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ICAC
2005
IEEE
13 years 10 months ago
Distributed Stream Management using Utility-Driven Self-Adaptive Middleware
We consider pervasive computing applications that process and aggregate data-streams emanating from highly distributed data sources to produce a stream of updates that have an imp...
Vibhore Kumar, Brian F. Cooper, Karsten Schwan
ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
13 years 2 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...
GECCO
2004
Springer
102views Optimization» more  GECCO 2004»
13 years 10 months ago
Dynamic and Scalable Evolutionary Data Mining: An Approach Based on a Self-Adaptive Multiple Expression Mechanism
Data mining has recently attracted attention as a set of efficient techniques that can discover patterns from huge data. More recent advancements in collecting massive evolving da...
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
IPPS
2006
IEEE
13 years 11 months ago
Supporting self-adaptation in streaming data mining applications
There are many application classes where the users are flexible with respect to the output quality. At the same time, there are other constraints, such as the need for real-time ...
Liang Chen, Gagan Agrawal
EDBT
2008
ACM
206views Database» more  EDBT 2008»
14 years 5 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo