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Skip to Search Results- 19Zaiane, Osmar
- 5Oliveira, Stanley
- 2Antonie, Maria-Luiza
- 2El-Hajj, Mohammad
- 2Wang, Weinan
- 1Ammoura, Ayman
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2002
Oliveira, Stanley, Zaiane, Osmar
Technical report TR02-13. Discovering hidden patterns from large amounts of data plays an important role in marketing, business, medical analysis, and other applications where these patterns are paramount for strategic decision making. However, recent research has shown that some discovered...
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2002
Zaiane, Osmar, Nascimento, Mario, Oliveira, Stanley
Technical report TR02-01. Research in information hiding has grown explosively. A large number of techniques have been proposed to discourage copyright infringement, tampering and unauthorized distribution of digital media (e.g. video, audio, and images). In this paper, we provide an overview of...
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2004
Antonie, Maria-Luiza, Zaiane, Osmar
Technical report TR04-07. Typical association rules consider only items enumerated in transactions. Such rules are referred to as positive association rules. Negative association rules also consider the same items, but in addition consider negated items (i.e. absent from transactions). Negative...
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2001
Lu, Paul, El-Hajj, Mohammad, Zaiane, Osmar
Technical report TR01-12. Searching for frequent patterns in transactional databases is considered one of the most important data mining problems. Most current association mining algorithms, whether sequential or parallel, adopt an apriori-like algorithm that requires full multiple I/O scans of...
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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
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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
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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...