Shichao Zhang, Xindong Wu and Chengqi Zhang  Home/Search
Context Related
Links: DBLP | hkbu.edu.hk/~iib/2...l2no1_article1.pdf Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
Image Update HelpPS.gz PS PDF From: hkbu.edu.hk/~iib/issues (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: Multi-database mining is an important research area because (1) there is an urgent need for analyzing data in different sources, (2) there are essential differences between mono- and multi-database mining, and (3) there are limitations in existing multi-database mining efforts. This paper designs a new multidatabase mining process. Some research issues involving mining multi-databases, including database clustering and local pattern analysis, are discussed. (Update)
Cited by: More
Reinforcing Web-object Categorization through Interrelationships - Xue, Al. (2006) (Correct)
Active bibliography (related documents): More All
3.7: Multi-Database Mining - Zhang, Wu, Zhang (2003) (Correct)
1.9: Identifying Global Exceptional Patterns in - Multi-Database Mining Chengqi (2004) (Correct)
0.4: Distributed Data Mining Bibliography - Hillol (Correct)
Similar documents based on text: More All
0.4: IMC: A Method for Interval Calculus in Matrix - Zhang, Zhang (Correct)
0.2: Unknown - Intelligent Informatics Bulletin (2005) (Correct)
0.2: Towards Multidatabase Mining: Identifying Relevant Databases - Huan Liu Hongjun (Correct)
BibTeX entry: (Update)
Zhang, S.C., Wu, X.D., and Zhang, C.Q. 2003. Multi-database mining. IEEE Computational Intelligence Bulletin, Vol. 2 No. 1, IEEE Computer Society, pp. 5--13. http://citeseer.ist.psu.edu/zhang03multidatabase.html More
@misc{ zhang03multidatabase,
author = "S. Zhang and X. Wu and C. Zhang",
title = "Multi-database mining",
text = "Zhang, S.C., Wu, X.D., and Zhang, C.Q. 2003. Multi-database mining. IEEE
Computational Intelligence Bulletin, Vol. 2 No. 1, IEEE Computer Society,
pp. 5--13.",
year = "2003",
url = "citeseer.ist.psu.edu/zhang03multidatabase.html" }
Citations (may not include all citations):367 Stacked Generalization - Wolpert - 1992 ACM
249 Mining Frequent Patterns without Candidate Generation - Han, Pei et al. - 2000 ACM DBLP
115 Scalable Parallel Data Mining for association rules - Han, Karypis et al. - 1997 ACM DBLP
106 Maintenance of discovered association rules in large databas.. - Cheung, Han et al. - 1996 DBLP
100 Database mining: A performance perspective - Agrawal, Imielinski et al. - 1993 DBLP
61 An algorithm for multi-relational discovery of subgroups - Wrobel - 1997 ACM DBLP
34 Meta-learning in distributed data mining systems: Issues and.. - Prodromidis, Chan et al. - 2000
30 Efficient Mining of Association Rules in Distributed Databas.. - Cheung, Ng et al. - 1996 ACM DBLP
28 An Extensible Meta-Learning Approach for Scalable and Accura.. - Chan - 1996 ACM
21 Multidatabase systems: an advanced solution for global infor.. (context) - Hurson, Bright et al. - 1994
19 Knowledge discovery from multiple databases (context) - Ribeiro, Kaufman et al. - 1995 DBLP
17 Pruning meta-classifiers in a distributed data mining system - Prodromidis, Stolfo - 1998
16 The preliminary design of Papyrus: A system for high perform.. - Grossman, Bailey et al. - 2000
15 The WoRLD: Knowledge discovery from multiple distributed dat.. - Aronis - 1997
14 Memory placement techniques for parallel association mining - Parthasarathy, Zaki et al. - 1998 DBLP
14 Parallel mining algorithms for generalized association patte.. - Shintani, Kitsuregawa - 1998
13 Distributed clustering using collective principal component .. - Kargupta, Huang et al. - 2001 ACM DBLP
13 Efficient search for association rules - Webb - 2000 ACM DBLP
9 Large scale data mining: challenges and responses (context) - Chattratichat - 1997 DBLP
9 Identifying Relevant Databases for Multidatabase Mining - Liu, Lu et al. - 1998 ACM DBLP
8 Searching Multiple Databases for Interesting Complexes (context) - Yao, Liu - 1997
7 A framework for finding distributed data mining strategies t.. - Turinsky, Grossman - 2000
6 Mining Both Positive and Negative Association Rules (context) - Wu, Zhang et al. - 2002 ACM DBLP
6 Peculiarity oriented multi-database mining (context) - Zhong, Yao et al. - 1999 ACM DBLP
5 Synthesizing High-Frequency Rules from Different Data Source.. (context) - Wu, Zhang - 2003 ACM DBLP
5 Theoretical Foundations of Schema Restructuring in Heterogen.. - Albert - 2000 ACM DBLP
4 Shafer: Parallel mining of association rules (context) - Agrawal - 1996
4 Yu: Efficient Parallel and Data Mining for Association Rules (context) - Park, Chen - 1995
4 Collective Principal Component Analysis from Distributed (context) - Kargupta, Huang et al. - 2000
2 Association Rules Mining: Models and Algorithms (context) - Zhang, Zhang - 2002
2 Knowledge discovery in multi-databases by analyzing local in.. (context) - Zhang - 2001
Documents on the same site (http://www.comp.hkbu.edu.hk/~iib/issues.html): More
Web-log Mining for Quantitative Temporal-Event Prediction - Yang, Wang, Zhang (2002) (Correct)
Mercure: Towards an Automatic E-mail Follow-up - System Guy Lapalme (2003) (Correct)
Web-Based Semantic Pervasive Computing Services - Lee, Chun, Geller (2004) (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC