Adibi, J., Shen, W., Noorbakhsh, E., "Phase Shift and Change Point detection by Fractal Dimensions",submitted to 19th International Conference on Data Engineering (ICDE-2003) Sponsored by the IEEE Computer Society March 5 - March 8, 2003. Adibi, Shen, W. "An Approach to Generalized Pattern Identification Based on Prototype Instances" In preparation. Adibi, J., Shen, W., Noorbakhsh, E., "Using Fractal Dimension to Measure Teamwork", In preparation·[Draft] Adibi, J., Shen, W., Noorbakhsh, E., "Reducing Search Space in Time Series Similarity Search exploiting Fractal Dimensions",In preparation· J. Adibi, W.M. Shen, “ Advance Application of Fratal Dimension and Self-SImilarities in Data Mining" Invited talk in First Workshop on Fractals and Self-similarity in Data Mining: Issues and Approaches, in conjunction with 8th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining July 23 - 26, 2002, Edmonton, Alberta, Canada.[PowerPoint-PDF] J. Adibi, W.M. Shen, “General Structure of Mining Through layered Phases”,In preparation.[Draft-PDF] J. Adibi, W.M. Shen , “Fractal Dimension and Self-Similarity in Data Mining :Current Techniques and Future Challenges” . In preparation Adibi, J., Shen, W., Noorbakhsh, E., "Self-Similar Hidden Markov Model for Predictive Modeling of Network Data", SIPE DM: Data Mining and Knowledge Discovery: Theory, Tools, and Technology Intelligent Data Analysis, Florida 2002.[PDF] Adibi, J., Shen, W., Noorbakhsh, E., "Self-Similarity for Data Mining and Predictive Modeling, A Case Study for Network Data", The Sixth Pacific Area Conference on Knowledge Discovery and Data Mining (PAKDD-2002), May 6-8, Taipei, Taiwan.[PDF] J. Adibi, W.M. Shen, “Self similar Layered Hidden Markov Model”, 12th European Conference on Machine Learning (ECML'01) and 5th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD'01, September 3-7, 2001, Freiburg, Germany.[PDF] J. Adibi, W.M. Shen, “Self-Similar Sequential Association Rules: Interesting Rules in Critical Care Database”, Mining Scientific Database in KDD-2001, The Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining August 26 - 29, 2001 San Francisco, California, USA .[PDF] J. Adibi, and W. M. Shen“Knowledge Discovery in e-health”, TEPR-2000, San Francisco, May 2000. A. Famili, WM. Shen, R. Weber, and E. Simoudis. Data Preprocess for Intelligent Data Anaysis. International Journal of Intelligent Data Analysis, 1(1), 1997. W.M. Shen and B. Leng, A Metapattern-Based Automated Discovery Loop for Integrated Data Mining , IEEE Transactions on Data and Knowledge Engineering, 8(6)898-910. 1996 , Get PDF. W.M. Shen and B. Leng, Metapattern Generation for Integrated Data Mining, The 2nd International Conference on KDD, Portland, Oregan, 1996. Get Postscript. Kero, B, L. Russell, S. Tsur and W.M. Shen, An Overview of Data Mining Technologies, The KDD Workshop in the 4th International Conference on Deductive and Object-Oriented Databases, Singapore, 1995., Get Postscript. Leng, B. and W.M. Shen, A Metapattern-Based Automated Discovery Loop, The KDD Workshop in the 4th International Conference on Deductive and Object-Oriented Databases, Singapore, 1995., Get Postscript. Shen, W.M., B. Leng, and A. Chatterjee, Applying the Metaquery Framework to Time Sequence Analysis, Technical Report, USC-ISI-95-117, 1995., Get Postscript. Shen, W.M., K. Ong, B. Mitbander, C. Zaniolo, Metaqueries for Data Mining, Advances in Knowledge Discovery and Data Mining, edited by Fayyad U., G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, MIT Press, 1995. Get Postscript.