Data Mining and Knowledge Discovery in Databases


Data Mining and Knowledge Discovery in Databases
Spatial and Multi-Media Databases
Deductive and Object-Oriented Databases
MSc. and Ph.D. Theses Related to Data Mining and Database Systems
Conference or Workshop Presentation Slides

2003

         C. Aggarwal, J. Han, J. Wang, P. S. Yu, “A Framework for Clustering Evolving Data Streams”,  Proc.  2003 Int. Conf. on Very Large Data Bases (VLDB'03), Berlin, Germany, Sept. 2003.

         D. Xin, J. Han, X. Li, B. W. Wah, “Star-Cubing: Computing Iceberg Cubes by Top-Down and Bottom-Up Integration”, Proc.  2003 Int. Conf. on Very Large Data Bases (VLDB'03), Berlin, Germany, Sept. 2003.

         X. Yan and J. Han, “CloseGraph: Mining Closed Frequent Graph Patterns”, Proc. 2003 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'03), Washington, D.C., Aug. 2003..

         H. Yu, J. Yang, and J. Han, “Classifying Large Data Sets Using SVM with Hierarchical Clusters”, Proc. 2003 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'03), Washington, D.C., Aug. 2003.  

         J. Wang, J. Han, and J. Pei, “CLOSET+: Searching for the Best Strategies for Mining Frequent Closed Itemsets”, Proc. 2003 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'03), Washington, D.C., Aug. 2003.

         H. Wang, W. Fan, P. S. Yu, and J. Han, “Mining Concept-Drifting Data Streams using Ensemble Classifiers”, Proc. 2003 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'03), Washington, D.C., Aug. 2003. 

         C. Giannella, J. Han, J. Pei, X. Yan and P.S. Yu, “Mining Frequent Patterns in Data Streams at Multiple Time Granularities”, H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha (eds.), Next Generation Data Mining, 2003.

         X. Yin and J. Han, “CPAR: Classification based on Predictive Association Rules”, Proc. 2003 SIAM Int.Conf. on Data Mining (SDM'03), San Fransisco, CA, May 2003.

         X. Yan, J. Han, and R. Afshar, “CloSpan: Mining Closed Sequential Patterns in Large Datasets”, Proc. 2003 SIAM Int.Conf. on Data Mining (SDM'03), San Fransisco, CA, May 2003.

         K. Wang, Y. He, and J. Han, "Pushing Support Constraints Into Association Rules Mining", IEEE Transactions on Knowledge and Data Engineering, Vol. 15, No. 3, May/June 2003.

         K. Wang, Y. Jiang, J. X. Yu, G. Dong, and J. Han, "Pushing Aggregate Constraints by Divide-and-Approximate", The IEEE International Conference on Data Engineering, 2003, Bangalore, India, Slides

2002

         J. Han, J. Wang, Y. Lu, and P. Tzvetkov, “Mining Top-K Frequent Closed Patterns without Minimum Support”, Proc. 2002 Int. Conf. on Data Mining (ICDM'02), Maebashi, Japan, Dec. 2002.

         J. Pei, G. Dong, W. Zou, and J. Han, “On Computing Condensed Frequent Pattern Bases”, Proc. 2002 Int. Conf. on Data Mining (ICDM'02), Maebashi, Japan, Dec. 2002.

         X. Yan and J. Han, “gSpan: Graph-Based Substructure Pattern Mining”, Proc. 2002 Int. Conf. on Data Mining (ICDM'02), Maebashi, Japan, Dec. 2002.

          H. Yu, K. C. C. Chang, and J. Han, “Heterogeneous Learner for Web Page Classification”, Proc. 2002 Int. Conf. on Data Mining (ICDM'02), Maebashi, Japan, Dec. 2002.

