**H. Altay Güvenir**(14:40) SlidesR. Agrawal, T. Imielinski, and Swami, "Mining Association Rules between Sets of Items in Large Databases"

*Proc. of the ACM-SIGMOD 1993 Int'l Conference on Management of Data*, Washington D.C., pp. 207-216, (May 1993). (Postscript copy)R. Agrawal, and R. Srikant, "Fast Algorithms for Mining Association Rules"

*Proc. of the 20th Int'l Conference on Very Large Databases*, Santiago, Chile, (Sept. 1994). (Postscript copy)

**Ferhat Kutlu**(12:40)D. Boley, "Principal Direction Divisive Partitioning"

*Data Mining and Knowledge Discovery*, Vol. 2, No. 4, pp. 325-344, (1998). (Postscript copy)

**Umut Topkara**(15:40)G. Karypis, E. H. (Sam) Han, and V. Kumar, "Chameleon: Hierarchical Clustering Using Dynamic Modeling"

*Computer*, pp. 68-75, (Aug. 1999). (Postscript copy)**Ufuk İlhan**(16:40)J. Fürnkranz, T. Mitchell, and E. Rilof, "A Case Study in Using Linguistic Phrases for Text Categorization on the WWW"

*Working Notes of the 1998 AAA/ICML Workshop on Learning for Text Categorization*, (Postscript copy)

**Göker Canıtezer**(12:40)H. Mannila, H. Toivonen, and A. I. Verkamo, "Discovery of Frequent Episodes in Event Sequences"

*Data Mining and Knowledge Discovery*, Vol. 1, pp. 259-289, (1997).

**İlker Yoncacı**(15:40)H. Maeda, K. Koujitani, and T. Nishida, "Constructing Information Bases Using Associative Structures"

*Applied Intelligence*, Vol. 10, pp. 85-99. (1999). (Postscript copy)**Alpay Erdem**(16:40)R. Agrawal, S. Ghosh, T. Imielinski, B. Iyer, and A. Swami, "An Interval Classifier for Database Mining Applications"

*Proceedings of the 18th VLDB Conference*, Vancouver, British Columbia, Canada, pp. 560-573, (1992). (Postscript copy)

**S. Alireza Aghili**(12:40)Z. Huang, "Extensions to the

*k*-Means Algorithm for Clustering Large Data Sets with Categorical Values"*Data Mining and Knowledge Discovery*, Vol. 2, pp. 283-304, (1998).

**Ediz Şaykol**(15:40)R. Agrawal, T. Imielinski, and A. Swami, "Database Mining: A Performance Perspective"

*IEEE Transactions on Knowledge and Data Engineering*, Vol. 5, No. 6, pp. 914-925, (1993). (Postscript copy)**Levent Cantürk**(16:40)S. C. Yoon, I. Y. Song, and E. K. Park, "Intensional Query Processing using Data Mining Approaches",

*CIKM*, pp. 201-208, (1997). (PDF copy)

**M. Mustafa Özdal**(13:40)S. Guha, R. Rastogi, and K. Shim, "ROCK: a robust clustering algorithm for categorical attributes"

*Proc. of the 15th Int'l Conf. on Data Eng*, (1999). (Postscript copy)

**Erdoğan Bıkmaz**(13:40)H. Mannila, H. Toivonen, and A. I. Verkamo, "Efficient Algorithms for Discovering Association Rules"

*Proceedings of the AAAI Workshop on Knowledge Discovery in Databases*, Usama M. Fayyad and Ramasamy Uthurusamy (Eds.), Washington, pp. 181-192, (July 1994). (Postscript copy)

**Türker Yılmaz**(15:40)A. A. Freitas, "On Rule Interestingness Measures"

*Knowledge Based Systems*, Vol. 12, pp. 309-315, (1999). (PDF copy)**Alper Tugay Mızrak**(16:40)M. Perkowitz, and O. Etzioni, "Adaptive Web Sites: Automatically Synthesizing Web Pages"

*Fifteenth National Conference on Artificial Intelligence*(AAAI'98), Wisconsin, (1998). (Postscript copy)

