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Skip to Search Results- 20Zaiane, Osmar
- 5Oliveira, Stanley
- 2Antonie, Maria-Luiza
- 2El-Hajj, Mohammad
- 2Foss, Andrew
- 2Wang, Weinan
- 19Computing Science, Department of
- 19Computing Science, Department of/Technical Reports (Computing Science)
- 1Graduate and Postdoctoral Studies (GPS), Faculty of
- 1Graduate and Postdoctoral Studies (GPS), Faculty of /Theses and Dissertations
- 1Pediatrics, Department of
- 1Pediatrics, Department of/Environmental Health
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2001
Technical report TR01-06. We are so used to the ubiquitous World-Wide Web (WWW) that we take it for granted. There is no need to emphasize how dynamic, large, rich, and unstructured, yet important the Web is. From researchers and engineers to children and retired elderly, everyone uses the WWW...
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An Efficient One-Scan Sanitization For Improving The Balance Between Privacy And Knowledge Discovery
Download2003
Oliveira, Stanley, Zaiane, Osmar
Technical report TR03-15. In this paper, we address the problem of protecting some sensitive knowledge in transactional databases. The challenge is on protecting actionable knowledge for strategic decisions, but at the same time not losing the great benefit of association rule mining. To...
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2010
Lin, Guohui, Shi, Xiaoyu, Hu, Yu, Zeng, Dahua, Zaiane, Osmar
Technical report TR10-04. This paper describes a novel and fast placement algorithm for field programmable gate array (FPGA) design space exploration. The proposed algorithm generates the placement based on the topological similarity between two configurations (netlists) in the design space....
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Inverted Matrix: Efficient Discovery of Frequent Items in Large Datasets in the Context of Interactive Mining
Download2003
El-Hajj, Mohammad, Zaiane, Osmar
Technical report TR03-08. Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. One major problem is the high memory dependency: either the gigantic data structure built is assumed to fit in main memory, or the recursive mining process...
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2001
Antonie, Maria-Luiza, Zaiane, Osmar
Technical report TR01-04. Discriminating between text articles and automatically classifying documents is an essential task for many applications. With the prevalence of digital documents and the wide use of e-mail and web documents, text categorization is regaining interest and is becoming a...
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2004
Oliveira, Stanley, Zaiane, Osmar
Technical report TR04-17. Preserving privacy of individuals when data are shared for clustering is a complex problem. The challenge is how to protect the underlying attribute values subjected to clustering without jeopardizing the similarity between data objects under analysis. To address this...
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2003
Oliveira, Stanley, Zaiane, Osmar
Technical report TR03-12. Despite its benefit in a wide range of applications, data mining techniques also have raised a number of ethical issues. Some such issues include those of privacy, data security, intellectual property rights, and many others. In this paper, we address the privacy problem...
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2002
Lee, Chi-Hoon, Foss, Andrew, Zaiane, Osmar, Wang, Weinan
Technical report TR02-03. Clustering is the problem of grouping data based on similarity and consists of maximizing the intra-group similarity while minimizing the iter-group similarity. While this problem has attracted the attention of many researchers for many years, we are witnessing a...
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2007
Yacef, Kalina, Zaiane, Osmar, Kay, Judy
Technical report TR07-03. Comparing groups or sets is the main focal issue in statistics, and data mining research has also focused on automatically identifying values and instances that differ significantly across groups, known as contrast sets. Whether traditional statistics or the work on...