Download Advanced Data Mining and Applications: First International by David L. Olson, Desheng Wu (auth.), Xue Li, Shuliang Wang, PDF

By David L. Olson, Desheng Wu (auth.), Xue Li, Shuliang Wang, Zhao Yang Dong (eds.)

ISBN-10: 354027894X

ISBN-13: 9783540278948

This booklet constitutes the refereed complaints of the 1st overseas convention on complicated info Mining and functions, ADMA 2005, held in Wuhan, China in July 2005.

The convention used to be considering refined thoughts and instruments that could deal with new fields of information mining, e.g. spatial information mining, biomedical info mining, and mining on high-speed and time-variant information streams; a diffusion of information mining to new functions can also be strived for. The 25 revised complete papers and seventy five revised brief papers offered have been rigorously peer-reviewed and chosen from over six hundred submissions. The papers are equipped in topical sections on organization principles, class, clustering, novel algorithms, textual content mining, multimedia mining, sequential info mining and time sequence mining, net mining, biomedical mining, complicated purposes, safeguard and privateness matters, spatial facts mining, and streaming info mining.

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Extra resources for Advanced Data Mining and Applications: First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005. Proceedings

Example text

Beil, M. Ester, and X. Xu. Frequent term-based text clustering. In ACM Int. Conf. on Knowledge Discovery and Data Mining (SIGKDD’02), Edmonton, Canada, 2002. 5. G. Dong and J. Li. Efficient mining of emerging patterns: Discovering trends and differences. In ACM SIGKDD International Conference on Knowledge Discovery and Data MIning, pages 43–52, San Diego, USA, 1999. R. Za¨ıane 6. M. El-Hajj and O. R. Za¨ıane. Cofi approach for mining frequent itemsets revisited. In 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD-04), pages 70–75, Paris, France, June 2004.

Cofi approach for mining frequent itemsets revisited. In 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD-04), pages 70–75, Paris, France, June 2004. 7. D. Gusfield. Algorithms on Strings, Trees, and sequences: Computer Science and Coputational Biology. Cambridge University Press, 1997. 8. B. Liu, W. Hsu, and Y. Ma. Integrating classification and association rule mining. In 4th Intl. Conf. on Knowledge Discovery and Data Mining (KDD’98), pages 80–86, New York City, NY, August 1998.

R. Za¨ıane. Cofi approach for mining frequent itemsets revisited. In 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD-04), pages 70–75, Paris, France, June 2004. 7. D. Gusfield. Algorithms on Strings, Trees, and sequences: Computer Science and Coputational Biology. Cambridge University Press, 1997. 8. B. Liu, W. Hsu, and Y. Ma. Integrating classification and association rule mining. In 4th Intl. Conf. on Knowledge Discovery and Data Mining (KDD’98), pages 80–86, New York City, NY, August 1998.

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