**Gültekin Arabacı**(13:40)R. Srikant, and R. Agrawal, "Mining Quantitative Association Rules in Large Relational Tables",

*Proc. of the ACM-SIGMOD 1996 Conference on Management of Data*, Montreal, Canada, (June 1996). (Postscript copy)

**Sezgin Abalı**(12:40)S. Brin, R. Rastogi, and K. Shim, "Mining Optimized Gain Rules for Numeric Attributes"

*Proceedings of KDD'99*, San Diago, ACM, pp. 135-144, (1999). (PDF copy)

**Mevlut Erdem Kurul**(15:40)D. Hershberger, and H. Kargupta, "Distributed Multivariate Regression Using Wavelet-based Collective Data Mining", Special Issue on Parallel and Distributed Data Mining of the

*Journal of Parallel Distributed Computing*, Vipin Kumar, Sanjay Ranka, and Vineet Singh (Guest Eds.) (1999) (Postscript copy)**Eray Tüzün**(16:40)S. M. Weiss, and N. Indurkhya, "Rule-based Machine Learning Methods for Functional Prediction"

*JAIR*, Vol. 3, pp. 383-403, (1995). (Postscript copy)

**Özgür Öztürk**(13:40)B. Liu, W. Hsu, Y. Ma, "Integrating Classification and Association Rule Mining" in:

*Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining*(KDD-98, Plenary Presentation), New York, (1998) (Postscript copy)

**CS558 will not meet today. Presentation of Selma Ayşe Özel has moved to April 4, 2000 (Irregular Hour)**

**Bülent Özel**(15:40)T. zhang, R. Ramakrishnan, and M. Livney, "BIRCH: An Efficient Data Clustering Method for Very Large Databases"

*Data Mining and Knowladge Discovery*, Vol. 1, pp. 141-182, (1997). (PDF copy)**Mahmut Özcan**(16:40)Z. Fu, "Dimensionality Optimization by Heuristic Greedy Learning vs. Genetic Algorithms in Knowledge Discovery and Data Mining"

*Intelligent Data Analysis*, Vol. 3, pp. 211-225, (1999), (PDF copy)

**Selma Ayşe Özel**(13:40)J. D. Holt, and S. M. Chung, "Efficient Mining of Association RUles in Text Databases"

*CIKM'99*, Kansas City, USA, pp. 234-242, (1999). (PDF copy)

**Esra Satıroğlu**(12:40)O. R. Zaiane, M. Xin, and J. Han, "Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs" (1998). (Postscript copy)

**Çağdaş Aydın**(15:40)K. A. Kaufman, and R. S. Michalski, "Discovery Planning: Multistrategy Learning in Data Mining" (Postscript copy)

R. S. Michalski, and K. A. Kaufman, "Data Mining and Knowledge Discovery: A Review of Issues and a Multistrategy Approach", (March 1997). George Mason University, Technical Report No: P97-3, MLI 97-2, (Postscript copy)

**Hakan Kurt**(16:40)S. Arya, D. M. Mount, N. S. Netenyahu, R. Silverman, and A. Y. Wu, "An Optimal Algorithm for Approximate Nearest Neighbor Searching in Fixed Dimensions"

*Journal of the ACM*, Vol. 45, pp. 891-923, (1998). (Postscript copy)

**Engin Demir**(12:40)N. F. Ayan, A. U. Tansel, and Erol Arkun, "An Efficient Algorithm to Update Large Itemsets with Early Pruning"

*ACM SIGKDD Intl. Conf. on Knowledge Discovery in Data and Data Mining (SIGKDD'99)*, San Diego, California, (August 1999). (Compresed Postscript copy)N. F. Ayan, "Updating Large Itemsets With Early Pruning" M.Sc Thesis, Bilkent University, (1999) (Compresed Postscript copy)

**Mariye Umay Mirzaoğlu**(15:40)M. Klemettinen, H. Mannila, P. Ronkainen, H. Toivonen, and A. I. Verkamo, "Finding Interesting Rules from Large Sets of Discovered Association Rules"

