Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 11th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2015, held in Hamburg, Germany in July 2015. The 41 full papers presented were carefully reviewed and selected from 123 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.

Up-to-date results Fast track conference proceedings State-of-the-art report Includes supplementary material: sn.pub/extras

Inhalt
Graph Mining.- Classification and regression.- Sentiment analysis.- Data preparation and missing values.- Association and sequential rule mining.- Support vector machines.- Frequent item set mining and time series analysis.- Clustering.- Text mining.- Applications data mining.