          J. Han, and K. C.-C. Chang, “Data Mining for Web Intelligence”, Computer, Nov. 2002.

          J. Pei, J. Han, and W. Wang, “Mining Sequential Patterns with Constraints in Large Databases”, Proc. 2002 Int. Conf. on Information and Knowledge Management (CIKM'02)}, Washington, D.C., Nov. 2001.

       Y. Chen, G. Dong, J. Han, B. W. Wah, and J. Wang, “Multi-Dimensional Regression Analysis of Time-Series Data Streams “, Proc. 2002 Int. Conf. on Very Large Data Bases (VLDB'02), Hong Kong, China, Aug. 2002.

       L. V. S. Lakshmanan, J. Pei, and J. Han, " Quotient Cube: How to Summarize the Semantics of a Data Cube '', Proc. 2002 Int. Conf. on Very Large Data Bases (VLDB'02), Hong Kong, China, Aug. 2002.

         J. Han, R. B. Altman, V. Kumar, H. Mannila and D. Pregibon, “ Emerging Scientific Applications in Data Mining”,  Communications of ACM, 45(8):54-58, 2002.

         H. Yu, J. Han, and K. C.-C. Chang, " PEBL: Positive Example Based Learning for Web Page Classification Using SVM '', Proc. 2002 Int. Conf. on Knowledge Discovery in Databases (KDD'02), Edmonton, Canada, July 2002.

         J. Liu, Y. Pan, K. Wang, and J. Han, " Mining Frequent Item Sets by Opportunistic Projection '', Proc. 2002 Int. Conf. on Knowledge Discovery in Databases (KDD'02), Edmonton, Canada, July 2002.

         J. Pei and J. Han, " Constrained Frequent Pattern Mining: A Pattern-Growth View '', ACM SIGKDD Explorations (Special Issue on Constrained Data Mining), 2(2), 2002.

         J. Han, J. Wang, G. Dong, J. Pei, K. Wang. " CubeExplorer: Online Exploration of Data Cubes '', Proc. 2002 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD'02), Madison, WI, June 2002. (system demonstration).

         J. Yang, P. Yu, W. Wang, and J. Han, '' Mining Long Sequential Patterns in a Noisy Environment '', Proc. 2002 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD'02), Madison, WI, June 2002.

         Y. Chen, G. Dong, J. Han, J. Pei, B. W. Wah, and J. Wang, '' Online Analytical Processing Stream Data: Is It Feasible? '', Proc. 2002 ACM-SIGMOD Int. Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD'02), Madison, WI, June 2002.

         K. Wang, S. Zhou, and J. Han, '' Profit Mining: From Patterns to Actions '', Proc. 2002 Int. Conf. on Extending Data Base Technology (EDBT'02), Prague, Czech, March 2002.

2001

W. Li, J. Han, and J. Pei, '' CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules, '', Proc. 2001 Int. Conf. on Data Mining (ICDM'01), San Jose, CA, Nov. 2001.

J. Pei, J. Han, H. Lu, S. Nishio, S. Tang, and D. Yang, '' H-Mine: Hyper-Structure Mining of Frequent Patterns in Large Databases '', Proc. 2001 Int. Conf. on Data Mining (ICDM'01)}, San Jose, CA, Nov. 2001.

H. Pinto, J. Han, J. Pei, K. Wang, Q. Chen, and U. Dayal, '' Multi-Dimensional Sequential Pattern Mining'', Proc. 2001 Int. Conf. on Information and Knowledge Management (CIKM'01), Atlanta, GA, Nov. 2001.

J. Han, M. Kamber, and A. K. H. Tung, '' Spatial Clustering Methods in Data Mining: A Survey '', in H. Miller and J. Han (eds.), Geographic Data Mining and Knowledge Discovery, Taylor and Francis, 2001.

G. Dong, J. Han, J. Lam, J. Pei, and K. Wang, '' Mining Multi-Dimensional Constrained Gradients in Data Cubes '', Proc. 2001 Int. Conf. on Very Large Data Bases (VLDB'01), Rome, Italy, Sept. 2001.

