forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning. All published papers are freely available online
The workshop aims to discuss key issues and practices of semantic mining. Thanks to the initiatives of the Linked Open Data and robust techniques for semantic annotation of Web, social, and sensor data, more semantic data is available. Many research efforts have been directed toward demonstrating semantic techniques to analyze and mine this growing resource. The workshop will provide a cross-disciplinary forum for researchers to showcase their innovation and efforts, and to further enhance existing bounds and create new connections among different communities. Here we solicit contributions on researches and practices of mining data semantics including theory, algorithms, and applications from computer science, life science, healthcare and other domains.
C. Voigtmann. University of Kassel, (2008)In his Bachelor's Thesis, Christian integrated two classifiers based on Evolutionary Algorithms into the Weka Data Mining Framework..
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V. Sheng, F. Provost, и P. Ipeirotis. KDD '08: Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, стр. 614--622. New York, NY, USA, ACM, (2008)isbn = 978-1-60558-193-4,
location = Las Vegas, Nevada, USA,
doi = http://doi.acm.org/10.1145/1401890.1401965,.
G. Stumme. Database and Expert Systems Applications. Proc. DEXA 2002, том 2453 из LNCS, стр. 534-546. Heidelberg, Springer, (2002)Invited Talk, summary of stumme02computing and pasquierinpressgenerating.
C. Garboni, и F. Masseglia. Proc. of the 6th International Workshop on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2004, Timisoara, Romania, (26-30 September 2004)