We invite submissions on all aspects of data mining, knowledge discovery and machine learning. Beside new work, we also invite preliminary results and resubmissions of articles published or disseminated at international conferences or jounarls no earlier than 2012.

To improve networking of scientists, users and the GI Special Interest Groups FG-ABIS, FG-IR and FG-WM, the KDML will feature a joint poster and demo session.

Broad areas of interest include, but are not limited to:

* Methods of supervised, semi-supervised and un-supervised learning
* Distributed data mining and ubiquitous knowledge discovery
* Data stream mining
* Temporal, Spatial & Spatiotemporal Data Mining
* Multiobjective learning
* Rule based learning
* Network and graph mining
* Probabilistic models
* Text mining
* Web mining
* Recommender systems
* Visual analytics
* Data mining in resource constrained environments
* Data mining in bioinformatics
* Data mining in business informatics