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MLDM - International Conference on Machine Learning and Data Mining

16th July 2016   -   21st July 2016
New York City, United States


The aim of the conference is to bring together researchers from all over the world who deal with machine learning and data mining in order to discuss the recent status of the research and to direct further developments. Basic research papers as well as application papers are welcome. All kinds of applications are welcome but special preference will be given to multimedia related applications, biomedical applications, and webmining. Paper submissions should be related but not limited to any of the following topics: -    association rules -    Audio Mining -    case-based reasoning and learning -    classification and interpretation of images, text, video -    conceptional learning and clustering -    Goodness measures and evaluaion (e.g. false discovery rates) -    inductive learning including decision tree and rule induction learning -    knowledge extraction from text, video, signals and images -    mining gene data bases and biological data bases -    mining images, temporal-spatial data, images from remote sensing -    mining structural representations such as log files, text documents and HTML documents -    mining text documents -    organisational learning and evolutional learning -    probabilistic information retrieval -    Selection bias -    Sampling methods -    Selection with small samples -    similarity measures and learning of similarity -    statistical learning and neural net based learning -    video mining -    visualization and data mining

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