아래에 있는 homepages는 데이터마이닝 분야를 연구하는 연구원들 중에서 homepage 관리가 잘 되어 있고 제 관심 분야의 논문을 포함하고 있는 것입니다. ( ACM SIGKDD를 운영하는 운영위원의 homepage를 참고하거나, Data Mining and Knowledge Discovery: An International Journal의 편집위원의 homepage를 참고하십시오.)

그리고, 그 다음에 나열된 논문은 주로 해당 저자의 homepage나 email을 통해 수집한 논문들 중에서 선택한 것입니다. Major conferences( ACM SIGMOD, ACM SIGKDD, VLDB, IEEE TCDE의 ICDE 2000) 의 Proceedings를 참고하면 더욱 빼어난 논문을 만날 수 있을 것입니다.

DM 연구자의 주요 Homepages

(Homepages of Some Researchers on Data Mining)

Rakesh Agrawal, IBM Almaden Research Center
Usama Fayyad, Microsoft Research
Jiawei Han, Simon Fraser University
Heikki Mannila, Helsinki University of Technology
Rajeev Rastogi, Bell Laboratories
Kyuseok Shim, Bell Laboratories, 현재 KAIST 교수
Jeffrey D. Ullman, Stanford University
Mohammed Javeed Zaki, Rensselaer Polytechnic Institute

Association Rules

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

Roberto J. Bayardo Jr., Rakesh Agrawal, and Dimitrios Gunopulos, Costraint-Based Rule Mining in Large, Dense Databases, In Proc. of Fifteenth International Conference on Data Engineering, Sydney, Australia, March 23-26, 1999, pp. 188-197.

Ramaswamy, S., S. Mahajan, and A. Silberschatz, " On The Discovery of Interesting Patterns in Associations Rules" , International Conference on Very Large Databases, pp 368-379, August 1998.

Roberto J. Bayardo Jr., Efficiently Mining Long Patterns from Databases, Pro. of 1998 ACM-SIGMOD Conf. on Management of Data, pp 85-93, Seattle, Washington, June 1998.

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

Christian Hidber, Online Association Rule Mining, UCB//CSD-98-1004, Department of Electrical Engineering and Computer Science, University of California at Berkeley, May 20, 1998. (Also, In the Proc. of ACM-SIGMOD Conf. on Management of Data, pp. 145-156, Philadelphia, June 1999)

Ozden, B., S. Ramaswamy, and A. Silberschatz, "Cyclic Association Rules", International Conference on Data Engineering, April, 1998.

D-I Lin and Z. Kedem, Pincer-Search: A New Algorithm for Discovering the Maximum Frequent Set , TR1997-742, September 15, 1997, CS of NYU

R. Srikant, Q. Vu, and R. Agrawal, "Mining Association Rules with Item Constraints", KDD '97, pp 67-73, 1997.

Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mitsunori Ogihara, Wei Li, "New Algorithms for Fast Discovery of Association Rules", 3rd International Conference on Knowledge Discovery and Data Mining (KDD), pp 283-286, Newport, California, August, 1997. Techical Report 651 (Detailed version)

Sergey Brin, Rajeev Motwani, Jeffery D. Ullman, and Shalom Tsur, "Dynamic Itemset Counting and Implication Rules for Market-Basket Data" , In ACM SIGMOD 1997, pp 255-264, AZ.

Ramakrishnan Srikant and Rakesh Agrawal "Mining Generalized Association Rules", In Proc. of the 21st Int'l Conference on aery Large Databases, Zurich, Switzerland, September 1995

Marcel Holsheimer, Martin Kersten, Heikki Mannila, and Hannu Toivonen, "A perspective on databases and data mining", In First International Conference on Knowledge Discovery and Data Mining (KDD'95), 150 - 155, Montreal, Canada, August 1995. AAAI Press.

Jong Soo Park, Ming-Syan Chen, and Philip S. Yu, "An Effective Hash-Based Algorithm for Mining Association Rules", In Proc. of the ACM SIGMOD Conference on Management of Data, San Jose, 1995

Rakesh Agrawal and Ramakrishnan Srikant, "Fast Algorithms for Mining Association Rules", In Proc. of the VLDB Conference, Santiago, Chile, September, 1994

Rakesh Agrawal, Tomasz Imielinski, and Arun Swami, "Mining Association Rules between Sets of Items in Large Databases", In Proc. of the ACM SIGMOD Conference on Management of Data, pp. 207-216, Washington, D.C., May 1993

Sequential Patterns

Mohammed Javeed Zaki, "Efficient Enumeration of Frequent Sequences," 7th International Conference on Information and Knowledge Management, Washington DC, November 1998. (Technical Report 668, Computer Science, University of Rochester)

Ke Wang, Discovering Patterns from Large and Dynamic Sequential Data, Special issues on Data Mining and Knowledge Discovery, Journal of Intelligent Information Systems, 9(1), 8-33, 1997, Kluwer Academic Publishers.

Ke Wang and Jye Tan, Incremental Discovery of Sequential Patterns, ACM-SIGMOD's 96 Data Mining Workshop: On Research Issues on Data Mining and Knowledge Discovery, Montreal, Canada, May 1996, 95-102.

R. Srikant, R. Agrawal, Mining Sequential Patterns: Generalizations and Performance Improvements, in Proc. of the Fifth Int'l Conference on Extending Database Technology (EDBT), Avignon, France, March 1996.

R. Agrawal, R. Srikant, Mining Sequential Patterns, Proc. of the Int'l Conference on Data Engineering (ICDE), Taipei, Taiwan, March 1995.

Clustering

Charu C. Aggarwal, Cecilia Procopiuc, Joel L. Wolf, Philip S. Yu, and Jong Soo Park, Fast Algorithms for Projected Clustering, In Proc. of the ACM SIGMOD Conference on Management of Data, Philadelphia, USA, June 1-3, 1999, pp. 61-72.

Sudipto Guha, Rajeev Rastogi, and Kyuseok Shim, ROCK: A Robust Clustering Algorithm for Categorical Attributes, In Proc. of Fifteenth International Conference on Data Engineering, Sydney, Australia, March 23-26, 1999, pp. 512-521.

Sudipto Guha, Rajeev Rastogi, and Kyuseok Shim, CURE: An Efficient Clustering Algorithm for Large Databases, In Proc. of the ACM SIGMOD Conference on Management of Data, May, 1998.

Tian Zhang, Gaghu Ramakrishnan, and Miron Linvy, BIRCH: An Efficient Data Clustering Method for Very Large Databases, In Proc. of the ACM SIGMOD Conference on Management of Data, Montreal, Cananda, June, 1996.

Raymond T. Ng and Jiawei Han, Efficient and Effective Clustering Methods for Spatial Data Mining, In Proc. of the VLDB Conference, Santiago, Chile, September 1994.

Web Mining

Jiawei Han, From DBMiner to WebMiner: What is the Future of Data Mining? (in PowerPoint), talk at Commerce, UBC, B.C. , Jan. 2000.

Jiawei Han, Web Mining: Panel Presentation at SIGMOD'99 Web Mining Panel, (Microsoft PowerPoint slides), Philadelpia, June 1999

Last updated : February 16, 2000
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