S. H. S. Chee, J. Han, and K. Wang, '' RecTree: An Efficient Collaborative Filtering Method '', Proc. 2001 Int. Conf. on Data Warehouse and Knowledge Discovery (DaWaK'01), Munich, Germany, Sept. 2001.

W. Jin, K.H. Tung and J. Han, '' Mining Top-n Local Outliers in Large Databases '', Proc. 2001 Int. Conf. on Knowledge Discovery in Databases (KDD'01), San Jose, California, Aug. 2001.

J. Pei, A. K. H. Tung, and J. Han, '' Fault-Tolerant Frequent Pattern Mining: Problems and Challenges '', Proc. 2001 ACM-SIGMOD Int. Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD'01), Santa Barbara, CA, May 2001.

J. Han, J. Pei, G. Dong, and K. Wang, '' Efficient Computation of Iceberg Cubes with Complex Measures '', Proc. 2001 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD'01), Santa Barbara, CA, May 2001.

J. Han, H. Jamil, Y. Lu, L. Chen, Y. Liao, and J. Pei, '' DNA-Miner: A System Prototype for Mining DNA Sequences '', Proc. 2001 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD'01), Santa Barbara, CA, May 2001 (system demonstration).

J. Pei, J. Han, H. Pinto, Q. Chen, U. Dayal, and M.-C. Hsu, '' PrefixSpan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth '', Proc. 2001 Int. Conf. on Data Engineering (ICDE'01), Heidelberg, Germany, April 2001.

A. K. H. Tung, J. Hou, and J. Han, '' Spatial Clustering in the Presence of Obstacles '', Proc. 2001 Int. Conf. on Data Engineering (ICDE'01), Heidelberg, Germany, April 2001.

J. Pei, J. Han, and L. V. S. Lakshmanan, '' Mining Frequent Itemsets with Convertible Constraints '', Proc. 2001 Int. Conf. on Data Engineering (ICDE'01), Heidelberg, Germany, April 2001.

A. K. H. Tung, J. Han, L. V. S. Lakshmanan, and R. T. Ng, '' Constraint-Based Clustering in Large Databases '', Proc. 2001 Int. Conf. on Database Theory (ICDT'01), London, U.K., Jan. 2001.

2000

J. Han and J. Pei '' Mining Frequent Patterns by Pattern-Growth: Methodology and Implications '', ACM SIGKDD Explorations (Special Issue on Scaleble Data Mining Algorithms), 2(2), December 2000.

N. Stefanovic, J. Han, and K. Koperski, '' Object-Based Selective Materialization for Efficient Implementation of Spatial Data Cubes '', IEEE Transactions on Knowledge and Data Engineering, 12(6): 938-958, 2000.

H. Lu, L. Feng, and J. Han, '' Beyond Intra-Transaction Association Analysis: Mining Multi-Dimensional Inter-Transaction Association Rules '', ACM Transactions on Information Systems, 18(4): 423-454, 2000.

K. Wang, Y. He and J. Han, '' Mining Frequent Itemsets Using Support Constraints '', Proc. 2000 Int. Conf. on on Very Large Data Bases (VLDB'00), Cairo, Egypt, Sept. 2000.

E. D. Kim, J. M. W. Lam, and J. Han, '' AIM: Approximate Intelligent Matching for Time Series Data '', 2000 Int. Conf. on Data Wareshouse and Knowledge Discovery (DaWaK'00), Greenwich, U.K., Sept. 2000.

J. Han, J. Pei, B. Mortazavi-Asl, Q. Chen, U. Dayal, M.-C. Hsu, '' FreeSpan: Frequent Pattern-Projected Sequential Pattern Mining'', Proc. 2000 Int. Conf. on Knowledge Discovery and Data Mining (KDD'00), Boston, MA, August 2000.

