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» Data Level Inference Detection in Database Systems
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KDD
2003
ACM
120views Data Mining» more  KDD 2003»
16 years 1 months ago
On detecting differences between groups
Understanding the differences between contrasting groups is a fundamental task in data analysis. This realization has led to the development of a new special purpose data mining t...
Geoffrey I. Webb, Shane M. Butler, Douglas A. Newl...
98
Voted
BMCBI
2006
129views more  BMCBI 2006»
15 years 20 days ago
EGenBio: A Data Management System for Evolutionary Genomics and Biodiversity
Background: Evolutionary genomics requires management and filtering of large numbers of diverse genomic sequences for accurate analysis and inference on evolutionary processes of ...
Laila A. Nahum, Matthew T. Reynolds, Zhengyuan O. ...
124
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CLEAR
2007
Springer
195views Biometrics» more  CLEAR 2007»
15 years 6 months ago
Multi-level Particle Filter Fusion of Features and Cues for Audio-Visual Person Tracking
In this paper, two multimodal systems for the tracking of multiple users in smart environments are presented. The first is a multiview particle filter tracker using foreground, c...
Keni Bernardin, Tobias Gehrig, Rainer Stiefelhagen
97
Voted
GLOBECOM
2008
IEEE
15 years 7 months ago
Friendly P2P: Application-Level Congestion Control for Peer-to-Peer Applications
Abstract—Peer-to-Peer (P2P) file sharing applications use multiple TCP connections between peers to transfer data. The aggressiveness and robustness of P2P technology remarkably...
YaNing Liu, Hongbo Wang, Yu Lin, Shiduan Cheng, Gw...
PVLDB
2008
111views more  PVLDB 2008»
15 years 3 days ago
Semandaq: a data quality system based on conditional functional dependencies
We present SEMANDAQ, a prototype system for improving the quality of relational data. Based on the recently proposed conditional functional dependencies (CFDs), it detects and rep...
Wenfei Fan, Floris Geerts, Xibei Jia