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This volume contains papers which presented at the 6th International Conference on Data Mining and Knowledge Discovery (DMKD2011), which took place on 10-11 September 2011 at University of Notre Dame, IN, USA. The workshop was jointly organized by University of Notre Dame, University of Maryland and University of Michigan, and hosted by the Mathematical and Computer Modeling Group (M/CMG) at University of Notre Dame, and the Department of Statistics at the University of Michigan. The DMKD2011 was sponsored by the National Science Foundation, the Office of Naval Research, the National Security Science and Engineering Faculty Fellowship (NFSEFF), the Office of Advanced Research Computing (OARC) at the University of Notre Dame, the National Security Agency (NSA), the Office of Naval Research (ONR), the City of South Bend, Indiana, the ND Computational Information Technology and Mathematics Software Center, the ND Biomedical Engineering Innovation Institute, the ND Machine Learning Center, the ND High Performance Computing Center, the ND Institute for Computational Discovery and Engineering, the ND Institute for Integrative Genome Biology, the ND Department of Statistics, the ND Department of Computer Science, and the ND Department of Mathematics. In addition to providing a scientific platform for sharing and discussing the latest developments in data mining and knowledge discovery, DMKD2011 focused on the following topics: Knowledge Discovery in Databases (KDD), Knowledge Discovery in Biomedical Informatics (KDBiM), Knowledge Discovery in Text Mining (KDTM), Data Mining (KDD), Pattern Recognition, Decision Support and Learning Theory, Machine Learning: Algorithms and Applications, and Machine Learning: New Paradigms. In total, the DMKD2011 drew over 600 participants from the world's leading computer science, statistics, data mining, and computer vision communities.
The expected course outcome is the ability to understand these topics and to be able to assess and understand other programming languages on a superficial level. The intent of this course is to enable the student to think like a programmer, to be able to understand how the underlying concepts of programming languages work. 827ec27edc