J. Pei and J. Han '' Can We Push More Constraints into Frequent Pattern Mining? '', Proc. 2000 Int. Conf. on Knowledge Discovery and Data Mining (KDD'00), Boston, MA, August 2000.

J. Pei, J. Han, and R. Mao, '' CLOSET: An Efficient Algorithm for Mining Frequent Closed Itemsets (PDF) '', Proc. 2000 ACM-SIGMOD Int. Workshop on Data Mining and Knowledge Discovery (DMKD'00)}, Dallas, TX, May 2000.

J. Han, J. Pei, and Y. Yin, '' Mining Frequent Patterns without Candidate Generation (PDF)'', (Slides), Proc. 2000 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD'00), Dallas, TX, May 2000.

J. Pei, R. Mao, K. Hu, and H. Zhu, '' Towards Data Mining Benchmarking: A Test Bed for Performance Study of Frequent Pattern Mining (PDF)'', Proc. 2000 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD'00), (demo paper), Dallas, TX, May 2000.

J. Pei, J. Han, B. Mortazavi-Asl, and H. Zhu '' Mining Access Patterns Efficiently from Web Logs (PDF)'', Proc. 2000 Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'00), Kyoto, Japan, April 2000.

A. K. H. Tung, J. Hou, and J. Han, '' COE: Clustering with Obstacles Entities, A Preliminary Study (PDF)'', Proc. 2000 Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'00), Kyoto, Japan, April 2000.

O. R. Zaļane, J. Han, and H. Zhu, '' Mining Recurrent Items in Multimedia with Progressive Resolution Refinement (PDF)'', Proc. 2000 Int. Conf. on Data Engineering (ICDE'00), San Diego, CA, March 2000.

1999

L. Feng, H. Lu, J. Yu, and J. Han, '' Exploiting Templates to Make Multi-Dimensional Inter-Transaction Association Rules Mining Practical (PDF)'', Proc. 1999 Int. Conf. on Information and Knowledge Management (CIKM'99), Kansas City, Missouri, Nov. 1999.

J. Han, and Y. Fu, '' Discovery of Multiple-Level Association Rules from Large Databases (PDF)'', IEEE Transactions on Knowledge and Data Engineering, 11(5), 1999.

J. Han, L. V. S. Lakshmanan, and R. T. Ng, '' Constraint-Based, Multidimensional Data Mining (PDF)'', COMPUTER (special issues on Data Mining), 32(8): 46-50, 1999.

A. K. H. Tung, H. Lu, J. Han, and L. Feng, '' Breaking the Barrier of Transactions: Mining Inter-Transaction Association Rules '', Proc. 1999 Int. Conf. on Knowledge Discovery and Data Mining (KDD'99) , San Diego, CA, Aug. 1999. (PDF)

X. Zhou, D. Truffet, and J. Han, '' Efficient Polygon Amalgamation Methods for Spatial OLAP and Spatial Data Mining '', Proc. 6th Int. Symp. on Large Spatial Databases (SSD'99) , Hong Kong, July 1999, pp. 167-187. (PDF)

L. V. S. Lakshmanan, R. Ng, J. Han and A. Pang, '' Optimization of Constrained Frequent Set Queries with 2-Variable Constraints '', Proc. 1999 ACM-SIGMOD Conf. on Management of Data (SIGMOD'99), , Philadelphia, PA, June 1999, pp. 157-168. (PDF)

R. Ng, L. V. S. Lakshmanan, J. Han and T. Mah, '' Exploratory Mining via Constrained Frequent Set Queries '', Proc. 1999 ACM-SIGMOD Conf. on Management of Data (SIGMOD'99) (demo), , Philadelphia, PA, June 1999, pp. 556-558. (PDF)

O. R. Zaiane, E. Hagen, and J. Han, '' Word Taxonomy for On-Line Visual Asset Management and Mining '', Proc. Int. Workshop on Application of Natural Language to Information Systems (NLDB'99) , Klagenfurt, Austria, June 1999 (PDF)

