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DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
15 years 7 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
135
Voted
PR
2008
117views more  PR 2008»
15 years 3 months ago
A scale-free distribution of false positives for a large class of audio similarity measures
The "bag-of-frames" approach (BOF) to audio pattern recognition models signals as the long-term statistical distribution of their local spectral features, a prototypical...
Jean-Julien Aucouturier, François Pachet
ICDE
2006
IEEE
156views Database» more  ICDE 2006»
16 years 5 months ago
What's Different: Distributed, Continuous Monitoring of Duplicate-Resilient Aggregates on Data Streams
Emerging applications in sensor systems and network-wide IP traffic analysis present many technical challenges. They need distributed monitoring and continuous tracking of events....
Graham Cormode, S. Muthukrishnan, Wei Zhuang
ICDE
2004
IEEE
120views Database» more  ICDE 2004»
16 years 5 months ago
Algebraic Signatures for Scalable Distributed Data Structures
Signatures detect changes to the data objects. Numerous schemes a known, e.g., the popular hash based SHA-1 standard. We propose a nov scheme we call algebraic signatures. We use ...
Witold Litwin, Thomas J. E. Schwarz
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
16 years 4 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...