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Skip to Search Results- 7Oliveira, Stanley
- 5Sander, Joerg
- 5Zaiane, Osmar
- 4Nascimento, Mario
- 2Coman, Alexandru
- 2Moise, Gabriela
- 3Database Systems
- 2Sensor networks
- 1Artifactual Patterns
- 1Clustering algorithms
- 1Collection Fusion
- 1Communication Networks
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2002
Rafiei, Davood, Oliveira, Stanley
Technical report TR02-11. Various query languages have been proposed for XML, some inspired by database query languages (e.g. SQL and OQL) and others introduced by documents community. To fulfill its role of a standardization body,W3C has identified a number of requirements for XML query...
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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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A Unified Framework for Searching Multiple Compressed Collections
2001
Nascimento, Mario, Oliveira, Stanley
Technical report TR01-17. In this work, we propose a new framework for searching directly through multiple compressed collections. We combine, in a single framework, four techniques for efficient, low-overhead text retrieval: inverted index compression, block addressing, sequential searching in...
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2006
Nascimento, Mario, Coman, Alexandru, Sander, Joerg
Technical report TR06-24. Wireless sensor networks have received much attention recently. Given their autonomy, flexibility and large range of functionality, they can be used as an effective and discrete means for monitoring data in many domains. Typically the network autonomy implies a limited...
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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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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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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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Finding non-Redundant, Statistically Significant Regions in High Dimensional Data: a Novel Approach to Projected and Subspace Clustering
Download2008
Moise, Gabriela, Sander, Joerg
Technical report TR08-03. Projected and subspace clustering algorithms search for clusters of objects in subsets of attributes. Projected clustering computes several disjoint clusters, plus outliers, so that each cluster exists in its own subset of attributes. Subspace clustering enumerates...
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2004
Sander, Joerg, Moise, Gabriela, Rafiei, Davood
Technical report TR04-24. This thesis studies the problem of effectively finding related pages on the Web, where given the URL of a page, one wants to find other pages that are on the same topic. This is a both simple and natural way of searching for resources without being forced to formulate a...
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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...