Machine Learning and Knowledge Discovery in Databases : European Conference, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II

Walter Daelemans

ISBN 10: 3540874801 / ISBN 13: 9783540874805

Published by Springer, Springer, 2008

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

Seller Inventory # 9783540874805

Bibliographic Details

• Title: Machine Learning and Knowledge Discovery in Databases : European Conference, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II
• Publisher: Springer, Springer
• Publication Date: 2008
• Language: English
• ISBN 10: 3540874801
• ISBN 13: 9783540874805
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 39D millimeters 235 millimeters width by 155 millimeters height by 39 millimeters depth
• Weight: 1077 grams

About this title

Synopsis

This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.