*Third International Conference on Information and Knowledge Management*, N. R. Adam, B. K. Bhargava and Y. Yesha (Eds.), Maryland, ACM Press, pp. 401-407, (Nov. 1994). (Postscript copy)**Umut Arslan**(16:40)R. J. Bayardo, and R. Agrawal, "Mining the Most Interesting Rules"

*Proc. of the 5th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining*pp. 145-154, (Aug. 1999) (Postscript copy)

**Esin Konakçı**(**EA-331 13:40**)Oracle Darwin Data Mining Software

**Özlem İstek**(12:40)R. Agrawal, R. Srikant, "Mining Generalized Association Rules",

*Proceedings of the 21st VLDB Conference*, Zurich, Switzerland, (1995). (Postscript copy)

**Hayrettin Bahşi** (15:40)
**Fatih Erol**(16:40)C. Ordonez, and E. Omiecinski, "Discovering Association Rules Based on Image Content"

*IEEE Advances in Digital Libraries (ADL'99)*, (1999) (Postscript copy)C. Ordonez, and E. Omiecinski, "Image Mining: A New Approach for Data Mining" Technical Report GIT-CC-98-12, Georgia Institute of Technology, College of Computing, (1998). (Postscript copy)

R. D. Lawrence, G. S. Almasi, and H. E. Rushmeier,
"A Scalable Parallel Algorithm for Self-Organizing Maps with
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*Data Mining and Knoeledge Discovery*, Vol. 3, pp. 171-195, (1999).

**Baris Eker**(12:40) M. Grobelnik, and D. Mladenic, "Efficient Text Categorization"*Text Mining Workshop on ECML-98*, (1998). (Postscript copy)

**İ. Sengör Altıngövde**(15:40)C. Silverstein, S. Brin, and R. Motwani, "Beyond Market Baskets: Generalizing Association Rules to Dependence Rules" (Postscript copy)

**Emre Kamar**(16:40)S. Maneewongvatana and D. M. Mount, It's okay to be skinny, if your friends are fat,''

*Proceedings of the 4th Annual CGC Workshop on Comptutational Geometry*, (1999). (Postscript copy)T. Kanungu, D. M. Mount, N. Netanyahu, C. Piatko, R. Silverman, and A. Y. Wu, ``Computing nearest neighbors for moving points and applications to clustering''

*Proceedings of the 10th Ann. ACM-SIAM Symposium on Discrete Algorithms*, pp. S931-S932, (1999). (Postscript copy)

**Embiya Karapınar**(12:40)U. Fayyad, D. Haussler, and P. Stolorz, "KDD for Science Data Analysis: Issues and Examples"

*Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96)*, Oregon, AAAI Press., (August, 1996) (Postscript copy)

**B. Barla Cambazoğlu**(15:40)B. Mobasher, N. Jain, E.-H. Han, and J. Srivastava, "Web Mining: Pattern Discovery from World Wide Web Transactions" Department of Computer Science, University of Minnesota, Technical Report TR96-050, (March, 1996). (Postscript copy)

**Eray Özkural**(16:40)S. Djoko, D. J. Cook, and L. B. Holder, "An Empirical Study of Domain Knowledge and Its Benefits to Substructure Discovery"

*IEEE Transactions of Knowledge and Data Engineering*, (1999). (Postscript copy)

**Atacan Çonduroğlu**(12:40)J. Han, Y. Fu, "Mining Multiple-Level Association Rules in Large Databases"

*IEEE Transactions on Knowledge and Data Engineering*, Vol. 11, No. 5, (1999). (PDF copy)

**Bora Uçar**(13:40)A. Savasere, E. Omiecincki, and S. Navathe, "An Efficient Algorithm for Mining Association Rules in Large Databases" Technical Report GIT-CC-95-04, Georgia Institute of Technology, College of Computing, (1995). (Postscript copy)

**İlker Cengiz**(14:40)K. Alsabti, S. Ranka and V. Singh, "An Efficient K-Means Clustering Algorithm"

*IPPS/SPDP Workshop on High Performance Data Mining*(Postscript copy)

**Esma Turna**(12:40)Y.-W. Huang, N. Jing, E. A. Rudensteiner, "Effective Graph Clustering for Path Queries in Digital Map Databases"

*CIKM*, pp. 215-222, (1996). (Postscript copy)