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Machine learning and data mining in pattern recognition : 10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014. Proceedings / Petra Perner (ed.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science. Lecture notes in artificial intelligence ; ; 8556. | LNCS sublibrary. SL 7, Artificial intelligence.Publisher: Cham : Springer, 2014Description: 1 online resource (xiv, 536 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319089799
  • 331908979X
Other title:
  • MLDM 2014
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 006.4 23
LOC classification:
  • Q327
Online resources:
Contents:
Theoretical topics for classification -- Clustering -- Association rule.- Pattern mining.-Specific data mining methods for the different multimedia data types.-Image mining -- Text mining -- Video mining.- Web mining.
In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed and selected from 128 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook LNCS Available
Total holds: 0

International conference proceedings.

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed July 30, 2014).

This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed and selected from 128 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

Theoretical topics for classification -- Clustering -- Association rule.- Pattern mining.-Specific data mining methods for the different multimedia data types.-Image mining -- Text mining -- Video mining.- Web mining.

English.

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