Optimization Based Data Mining: Theory and Applications.pdf

Optimization Based Data Mining: Theory and Applications

Gang Kou

Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations. Since optimization based data mining methods differ from statistics, decision tree induction, and neural networks, their theoretical inspiration has attracted many researchers who are interested in algorithm development of data mining.

Optimization based Data Mining: Theory and Applications , mainly focuses on MCP and SVM especially their recent theoretical progress and real-life applications in various fields. These include finance, web services, bio-informatics and petroleum engineering, which has triggered the interest of practitioners who look for new methods to improve the results of data mining for knowledge discovery.

Most of the material in this book is directly from the research and application activities that the authors research group has conducted over the last ten years. Aimed at practitioners and graduates who have a fundamental knowledge in data mining, it demonstrates the basic concepts and foundations on how to use optimization techniques to deal with data mining problems.

Comprehensive List of the Best Data Mining (also known as Data Modeling or Data Analysis) Software and Applications:. Data mining serves the primary purpose of discovering patterns among large volumes of data and transforming data into more refined/actionable information. Decision tree learning - Wikipedia

5.85 MB DATEIGRÖSSE
144712653X ISBN
Englisch SPRACHE
Optimization Based Data Mining: Theory and Applications.pdf

Technik

PC und Mac

Lesen Sie das eBook direkt nach dem Herunterladen über "Jetzt lesen" im Browser, oder mit der kostenlosen Lesesoftware Adobe Digital Editions.

iOS & Android

Für Tablets und Smartphones: Unsere Gratis tolino Lese-App

Andere eBook Reader

Laden Sie das eBook direkt auf dem Reader im Hugendubel.de-Shop herunter oder übertragen Sie es mit der kostenlosen Software Sony READER FOR PC/Mac oder Adobe Digital Editions.

Reader

Öffnen Sie das eBook nach der automatischen Synchronisation auf dem Reader oder übertragen Sie es manuell auf Ihr tolino Gerät mit der kostenlosen Software Adobe Digital Editions.

Aktuelle Bewertungen

avatar
Sofia Voigt

The application of optimization and data mining in databases in geosciences is ... optimization techniques for knowledge discovery in data. ... V. N. Vapnik, The Nature of Statistical Learning Theory, Springer-Verlag, New York, USA, 1995. 11. The field of data mining increasingly adapts methods and algorithms from ... from the well-established knowledge in linear algebra, graph theory, and optimization ... Choice Sets in Discrete Choice Models: Application to Data-Driven Test Desi

avatar
Matteo Müller

Optimization-based Data Mining Techniques with Applications optimization techniques to handle data mining problems. This workshop intends to promote the research interests in the connection of optimization and data mining as well as real-life applications among the growing data mining communities. All of seven papers accepted by the workshop reflect the findings of the researchers in the above

avatar
Noel Schulze

Mathematical optimization (alternatively spelt optimisation) or mathematical programming is the selection of a best element (with regard to some criterion) from some set of available alternatives. Optimization problems of sorts arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has … Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) ...

avatar
Jason Lehmann

The application of optimization and data mining in databases in geosciences is ... optimization techniques for knowledge discovery in data. ... V. N. Vapnik, The Nature of Statistical Learning Theory, Springer-Verlag, New York, USA, 1995. 11.

avatar
Jessica Kohmann

Decision tree learning is a method commonly used in data mining. The goal is to create a model that predicts the value of a target variable based on several input variables. A decision tree is a simple representation for classifying examples.