of the data rich and information poor syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the practical issues of data-mining for real-world problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research. A set of well respected data mining theoreticians were invited to present their views on the fundamental science of data mining. We have also called on researchers with practical data mining experiences to present new important data-mining topics. Books, Science and Nature, Foundations and Novel Approaches in Data Mining Books>Science and Nature, Springer Berlin Heidelberg<

ISBN: 9783540283157

Engineering; Mathematical and Computational Engineering; Artificial Intelligence (incl. Robotics) Statistica, classification, data mining, databases, fuzzy, knowledge discovery, modeling,… More...

Engineering; Mathematical and Computational Engineering; Artificial Intelligence (incl. Robotics) Statistica, classification, data mining, databases, fuzzy, knowledge discovery, modeling, problem solving Books, Springer Nature<

2005, ISBN: 9783540283157

Buch, Hardcover, 2006, [PU: Springer Berlin], Springer Berlin, 2005

2005, ISBN: 9783540283157

2006, Hardcover, Buch, [PU: Springer Berlin]