J. Han, Q. Yang, and E. Kim, '' Plan Mining by Divide-and-Conquer '', Proc. 1999 SIGMOD'99 Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD'99) , Philadelphia, PA, May 1999, pp. 8:1-8:6. (PDF)

J. Han, G. Dong, and Y. Yin, '' Efficient Mining of Partial Periodic Patterns in Time Series Database '', Proc. 1999 Int. Conf. on Data Engineering (ICDE'99), Sydney, Australia, March 1999, pp. 106-115. (PDF)

J. Han, '' Data Mining '', in J. Urban and P. Dasgupta (eds.), Encyclopedia of Distributed Computing , Kluwer Academic Publishers, 1999. (PDF)

J. Han, '' Characteristic Rules '', to appear in W. Kloesgen and J. Zytkow (eds.), Handbook of Data Mining and Knowledge Discovery, Oxford University Press, 1999. (PDF)

J. Han, '' Characteristic Rules '', DBMiner , to appear in W. Kloesgen and J. Zytkow (eds.), Handbook of Data Mining and Knowledge Discovery, Oxford University Press, 1999. (PDF)

1998

Osmar R. Zaļane, Jiawei Han, Ze-Nian Li, Jean Hou, '' Mining Multimedia Data'', Proc. CASCON'98: Meeting of Minds, Toronto, Canada, November 1998, pp. 83-96. (PDF)

O. Zaiane and J. Han, '' WebML: Querying the World-Wide Web for Resources and Knowledge '', Proc. (CIKM'98) Int'l Workshop on Web Information and Data Management (WIDM'98) , Bethesda, Maryland, Nov. 1998, pp. 9-12. (PDF)

J. Han, W. Gong, and Y. Yin, '' Mining Segment-Wise Periodic Patterns in Time-Related Databases '', Proc. of 1998 Int'l Conf. on Knowledge Discovery and Data Mining (KDD'98) , New York City, NY, Aug. 1998, pp. 214-218. (PDF)

K. Koperski, J. Han, and N. Stefanovic, '' An Efficient Two-Step Method for Classification of Spatial Data'', Proc. 1998 International Symposium on Spatial Data Handling SDH'98, , Vancouver, BC, Canada, July 1998, pp. 45-54. (PDF)

J. Han, S. Chee, and J. Y. Chiang, '' Issues for On-Line Analytical Mining of Data Warehouses '', Proc. of 1998 SIGMOD'96 Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD'98) , Seattle, Washington, June 1998, pp. 2:1-2:5. (PDF)

H. Lu, J. Han, and L. Feng, '' Stock Movement and N-Dimensional Inter-Transaction Association Rules '', Proc. of 1998 SIGMOD'96 Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD'98) , Seattle, Washington, June 1998, pp. 12:1-12:7. (PDF)

R. Ng, L. V. S. Lakshmanan, J. Han and A. Pang, '' Exploratory Mining and Pruning Optimizations of Constrained Associations Rules'', Proc. of 1998 ACM-SIGMOD Conf. on Management of Data, Seattle, Washington, June 1998, pp. 13-24. (PDF)

O. R. Zaiane, J. Han, Z. N. Li, J. Y. Chiang, and S. Chee, '' MultiMedia-Miner: A System Prototype for MultiMedia Data Mining'', Proc. 1998 ACM-SIGMOD Conf. on Management of Data, (system demo), Seattle, Washington, June 1998, pp. 581-583. (PDF)

J. J. Han, R. T. Ng, Y. Fu, and S. Dao, '' Dealing with Semantic Heterogeneity by Generalization-Based Data Mining Techniques'', M. P. Papazoglou and G. Schlageter (eds.), Cooperative Information Systems: Current Trends & Directions , Academic Press, 1998, pp. 207-231. (PDF)

