- APSZ.J. Adibi, tL Patil, W. Shoemaker, and A. M. Zarkesh. Re~-time case-base reasoning system for critical care. Submitted to IJCAI'97.Google Scholar
- AZAW.J. Adibi, A. M. Zarkesh, H. Alker, and T. West. Conflict resolution based on case trajectory. Submitted to J. of World Systems Research.Google Scholar
- CKS+88.P. Cheesman, J. Kelly, M. Self, J. Stutz, W. Taylor, and D. Freeman. Autoelass: a bayesian classification system. In Proceeding of The Fifth Int. Conference on Machine Learning, 1988.Google Scholar
- CT91.T.M. Cover and J. A. Thomas. Elements of Information Theory. New York: John Wiley Sz Sons Inc., 1991. Google ScholarDigital Library
- FPSS96.U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth. Knowledge discovery and data mining toward a unifying framework. In Proceeding of The Second Int. Uonference on Knomledge Discovery and Data Mining, pages 82-88, 1996.Google Scholar
- FPSSU96.U. Fayyad, G. Piatetsky-Shapiro, G. Smyth, and P. Uthunmamy. Advances in Knotoledge diseovery and Data Mining. AAAI/MIT Press, 1996. Google ScholarDigital Library
- FS88.D.H. Fisher and J.C. Scldimmer. Models of Incremental Concept Learning: A coupled research proposal. Vanderbilt Unver~ty Technical Report, I988.Google Scholar
- GB97.G. Gregory and M. M. Brown. World wide web page design: a structured approach. J. of Interlibrary Loan, Document Delivery and Information Supply, 7:45-59, 1997.Google ScholarCross Ref
- Gru93.T. tL Gruber. Toward principles for the design of ontologies used for knowledge sharing. In International Workshop on Formal Ontology, pages 89-95, 1993.Google Scholar
- Har75.J. Harfigan. Ulustering Algorithms. New York: John Wiley & Sons Inc., 19"/5. Google ScholarDigital Library
- Paz93.M. Pazzani. Machine Learning 11, Learning Uausa! Patterns: Making a Transition from data-Driven to Theory-Driven Learning, page 173. KluwerAcademic PublishersAAAI/MIT Press, 1993. Google ScholarDigital Library
- PSBK+96.G. Piatetsky-Shapiro, It. Braachman, T. Khabaza~ W. Kloesgen, and E. Simoudis. An overview of issaes in developing industrial data mining and knowledge discovery applications. In Proceeding of The Second Int. Conference on Knowledge Diseovery and Data Mining, pages 89-95, 1996.Google ScholarDigital Library
- Sah96.M. Sahami. Learning limited dependencies bayesian classification. In The Second Int. Conference on Knowledge Discouery and Data Mining, Portland, Oregon, Aug 1996.Google ScholarDigital Library
- SD90.Jude Shavlik and T. G. Dietterich. Read. ings in Machine Learning. Morgan Kaufinann Publishers, 1990. Google ScholarDigital Library
- Sha48.C.E. Shannon. A mathematical theory of communication. Bell S~ls. Teeh. Journa~ 2?:379-423, 623-656, 1948.Google Scholar
- Shn97.B. Shneiderman. Designing informationabundant web sites: issues and recommendations. Int. J. of Hnraan-Uomputer Studies, 4?:5-29, 1997. Google ScholarDigital Library
- SZAS97.C. Shahabi, A. M. Zarkesh, J. Adibi, and V. Shah. Knowledge discovery from users web-page navigation. In Proceeding of Seventh International Workshop on Research Is. sues in Data Engineering, High Performance Database Management for Large-Scale Applications, pages 20-29. IEEE Comput. Soc. Press, 1997. Google ScholarDigital Library
- WJGMD96.T. W.Yan, M. Jacobsen, H. Garcia-Molina, and U. Dayal. From user access patterns to dynami'e hypertext linking. In Proceedings of the 5 International World-Wide Web Uonference, PaxSs, France, May 1996. Google ScholarDigital Library
- ZASS.A.M. Zarkesh, J. Adibi, R. Sadri, and C. Shahabi. Path mining. In preparation for publication.Google Scholar
Index Terms
- Analysis and design of server informative WWW-sites
Recommendations
Semiparametric likelihood estimation in survival models with informative censoring
Semiparametric proportional hazard regression models are the cornerstone in modern survival analysis. Most estimation methodologies developed in the literature, such as the famous partial likelihood based estimation, are built on the ground that the ...
Regression analysis of clustered interval-censored failure time data with informative cluster size
Correlated or clustered failure time data often occur in medical studies, among other fields (Cai and Prentice, 1995; Kalbfleisch and Prentice, 2002), and sometimes such data arise together with interval censoring (Wang et al., 2006). Furthermore, the ...
Comments