Machine Learning and Data Mining in Pattern Recognition

Beschreibung

This book constitutes the refereed proceedings of the 8th International Conference, MLDM 2012, held in Berlin, Germany in July 2012. The 51 revised full papers presented were carefully reviewed and selected from 212 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.
This book constitutes the refereed proceedings of the 8th International Conference, MLDM 2012, held in Berlin, Germany in July 2012. The 51 revised full papers presented were carefully reviewed and selected from 212 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.
Fast conference proceedings State of the art report Up to date results

Autor*in

Petra Perner

Themen in »Machine Learning and Data Mining in Pattern Recognition«

data stream clustering multi-relational classification particle swarm optimization support vector machine transductive learning

Stimmen zu »Machine Learning and Data Mining in Pattern Recognition«

Details

Link teilen