Data Mining and Personalization Technologies.

@inproceedings{DBLP:conf/dasfaa/Yu99,
  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, http://dblp.uni-trier.de}
}

Abstract

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

ACM SIGMOD DiSC

• Windows: Click the letter of your CD drive
  A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
• Mac: Click here
• UNIX/LINUX: mount the CD and click on the path of your mount point:
  /Anthology/DISC001 or /cdrom

ACM SIGMOD Anthology

• Windows: Click the letter of your CD drive
  A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
• Mac: Click here
• UNIX/LINUX: mount the DVD and click on the path of your mount point:
  /Anthology/aDVD1 or /dvd

Online Edition: IEEE Computer Society Digital Library

References

[1]

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

[2]

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

[3]

Charu C. Aggarwal, Philip S. Yu: Online Generation of Association Rules. ICDE 1998: 402-411 BibTeX

[4]

Charu C. Aggarwal, Zheng Sun, Philip S. Yu: Online Generation of Profile Association Rules. KDD 1998: 129-133 BibTeX

[5]

Charu C. Aggarwal, Philip S. Yu: A New Framework For Itemset Generation. PODS 1998: 18-24 BibTeX

[6]

...

[7]

Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami: Mining Association Rules between Sets of Items in Large Databases. SIGMOD Conference 1993: 207-216 BibTeX

[8]

Rakesh Agrawal, Ramakrishnan Srikant: Fast Algorithms for Mining Association Rules in Large Databases. VLDB 1994: 487-499 BibTeX

[9]

Marko Balabanovic, Yoav Shoham: Content-Based, Collaborative Recommendation. Commun. ACM 40(3): 66-72(1997) BibTeX

[10]

Roberto J. Bayardo Jr.: Efficiently Mining Long Patterns from Databases. SIGMOD Conference 1998: 85-93 BibTeX

[11]

...

[12]

Sergey Brin, Rajeev Motwani, Craig Silverstein: Beyond Market Baskets: Generalizing Association Rules to Correlations. SIGMOD Conference 1997: 265-276 BibTeX

[13]

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

[14]

...

[15]

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

[16]

Martin Ester, Hans-Peter Kriegel, Xiaowei Xu: A Database Interface for Clustering in Large Spatial Databases. KDD 1995: 94-99 BibTeX

[17]

Martin Ester, Hans-Peter Kriegel, Xiaowei Xu: Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification. SSD 1995: 67-82 BibTeX

[18]

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

[19]

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

[20]

Marti A. Hearst, Jan O. Pedersen: Reexamining the Cluster Hypothesis: Scatter/Gather on Retrieval Results. SIGIR 1996: 76-84 BibTeX

[21]

Anil K. Jain, Richard C. Dubes: Algorithms for Clustering Data. Prentice-Hall 1988
BibTeX

[22]

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

[23]

Ron Kohavi, Dan Sommerfield: Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology. KDD 1995: 192-197 BibTeX

[24]

Bruce Krulwich, Chad Burkey: The ContactFinder Agent: Answering Bulletin Board Questions with Referrals. AAAI/IAAI, Vol. 1 1996: 10-15 BibTeX

[25]

Ken Lang: NewsWeeder: Learning to Filter Netnews. ICML 1995: 331-339 BibTeX

[26]

Manish Mehta, Rakesh Agrawal, Jorma Rissanen: SLIQ: A Fast Scalable Classifier for Data Mining. EDBT 1996: 18-32 BibTeX

[27]

Raymond T. Ng, Jiawei Han: Efficient and Effective Clustering Methods for Spatial Data Mining. VLDB 1994: 144-155 BibTeX

[28]

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

[29]

J. Ross Quinlan: Induction of Decision Trees. Machine Learning 1(1): 81-106(1986) BibTeX

[30]

...

[31]

Paul Resnick, Neophytos Iacovou, Mitesh Suchak, Peter Bergstrom, John Riedl: GroupLens: An Open Architecture for Collaborative Filtering of Netnews. CSCW 1994: 175-186 BibTeX

[32]

Paul Resnick, Hal R. Varian: Recommender Systems - Introduction to the Special Section. Commun. ACM 40(3): 56-58(1997) BibTeX

[33]

Gerard Salton: Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer. Addison-Wesley 1989, ISBN 0-201-12227-8
BibTeX

[34]

Thomas Seidl, Hans-Peter Kriegel: Optimal Multi-Step k-Nearest Neighbor Search. SIGMOD Conference 1998: 154-165 BibTeX

[35]

Upendra Shardanand, Pattie Maes: Social Information Filtering: Algorithms for Automating "Word of Mouth". CHI 1995: 210-217 BibTeX

[36]

John C. Shafer, Rakesh Agrawal, Manish Mehta: SPRINT: A Scalable Parallel Classifier for Data Mining. VLDB 1996: 544-555 BibTeX

[37]

Ramakrishnan Srikant, Rakesh Agrawal: Mining Generalized Association Rules. VLDB 1995: 407-419 BibTeX

[38]

Ramakrishnan Srikant, Rakesh Agrawal: Mining Quantitative Association Rules in Large Relational Tables. SIGMOD Conference 1996: 1-12 BibTeX

[39]

Tian Zhang, Raghu Ramakrishnan, Miron Livny: BIRCH: An Efficient Data Clustering Method for Very Large Databases. SIGMOD Conference 1996: 103-114 BibTeX