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ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
13 years 6 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
SNPD
2003
13 years 10 months ago
Incomplete Information Processing for Optimization of Distributed Applications
This paper focuses on non-strict processing, optimization, and partial evaluation of MPI programs which use incremental data structures (ISs). We describe the design and implement...
Alfredo Cristóbal-Salas, Andrei Tchernykh, ...
ICML
2007
IEEE
14 years 9 months ago
Adaptive dimension reduction using discriminant analysis and K-means clustering
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
Chris H. Q. Ding, Tao Li
ICSE
2004
IEEE-ACM
14 years 8 months ago
A Hybrid Architectural Style for Distributed Parallel Processing of Generic Data Streams
Immersive, interactive applications grouped under the concept of Immersipresence require on-line processing and mixing of multimedia data streams and structures. One critical issu...
Alexandre R. J. François
ATAL
2004
Springer
14 years 2 months ago
Agents Swarming in Semantic Spaces to Corroborate Hypotheses
To anticipate and prevent acts of terrorism, Indications and Warnings analysts try to connect clues gleaned from massive quantities of complex data. Multi-agent approaches to supp...
Peter Weinstein, H. Van Dyke Parunak, Paul Chiusan...