Technical Reports (Computing Science)
Technical Reports Collection
Items in this Collection
- 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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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...
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2008
Zaiane, Osmar, Chu, Ben, Enright, Jessica
Technical report TR08-12. Computer tools for education, particularly those that allow a learner to work through many examples of a problematic type of exercise, can be helpful to that learner's understanding. Functional dependencies and their use in finding candidate keys are an area with...
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2001
Technical report TR01-05. Web-based technology is often the technology of choice for distance education given the ease of use of the tools to browse the resources on the Web, the relative affordability of accessing the ubiquitous Web, and the simplicity of deploying and maintaining resources on...
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2006
We present a distribution-based and transformation-based approach to synthetic data generation and demonstrate that the approach is very efficient in generating different types of multi-dimensional numerical datasets for data clustering and outlier analysis. We developed a data generating system...