O. R. Zaiane, M. Xin, J. Han, '' Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs'', Proc. Advances in Digital Libraries Conf. (ADL'98), Santa Barbara, CA, April 1998, pp. 19-29. (PDF)

J. Han, N. Stefanovic, and K. Koperski, '' Selective Materialization: An Efficient Method for Spatial Data Cube Construction'', Proc. 1998 Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'98) [Lecture Notes in Artificial Intelligence, 1394, Springer Verlag, 1998], , Melbourne, Australia, April 1998, pp. 144-158. (PDF)

K.Koperski, J.Han, and J. Adhikary, '' Mining Knowledge in Geographical Data'', accepted by IEEE Comuter , 1998. (PDF)

J. Han, S. Nishio, H. Kawano, and W. Wang, '' Generalization-Based Data Mining in Object-Oriented Databases Using an Object-Cube Model '', Data and Knowledge Engineering , 25(1-2):55-97, 1998. (PDF)

J. Han, '' Towards On-Line Analytical Mining in Large Databases'', SIGMOD Record, 27(1):97-107, 1998. (short version) (PDF)

1997

The Data Mining Research Group, ''Introduction to DBMiner and Data Mining and Warehousing Concepts'' (Microsoft PowerPoint version), Boeing Workshop, Seattle, Washington, December 1997.

The Data Mining Research Group, ''DBMiner Tutorial'' (Microsoft PowerPoint version), Boeing Workshop, Seattle, Washington, December 1997.

The Data Mining Research Group, ''DBMiner User Manual'', December 1997.

J. Han, J. Chiang, S. Chee, J. Chen, Q. Chen, S. Cheng, W. Gong, M. Kamber, K. Koperski, G. Liu, Y. Lu, N. Stefanovic, L. Winstone, B. Xia, O. R. Zaiane, S. Zhang, H. Zhu, ''DBMiner: A System for Data Mining in Relational Databases and Data Warehouses'', Proc. CASCON'97: Meeting of Minds, Toronto, Canada, November 1997.

J. Han, '' OLAP Mining: An Integration of OLAP with Data Mining'', Proc. 1997 IFIP Conference on Data Semantics (DS-7), Leysin, Switzerland, Oct. 1997, pp. 1-11.

J. Han, '' Conference Tutorial Notes: Spatial Data Mining and Spatial Data Warehousing '' (Microsoft PowerPoint version), 5th Int'l Symposium on Spatial Databases(SSD'97), Berlin, Germany, July 1997.

Micheline Kamber, Jiawei Han, Jenny Y. Chiang, '' Using Data Cubes for Metarule-Guided Mining of Multi-Dimensional Association Rules'', Techical Report CS-TR 97-10, School of Computing Science, Simon Fraser University, May 1997.

Micheline Kamber, Jiawei Han, Jenny Y. Chiang, '' Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes '', Proceeding of the 3rd International Conference on Knowledge Discovery and Data Mining, Newport Beach, California, Aug. 1997, in press.

J. Han, K. Koperski, and N. Stefanovic, '' GeoMiner: A System Prototype for Spatial Data Mining'', Proc. 1997 ACM-SIGMOD Int'l Conf. on Management of Data(SIGMOD'97), Tucson, Arizona, May 1997(System prototype demonstration).

J. Han, '' Conference Tutorial Notes: Integration of Data Mining and Data Warehousing Technologies ''(Microsoft PowerPoint version), 1997 Int'l Conf. on Data Engineering (ICDE'97), Birmingham, England, April 1997.

J. Han, '' Data Mining: Where Is It Heading?'', Proc. of 1997 Int'l Conf. on Data Engineering (ICDE'97), Birmingham, England, April 1997, pp. 508.

M. Kamber, L. Winstone, W. Gong, S. Cheng, and J. Han, '' Generalization and Decision Tree Induction: Efficient Classification in Data Mining'', Proc. of 1997 Int'l Workshop on Research Issues on Data Engineering (RIDE'97), Birmingham, England, April 1997, pp. 111-120.

