KDML 2013 - Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML-2013)

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 journals no earlier than 2013.
Topics of interest include but not limited to:
Methods of supervised, semi-supervised and unsupervised 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
Text Mining
Web Mining
Mining for recommendation engines
Visual Analytics
Data Mining in bioinformatics
Data Mining for business applications
Data mining in resource constrained environments
Submission:
We solicit
papers (6-8 pages)
short papers (4 pages): Position papers or Work in Progress
demonstration papers (2 pages): Presentation of a system or a prototype
Submissions are welcome in English and German. They have to follow the conference format and should be submitted as PDF files to EasyChair (https://www.easychair.org/conferences/?conf=lwa201...). Please select the track Knowledge Discovery, Data Mining and Machine Learning-AT-LWA2013. All submissions will be reviewed by at least two independent reviewers.