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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: (10th : MLDM (Conference) (10th : 2014 : Saint Petersburg, Russia)Contributor(s): Perner, Petra [editor.]Material type: TextTextSeries: Serienbezeichnung | 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 resourceISBN: 9783319089799; 331908979XOther title: MLDM 2014Subject(s): Pattern perception -- Congresses | Machine learning -- Congresses | Data mining -- Congresses | Computer vision -- Congresses | Computer vision | Data mining | Machine learning | Pattern perceptionGenre/Form: Electronic books. | Electronic books. | Conference papers and proceedings. Additional physical formats: Printed edition:: No titleDDC classification: 006.4 LOC classification: Q327Online resources: Click here to access online
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.
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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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