1996

M.S. Chen, J. Han, and P.S. Yu, '' Data Mining: An Overview from a Database Perspective'', IEEE Transactions on Knowledge and Data Engineering, 8(6): 866-883, 1996.

D. Cheung, J. Han, V. T. Ng, A. W. Fu an Y. Fu, '' A Fast Distributed Algorithm for Mining Association Rules'', Proc. of 1996 Int'l Conf. on Parallel and Distributed Information Systems (PDIS'96), Miami Beach, Florida, USA, Dec. 1996.

Jiawei Han, Yongjian Fu, Wei Wang, Jenny Chiang, Wan Gong, Krzysztof Koperski, Deyi Li, Yijun Lu, Amynmohamed Rajan, Nebojsa Stefanovic, Betty Xia, Osmar R. Zaiane, '' DBMiner: A System for Mining Knowledge in Large Relational Databases , Proc. 1996 Int'l Conf. on Data Mining and Knowledge Discovery (KDD'96) , Portland, Oregon, August 1996, pp. 250-255. (Presentation transparencies, Microsoft PowerPoint version).

J. Han ''Conference Tutorial Notes: Data Mining Techniques'', 1996 ACM/SIGMOD Int'l Conf. on Management of Data (SIGMOD'96), Montreal, Canada, June 1996.

J. Han, Y. Fu, W. Wang, J. Chiang, O. R. Zaiane, and K. Koperski, '' DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases'', Proc. 1996 ACM-SIGMOD Int'l Conf. on Management of Data (SIGMOD'96), Montreal, Canada, June 1996 (System prototype demonstration).

J. Han, ''Data Mining Techniques'', Proc. 1996 ACM-SIGMOD Int'l Conf. on Management of Data (SIGMOD'96), Montreal, Canada, June 1996 (Tutorial).

K. Koperski, J. Adhikary and J. Han, '' Spatial Data Mining: Progress and Challenges'', 1996 SIGMOD'96 Workshop. on Research Issues on Data Mining and Knowledge Discovery (DMKD'96), Montreal, Canada, June 1996.

J. Han, Y. Fu, K. Koperski, W. Wang, and O. Zaiane, '' DMQL: A Data Mining Query Language for Relational Databases'', 1996 SIGMOD'96 Workshop. on Research Issues on Data Mining and Knowledge Discovery (DMKD'96), Montreal, Canada, June 1996.

K. Koperski and J. Han, '' Data Mining Methods for the Analysis of Large Geographic Databases'', Proc. 10th Annual Conference on GIS, Vancouver, Canada, March 1996.

D. Cheung, J. Han, V. Ng and C.Y. Wong, '' Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique'', Proc. of 1996 Int'l Conf. on Data Engineering (ICDE'96), New Orleans, Louisiana, USA, Feb. 1996.

J. Han and Y. Fu, '' Exploration of the Power of Attribute-Oriented Induction in Data Mining'', U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (eds.), Advances in Knowledge Discovery and Data Mining, AAAI/MIT Press, 1996, pp. 399-421.

1995

Y. Fu and J. Han, '' Meta-Rule-Guided Mining of Association Rules in Relational Databases'', Proc. 1995 Int'l Workshop. on Knowledge Discovery and Deductive and Object-Oriented Databases (KDOOD'95), Singapore, December 1995, pp. 39-46.

J. Han, '' Mining Knowledge at Multiple Concept Levels'', Proc. 4th Int'l Conf. on Information and Knowledge Management (CIKM'95), Baltimore, Maryland, Nov. 1995, pp. 19-24.

J. Han, Y. Fu, K. Koperski, G. Melli, W. Wang, O. R. Zaļane, '' Knowledge Mining in Databases: An Integration of Machine Learning Methodologies with Database Technologies'', Canadian Artificial Intelligence, October 1995.

