Data Mining and Personalization Technologies.

Philip S. Yu: Data Mining and Personalization Technologies. DASFAA 1999: 6-13
  author    = {Philip S. Yu},
  editor    = {Arbee L. P. Chen and
               Frederick H. Lochovsky},
  title     = {Data Mining and Personalization Technologies},
  booktitle = {Database Systems for Advanced Applications, Proceedings of the
               Sixth International Conference on Database Systems for Advanced
               Applications (DASFAA), April 19-21, Hsinchu, Taiwan},
  publisher = {IEEE Computer Society},
  year      = {1999},
  isbn      = {0-7695-0084-6},
  pages     = {6-13},
  ee        = {db/conf/dasfaa/Yu99.html},
  crossref  = {DBLP:conf/dasfaa/99},
  bibsource = {DBLP,}


Data mining has become increasingly popular and is widely used in various application areas. In this paper, we examine new developments in data mining and its application to personalization in E-commerce. Personalization is what merchants and publishers want to do to tailor the Web site or advertisement and product promotion to a customer based on his past behavior and inference from other like-minded people. E-commerce offers the opportunity to deploy this type of one-to-one marketing instead of the traditional mass marketing. The technology challenges to support personalization will be discussed. These include the need to perform clustering and searching in very high dimensional data space with huge amount of data. We'll examine some of the new data mining technologies developed that can support personalization.

Copyright © 1999 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.


CDROM Version: Load the CDROM "DiSC, Volume 2 Number 1" and ...

ACM SIGMOD Anthology

DVD Version: Load ACM SIGMOD Anthology DVD 1" and ... BibTeX

Online Edition: IEEE Computer Society Digital Library

Citation Page


Charu C. Aggarwal, Cecilia Magdalena Procopiuc, Joel L. Wolf, Philip S. Yu, Jong Soo Park: Fast Algorithms for Projected Clustering. SIGMOD Conference 1999: 61-72 BibTeX
Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu: A New Method for Similarity Indexing of Market Basket Data. SIGMOD Conference 1999: 407-418 BibTeX
Charu C. Aggarwal, Philip S. Yu: Online Generation of Association Rules. ICDE 1998: 402-411 BibTeX
Charu C. Aggarwal, Zheng Sun, Philip S. Yu: Online Generation of Profile Association Rules. KDD 1998: 129-133 BibTeX
Charu C. Aggarwal, Philip S. Yu: A New Framework For Itemset Generation. PODS 1998: 18-24 BibTeX
Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami: Mining Association Rules between Sets of Items in Large Databases. SIGMOD Conference 1993: 207-216 BibTeX
Rakesh Agrawal, Ramakrishnan Srikant: Fast Algorithms for Mining Association Rules in Large Databases. VLDB 1994: 487-499 BibTeX
Marko Balabanovic, Yoav Shoham: Content-Based, Collaborative Recommendation. Commun. ACM 40(3): 66-72(1997) BibTeX
Roberto J. Bayardo Jr.: Efficiently Mining Long Patterns from Databases. SIGMOD Conference 1998: 85-93 BibTeX
Sergey Brin, Rajeev Motwani, Craig Silverstein: Beyond Market Baskets: Generalizing Association Rules to Correlations. SIGMOD Conference 1997: 265-276 BibTeX
Ming-Syan Chen, Jiawei Han, Philip S. Yu: Data Mining: An Overview from a Database Perspective. IEEE Trans. Knowl. Data Eng. 8(6): 866-883(1996) BibTeX
Douglas R. Cutting, David R. Karger, Jan O. Pedersen: Constant Interaction-Time Scatter/Gather Browsing of Very Large Document Collections. SIGIR 1993: 126-134 BibTeX
Martin Ester, Hans-Peter Kriegel, Xiaowei Xu: A Database Interface for Clustering in Large Spatial Databases. KDD 1995: 94-99 BibTeX
Martin Ester, Hans-Peter Kriegel, Xiaowei Xu: Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification. SSD 1995: 67-82 BibTeX
Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. KDD 1996: 226-231 BibTeX
David Goldberg, David A. Nichols, Brian M. Oki, Douglas B. Terry: Using Collaborative Filtering to Weave an Information Tapestry. Commun. ACM 35(12): 61-70(1992) BibTeX
Marti A. Hearst, Jan O. Pedersen: Reexamining the Cluster Hypothesis: Scatter/Gather on Retrieval Results. SIGIR 1996: 76-84 BibTeX
Anil K. Jain, Richard C. Dubes: Algorithms for Clustering Data. Prentice-Hall 1988
Stefan Berchtold, Christian Böhm, Daniel A. Keim, Hans-Peter Kriegel: A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space. PODS 1997: 78-86 BibTeX
Ron Kohavi, Dan Sommerfield: Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology. KDD 1995: 192-197 BibTeX
Bruce Krulwich, Chad Burkey: The ContactFinder Agent: Answering Bulletin Board Questions with Referrals. AAAI/IAAI, Vol. 1 1996: 10-15 BibTeX
Ken Lang: NewsWeeder: Learning to Filter Netnews. ICML 1995: 331-339 BibTeX
Manish Mehta, Rakesh Agrawal, Jorma Rissanen: SLIQ: A Fast Scalable Classifier for Data Mining. EDBT 1996: 18-32 BibTeX
Raymond T. Ng, Jiawei Han: Efficient and Effective Clustering Methods for Spatial Data Mining. VLDB 1994: 144-155 BibTeX
Jong Soo Park, Ming-Syan Chen, Philip S. Yu: Using a Hash-Based Method with Transaction Trimming for Mining Association Rules. IEEE Trans. Knowl. Data Eng. 9(5): 813-825(1997) BibTeX
J. Ross Quinlan: Induction of Decision Trees. Machine Learning 1(1): 81-106(1986) BibTeX
Paul Resnick, Neophytos Iacovou, Mitesh Suchak, Peter Bergstrom, John Riedl: GroupLens: An Open Architecture for Collaborative Filtering of Netnews. CSCW 1994: 175-186 BibTeX
Paul Resnick, Hal R. Varian: Recommender Systems - Introduction to the Special Section. Commun. ACM 40(3): 56-58(1997) BibTeX
Gerard Salton: Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer. Addison-Wesley 1989, ISBN 0-201-12227-8
Thomas Seidl, Hans-Peter Kriegel: Optimal Multi-Step k-Nearest Neighbor Search. SIGMOD Conference 1998: 154-165 BibTeX
Upendra Shardanand, Pattie Maes: Social Information Filtering: Algorithms for Automating "Word of Mouth". CHI 1995: 210-217 BibTeX
John C. Shafer, Rakesh Agrawal, Manish Mehta: SPRINT: A Scalable Parallel Classifier for Data Mining. VLDB 1996: 544-555 BibTeX
Ramakrishnan Srikant, Rakesh Agrawal: Mining Generalized Association Rules. VLDB 1995: 407-419 BibTeX
Ramakrishnan Srikant, Rakesh Agrawal: Mining Quantitative Association Rules in Large Relational Tables. SIGMOD Conference 1996: 1-12 BibTeX
Tian Zhang, Raghu Ramakrishnan, Miron Livny: BIRCH: An Efficient Data Clustering Method for Very Large Databases. SIGMOD Conference 1996: 103-114 BibTeX
ACM SIGMOD Anthology - DBLP: [Home | Search: Author, Title | Conferences | Journals]
DASFAA 1999 Proceedings: Copyright © by IEEE,
ACM SIGMOD Anthology: Copyright © by ACM (, Corrections:
DBLP: Copyright © by Michael Ley (, last change: Sat May 16 23:05:36 2009