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
J. Han, Y. Cai and N. Cercone,
`` Concept-Based Data Classification in Relational Databases'',
in Workshop Notes of 1991 AAAI Workshop on Knowledge Discovery
in Databases (KDD'91),
Anaheim, CA, July 1991, pp. 77-94.
H. Kawano, S. Nishio and J. Han,
`` Technology of Knowledge Discovery from Database'',
Journal of Japanese Society for Artificial Intelligence,
10(1):38-44, 1995 (in Japanese).
J. Han, Y. Cai, N. Cercone and Y. Huang,
`` Discovery of Data Evolution Regularities in Large Databases'',
Journal of Computer and Software Engineering, 3(1):41-69, 1995.
J. Han, `` Towards Efficient Induction Mechanisms in Database Systems'',
Theoretical Computing Science, 133:361-385, 1994.
X. Hu, N. Cercone and J. Han,
`` An Attribute-Oriented Rough Set Approach for Knowledge Discovery
in Databases'',
in W.P. Ziarko (eds.), Rough Sets, Fuzzy Sets and Knowledge Discovery,
Springer-Verlag, 1994, pp. 90-99.
D.W. Cheung, A. W.-C. Fu and J. Han, `` Knowledge Discovery in Databases:
A Rule-Based Attribute-Oriented Approach'',
in Proc. of 1994 Int'l Symp. on Methodologies for Intelligent
Systems (ISMIS'94), Charlotte, North Carolina, October 1994, pp. 164-173.
H. Kawano, S. Nishio, J. Han, and T. Hasegawa,
`` How Does Knowledge Discovery Cooperate with Active Database
Techniques in Controlling Dynamic Environment?'',
in Proc. 5th Int'l Conf. on Database and Expert Systems Applications
(DEXA'94), Athens, Greece, September 1994, pp. 370-379.
J. Han,
`` Towards Intelligent Database Systems: A Tutorial on Deductive and
Object-Oriented Databases and Data Mining Technologies'',
Tutorial Notes at IRIS-PRECARN 4th Annual Conference,
Toronto, Canada, June 1994, pp. 1-51.
H. Kawano, S. Nishio, J. Han, and T. Hasegawa,
`` Towards an Integration of Knowledge Discovery in Databases with
Active Databases Techniques'', in Proc. 8th Annual Conf.\
of JSAI (Japanese Society of Artificial Intelligence),
pp. 509-512, Tokyo, June 1994. ( Excellent paper award).
J. Han, Y. Fu, Y. Huang, Y. Cai, and N. Cercone,
`` DBLearn: A system prototype for knowledge discovery in relational
databases'',
Proc. 1994 ACM-SIGMOD Int'l Conf. on Management of Data (SIGMOD'94),
Minneapolis, MN, May 1994 (System prototype demonstration), p. 516.
J. Han and Y. Fu, `` Knowledge Discovery and Constraint-Based
Processing in Automated Manufacturing'', in Proc. 2nd IEEE
Conf. on Control Applications, Vancouver, Canada, Sept. 1993, pp. 691-696.
X. Hu, N. Cercone and J. Han,
`` Object Aggregation and Cluster Identification: A Knowledge
Discovery Approach'',
in Proc. 3rd Int'l Conf. for Young Computer Scientists,
Beijing, China, July 1993.
X. Hu, N. Cercone and J. Han,
`` Discovery of Knowledge Associated with Concept Hierarchy in Database'',
in Proc. 3rd Int'l Conf. for Young Computer Scientists,
Beijing, China, July 1993.
S. Nishio, H. Kawano and J. Han, `` Knowledge Discovery in
Object-Oriented Databases: The First Step'', in
Proc. 1993 AAAI Workshop on Knowledge Discovery in Databases (KDD'93),
Washington D.C., July 1993, pp. 186-198.
J. Han,
`` Towards Intelligent Spatial Database Systems'', Tutorial
Notes at SSD'93: The 3rd Int'l Symp. on Large Spatial Databases,
Singapore, June 1993.
J. Han, `` Efficient Deduction and Induction: Key to
the Success of Data-Intensive Knowledge-Base Systems'',
in V.S. Alagar, L.V.S. Lakshmanan and F. Sadri (eds.),
Formal Methods in Databases and Software Engineering,
Springer-Verlag, 1993, pp. 139-157.
J. Han, Y. Cai, N. Cercone and Y. Huang, `` DBLEARN:
A Knowledge Discovery System for Large Databases'', in
Proc. of 1st Int'l Conf. on Information and Knowledge
Management (CIKM'92), Baltimore, Maryland, Nov. 1992, pp. 473-481.
J. Han, Y. Cai and N. Cercone, `` Knowledge Discovery in Large Databases'',
(Invited speech), in Proc of Computer World'92 (2nd Int'l Symp.),
Kobe, Japan, Nov. 1992, pp. 60-67.
J. Han, `` What Kind of Knowledge Can Be Discovered in Databases?'',
(Invited speech), in Proc. of Symp. on Conceptual Construction and
Knowledge Acquisition in Knowledge Science --- Learning and Discovery
of Knowledge in Man-Machine, Tokyo, Japan, Oct. 1992, pp. 5-14.
J. Han, Y. Cai and N. Cercone, `` Knowledge Discovery in Databases:
An SFU Effort'', in Notes of AI'92 Machine Learning Workshop,
Vancouver, Canada, May 1992, pp. ix:1-ix:8.
Y. Cai, N. Cercone and J. Han, `` Learning in Relational Databases:
An Attribute-Oriented Approach'', Computational Intelligence,
7(3):119-132, 1991.
Y. Cai, N. Cercone and J. Han,
`` Attribute-Oriented Induction in Relational Databases'', in
G. Piatetsky-Shapiro and W. J. Frawley (eds.), Knowledge Discovery
in Databases, AAAI/MIT Press, 1991, pp. 213-228.
J. Han, Y. Cai and N. Cercone,
`` Discovery of Quantitative Rules from Large Databases'', in
Z.W. Ras, M. Zemankova and M.L. Emrich (eds.), Methodologies for
Intelligent Systems, 5, Elsevier Science, 1990, pp. 157-165.
Y. Cai, N. Cercone and J. Han,
`` Learning Characteristic Rules from Relational Databases'', in Gardin
and G. Mauri (eds.), Computational Intelligence, II,
Proc. Int'l
Symp. on Computational Intelligence 89, Milano, Italy, September 1989
,
Elsevier Science, 1990, pp. 187-196.
J. Han, Y. Cai and N. Cercone,
`` Support of Efficient Deduction and Induction Mechanisms in
Data-Intensive Knowledge-Base Systems'', in Working Notes of
AAAI-90 Workshop on Knowledge Base Management Systems, Boston,
MA, July 1990, pp. 41-45.
Y. Cai, N. Cercone and J. Han,
`` An Attribute-Oriented Approach for Learning Classification Rules
from Relational Databases'',
in Proc. 6th Int'l Conf. on Data Engineering (ICDE'90),
Los Angeles, CA, February 1990, pp. 281-288.
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