Machine Learning and Data Mining in Pattern Recognition

9th International Conference, MLDM 2013, New York, NY, USA, July 19-25, 2013, Proceedings
2013
ISBN: 978-3-642-39711-0
Verlag: Springer

Buch, Englisch, Band 7988, 660 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1001 g

Reihe: Lecture Notes in Computer Science

This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging 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.

Zielgruppe

Research

Autoren/Hrsg.

Perner, Petra

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik

Inhaltsverzeichnis

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