Data Mining and Personalization Technologies.
Philip S. Yu:
Data Mining and Personalization Technologies.
DASFAA 1999: 6-13@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
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 ...
DVD Version: Load ACM SIGMOD Anthology DVD 1" and ...
Citation Page
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

- [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

- [3]
- Charu C. Aggarwal, Philip S. Yu:
Online Generation of Association Rules.
ICDE 1998: 402-411

- [4]
- Charu C. Aggarwal, Zheng Sun, Philip S. Yu:
Online Generation of Profile Association Rules.
KDD 1998: 129-133

- [5]
- Charu C. Aggarwal, Philip S. Yu:
A New Framework For Itemset Generation.
PODS 1998: 18-24

- [6]
- ...
- [7]
- Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami:
Mining Association Rules between Sets of Items in Large Databases.
SIGMOD Conference 1993: 207-216

- [8]
- Rakesh Agrawal, Ramakrishnan Srikant:
Fast Algorithms for Mining Association Rules in Large Databases.
VLDB 1994: 487-499

- [9]
- Marko Balabanovic, Yoav Shoham:
Content-Based, Collaborative Recommendation.
Commun. ACM 40(3): 66-72(1997)

- [10]
- Roberto J. Bayardo Jr.:
Efficiently Mining Long Patterns from Databases.
SIGMOD Conference 1998: 85-93

- [11]
- ...
- [12]
- Sergey Brin, Rajeev Motwani, Craig Silverstein:
Beyond Market Baskets: Generalizing Association Rules to Correlations.
SIGMOD Conference 1997: 265-276

- [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)

- [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

- [16]
- Martin Ester, Hans-Peter Kriegel, Xiaowei Xu:
A Database Interface for Clustering in Large Spatial Databases.
KDD 1995: 94-99

- [17]
- Martin Ester, Hans-Peter Kriegel, Xiaowei Xu:
Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification.
SSD 1995: 67-82

- [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

- [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)

- [20]
- Marti A. Hearst, Jan O. Pedersen:
Reexamining the Cluster Hypothesis: Scatter/Gather on Retrieval Results.
SIGIR 1996: 76-84

- [21]
- Anil K. Jain, Richard C. Dubes:
Algorithms for Clustering Data.
Prentice-Hall 1988

- [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

- [23]
- Ron Kohavi, Dan Sommerfield:
Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology.
KDD 1995: 192-197

- [24]
- Bruce Krulwich, Chad Burkey:
The ContactFinder Agent: Answering Bulletin Board Questions with Referrals.
AAAI/IAAI, Vol. 1 1996: 10-15

- [25]
- Ken Lang:
NewsWeeder: Learning to Filter Netnews.
ICML 1995: 331-339

- [26]
- Manish Mehta, Rakesh Agrawal, Jorma Rissanen:
SLIQ: A Fast Scalable Classifier for Data Mining.
EDBT 1996: 18-32

- [27]
- Raymond T. Ng, Jiawei Han:
Efficient and Effective Clustering Methods for Spatial Data Mining.
VLDB 1994: 144-155

- [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)

- [29]
- J. Ross Quinlan:
Induction of Decision Trees.
Machine Learning 1(1): 81-106(1986)

- [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

- [32]
- Paul Resnick, Hal R. Varian:
Recommender Systems - Introduction to the Special Section.
Commun. ACM 40(3): 56-58(1997)

- [33]
- Gerard Salton:
Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer.
Addison-Wesley 1989, ISBN 0-201-12227-8

- [34]
- Thomas Seidl, Hans-Peter Kriegel:
Optimal Multi-Step k-Nearest Neighbor Search.
SIGMOD Conference 1998: 154-165

- [35]
- Upendra Shardanand, Pattie Maes:
Social Information Filtering: Algorithms for Automating "Word of Mouth".
CHI 1995: 210-217

- [36]
- John C. Shafer, Rakesh Agrawal, Manish Mehta:
SPRINT: A Scalable Parallel Classifier for Data Mining.
VLDB 1996: 544-555

- [37]
- Ramakrishnan Srikant, Rakesh Agrawal:
Mining Generalized Association Rules.
VLDB 1995: 407-419

- [38]
- Ramakrishnan Srikant, Rakesh Agrawal:
Mining Quantitative Association Rules in Large Relational Tables.
SIGMOD Conference 1996: 1-12

- [39]
- Tian Zhang, Raghu Ramakrishnan, Miron Livny:
BIRCH: An Efficient Data Clustering Method for Very Large Databases.
SIGMOD Conference 1996: 103-114

Copyright © Mon Nov 2 20:28:53 2009
by Michael Ley (ley@uni-trier.de)