This is a preview of subscription content, log in via an institution to check access.
References
Hu, J. and Zhong, N. Organizing multiple data sources for developing intelligent e-business portals. Data Mining and Knowledge Discovery, in this issue.
Kum, H., Chang, J., and Wang, W. sequential pattern mining in multi-databases via multiple alignment. Data Mining and Knowledge Discovery, in this issue.
Ling, C. and Yang, Q. Discovering classification from data of multiple sources. Data Mining and Knowledge Discovery, in this issue.
Otey, M., Ghoting, A., and Parthasarathy, S. Fast distributed outlier detection in mixed-attribute data sets. Data Mining and Knowledge Discovery, in this issue.
Yang, Q., Xue, G., Shen, D., Zeng, H., Yu, Y., and Chen, Z. Reinforcing web-object categorization through interrelationships. Data Mining and Knowledge Discovery, in this issue.
Yan, J., Liu, N., Yang, Q., Zhang, B., Chen, Q., and Chen, Z. Mining adaptive ratio rules from distributed data sources, in this issue.
Zhang,S., Zhang, C., and Wu, X. 2004. Knowledge discovery in multiple databases. Springer, ISBN: 1‐85233-703-6, p. 233.
Zhong, N., Yao, Y., and Liu, C. Relational Peculiarity Oriented Mining, in this issue.
Zhu, X. and Wu, X. Bridging local and global data cleansing: Identifying class noise in large, distributed data datasets. Data Mining and Knowledge Discovery, in this issue.
Author information
Authors and Affiliations
Corresponding author
Additional information
Shichao Zhang: is a senior research fellow in the Faculty of Information Technology at UTS, Australia, and a chair professor of Automatic Control at BUAA, China. He received his PhD degree in computer science from Deakin University, Australia. His research interests include data analysis and smart pattern discovery. He has published about 35 international journal papers, including 6 in IEEE/ACM Transactions, 2 in Information Systems, 6 in IEEE magazines; and over 40 international conference papers, including 2 ICML papers and 3 FUZZ-IEEE/AAMAS papers. He has won 4 China NSF/863 grants, 2 Australian large ARC grants and 2 Australian small ARC grants. He is a senior member of the IEEE, a member of the ACM, and serving as an associate editor for Knowledge and Information Systems, and The IEEE Intelligent Informatics Bulletin.
Mohammed J. Zaki: is an Associate Professor of Computer Science at RPI. He received his Ph.D. degree in computer science from the University of Rochester in 1998. His research interests focus on developing novel data mining techniques for bioinformatics, performance mining, web mining, and so on. He has published over 100 papers on data mining, co-edited 11 books (including “Data Mining in Bioinformatics, Springer-London, 2005), served as guest-editor for several journals, served on the program committees of major international conferences, and co-chaired many workshops (BIOKDD, HPDM, DMKD) in data mining. He is currently an associate editor for IEEE Transactions on Knowledge and Data Engineering, action editor for Data Mining and Knowledge Discovery: An Int'l Journal, and editor for Scientific Programming, Int'l Journal of Data Mining and Bioinformatics, Int'l Journal of Data Warehousing and Mining, Int'l Journal of Computational Intelligence, and ACM SIGMOD Digital Symposium Collection. He received the National Science Foundation CAREER Award in 2001 and the Department of Energy Early Career Principal Investigator Award in 2002. He also received the ACM Recognition of Service Award in 2003, and the IEEE Certificate of Appreciation in 2005.
Rights and permissions
About this article
Cite this article
Zhang, S., Zaki, M.J. Mining Multiple Data Sources: Local Pattern Analysis. Data Min Knowl Disc 12, 121–125 (2006). https://doi.org/10.1007/s10618-006-0041-y
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10618-006-0041-y