J. Han and Y. Fu, '' Discovery of Multiple-Level Association Rules from Large Databases'', Proc. of 1995 Int'l Conf. on Very Large Data Bases (VLDB'95), Zürich, Switzerland, September 1995, pp. 420-431.

O. R. Zaļane and J. Han, '' Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment'', Proc. 1st Int'l Conf. on Knowledge Discovery and Data Mining (KDD'95), Montreal, Canada, Aug. 1995, pp. 331-336.

K. Koperski and J. Han, '' Discovery of Spatial Association Rules in Geographic Information Databases'', Proc. 4th Int'l Symp. on Large Spatial Databases (SSD95), Maine, Aug. 1995, pp. 47-66.

J. Han, Y. Fu and S. Tang, '' Advances of the DBLearn System for Knowledge Discovery in Large Databases'', (video demonstration), Proc. 1995 Int'l Joint Conf. on Artificial Intelligence (IJCAI'95), Montreal, Canada, Aug. 1995, pp. 2049-2050.

J. Han, O. R. Zaļane, and Y. Fu, '' Resource and Knowledge Discovery in Global Information Systems: A Scalable Multiple Layered Database Approach'', Proc. of a Forum on Research and Technology Advances in Digital Libraries (ADL'95), McLean, Virginia, May 1995.

J. Han, '' From Database Systems to Knowledge-Base Systems: An Evolutionary Approach'', Tutorial Notes at the 11th Int'l Conf. on Data Engineering (ICDE'95) Taipei, Taiwan, March 1995, pp. 1-106.

J. Han, Y. Huang, N. Cercone, and Y. Fu, '' Intelligent Query Answering by Knowledge Discovery Techniques'', IEEE Transactions on Knowledge and Data Engineering, 8(3): 373-390, 1996.

1994

J. Han, S. Nishio and H. Kawano, '' Knowledge Discovery in Object-Oriented and Active Databases'', F. Fuchi and T. Yokoi (eds.), Knowledge Building and Knowledge Sharing, Ohmsha, Ltd. and IOS Press, 1994, pp. 221-230.

R. Ng and J. Han, '' Efficient and Effective Clustering Method for Spatial Data Mining'', Proc. of 1994 Int'l Conf. on Very Large Data Bases (VLDB'94), Santiago, Chile, September 1994, pp. 144-155.

J. Han and Y. Fu, '' Dynamic Generation and Refinement of Concept Hierarchies for Knowledge Discovery in Databases'', AAAI'94 Workshop on Knowledge Discovery in Databases (KDD'94), Seattle, WA, July 1994, pp. 157-168.

J. Han, Y. Fu, and R. Ng, '' Cooperative Query Answering Using Multiple Layered Databases'', Proc. 2nd Int. Conf. Cooperative Information Systems (CoopIS'94), Toronto, Canada, May 1994, pp. 47-58.

1993

J. Han, Y. Cai and N. Cercone, '' Data-Driven Discovery of Quantitative Rules in Relational Databases '', IEEE Transactions on Knowledge and Data Engineering, 5(1):29-40, 1993.

W. Lu, J. Han and B. C. Ooi, '' Discovery of General Knowledge in Large Spatial Databases'', Proc. of 1993 Far East Workshop on Geographic Information Systems (FEGIS'93), Singapore, June 1993, pp. 275-289.

1992

J. Han, Y. Cai and N. Cercone, '' Knowledge Discovery in Databases: An Attribute-Oriented Approach'', Proc. of 1992 Int'l Conf. on Very Large Data Bases (VLDB'92), Vancouver, Canada, August 1992, pp. 547-559.



Other Papers on KDD
Data Mining and Knowledge Discovery in Databases
Spatial and Multi-Media Databases
Deductive and Object-Oriented Databases
MSc. and Ph.D. Theses Related to Data Mining and Database Systems
Conference or Workshop Presentation Slides


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