tailieunhanh - Data Mining and Knowledge Discovery Handbook, 2 Edition part 60

Data Mining and Knowledge Discovery Handbook, 2 Edition part 60. Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be discovered – this is the challenge created by today’s abundance of data. Data Mining and Knowledge Discovery Handbook, 2nd Edition organizes the most current concepts, theories, standards, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery. | 570 Tao Li Sheng Ma and Mitsunori Ogihara R. F Cromp and W. J. Campbell. Data Mining of multidimensional remotely sensed images. In Proc. 2nd International Conference of Information and Knowledge Management pages 471-480 1993. I. Daubechies. Ten Lectures on Wavelets. Capital City Press Montpelier Vermont 1992. D. L. Donoho and I. M. Johnstone. Minimax estimation via wavelet shrinkage. Annals of Statistics 26 3 879-921 1998. G. C. Feng P C. Yuen and D. Q. Dai. Human face recognition using PCA on wavelet subband. SPIE Journal of Electronic Imaging 9 2 226-233 2000. P Flandrin. Wavelet analysis and synthesis of fractional Brownian motion. IEEE Transactions on Information Theory 38 2 910-917 1992. M. Garofalakis and P. B. Gibbons. Wavelet synopses with erro guarantee. In Proceedings of 2002 ACM SIGMOD pages 476-487 2002. M. W. Garrett and W. Willinger. Analysis modeling and generation of self-similar VBR video traffic. In Proceedings ofSIGCOM pages 269-279 1994. A. C. Gilbert Y. Kotidis S. Muthukrishnan and M. Strauss. Surfing wavelets on streams One-pass summaries for approximate aggregate queries. In The VLDB Journal pages 79-88 2001. C. E. Jacobs A. Finkelstein and D. H. Salesin. Fast multiresolution image querying. Computer Graphics 29 277-286 1995. J. M. Wang and B. Iyer. Data cube approximation and histograms via wavelets. In Proc. of the 7th Intl. Conf. On Infomration and Knowledge Management pages 96-104 1998. H. Kargupta B. Park D. Hershbereger and E. Johnson. Collective Data Mining A new perspective toward distributed data mining. In Advances in Distributed Data Mining pages 133-184. 2000. Q. Li T. Li and S. Zhu. Improving medical biological data classification performance by wavelet pre-processing. In ICDM pages 657-660 2002. T. Li Q. Li S. Zhu and M. Ogihara. A survey on wavelet applications in Data Mining. SIGKDD Explorations 4 2 49-68 2003. T. Li M. Ogihara and Q. Li. A comparative study on content-based music genre classification. In Proceedings