Machine Learning and Knowledge Discovery in Databases

This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.

Dynamic networks and knowledge discovery. - Interactions between data mining and natural language processing. - Mining ubiquitous and social environments. - Statistically sound data mining. - Machine learning for urban sensor data. - Multi-target prediction. - Representation learning. - Neural connectomics: from imaging to connectivity. - Data analytics for renewable energy integration. - Linked data for knowledge discovery. - New frontiers in mining complex patterns. - Experimental economics and machine learning. - Learning with multiple views: applications to computer vision and multimedia mining. - Generalization and reuse of machine learning models over multiple contexts. - Predictive web analytics.