MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES by Peter Flach (Editor), Tijl De Bie (Editor), Nello Cristianini (Editor) ( 9783642334597 )

Item Details

Title:

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
EUROPEAN CONFERENCE, ECML PKDD 2012, BRISTOL, UK, SEPTEMBER 24-28, 2012 : PROCEEDINGS

Volume:

Part I

By:

Peter Flach (Editor), Tijl De Bie (Editor), Nello Cristianini (Editor)

Format:

Paperback

List price:	£85.50
We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10:

3642334598

ISBN 13:

9783642334597

Publisher:

SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG

Pub. date:

14 August, 2012

Edition:

2012 ed.

Series:

Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence 7523

Pages:

879

Description:

Constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012.

Synopsis:

This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions).The papers grouped in topical sections on association rules and frequent patterns; Bayesian learning and graphical models; classification; dimensionality reduction, feature selection and extraction; distance-based methods and kernels; ensemble methods; graph and tree mining; large-scale, distributed and parallel mining and learning; multi-relational mining and learning; multi-task learning; natural language processing; online learning and data streams; privacy and security; rankings and recommendations; reinforcement learning and planning; rule mining and subgroup discovery; semi-supervised and transductive learning; sensor data; sequence and string mining; social network mining; spatial and geographical data mining; statistical methods and evaluation; time series and temporal data mining; and transfer learning.

Illustrations:

241 black & white illustrations, biography

Publication:

Germany

Imprint:

Springer-Verlag Berlin and Heidelberg GmbH & Co. K

Returns:

Returnable

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