Advances in Data Mining. Applications and Theoretical by Rainer Schmidt, Heike Weiss, Georg Fuellen (auth.), Petra PDF

By Rainer Schmidt, Heike Weiss, Georg Fuellen (auth.), Petra Perner (eds.)

ISBN-10: 3642314872

ISBN-13: 9783642314872

ISBN-10: 3642314880

ISBN-13: 9783642314889

This publication constitutes the refereed lawsuits of the twelfth business convention on information Mining, ICDM 2012, held in Berlin, Germany in July 2012. The 22 revised complete papers awarded have been rigorously reviewed and chosen from ninety seven submissions. The papers are equipped in topical sections on info mining in drugs and biology; info mining for power undefined; info mining in site visitors and logistic; information mining in telecommunication; info mining in engineering; concept in information mining; idea in info mining: clustering; conception in information mining: organization rule mining and selection rule mining.

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Extra info for Advances in Data Mining. Applications and Theoretical Aspects: 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 13-20, 2012. Proceedings

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Artificial Intelligence in Medicine 36(2), 121–125 (2006) 4. : Advances in case-based reasoning in the health sciences. Artificial Intelligence in Medicine 51(2), 75–79 (2011) 5. : Introduction to the special issue on case-based reasoning in the health sciences. Computational Intelligence 22(3–4), 143–147 (2006) 6. : Introduction to the special issue on case-based reasoning in the health sciences. Computational Intelligence 25(3), 161–164 (2009) 7. : Special issue on case-based reasoning in the health sciences.

Although we do not expect very interesting results from this additional study, since these authors report that they could not identify a cluster for the CBR-HS domain, it is possible that some sub-clusters could overlap with the 22 I. Bichindaritz ones we found with a semi-automatic indexing of the papers, as presented in this document. These automatically found clusters may also suggest some indexing terms and concepts we may have overlooked in the current study. , the overlap with the number of citations is expected to be very important [8].

I. Nagy and K. Buza Additionally, we used publicly-available real-world datasets: we used some of the most popular datasets from the UCI machine learning repository [8]. In particular, these datasets were: Adult, Breast Cancer Wisconsin (Diagnostic), Car Evaluation, Forest Fires [6] and Poker Hand. As the datsets in the UCI repository do not contain tick data, in order to be able to perform reasonable experiments, as preprocessing, we removed the id values from the UCI datasets (if present) and sorted the records of the UCI datasets in lexicographical order.

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Advances in Data Mining. Applications and Theoretical Aspects: 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 13-20, 2012. Proceedings by Rainer Schmidt, Heike Weiss, Georg Fuellen (auth.), Petra Perner (eds.)


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