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» Adaptive Learning from Evolving Data Streams
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SIGMOD
2009
ACM
138views Database» more  SIGMOD 2009»
16 years 3 months ago
PRIMA: archiving and querying historical data with evolving schemas
Schema evolution poses serious challenges in historical data management. Traditionally historical data have been archived either by (i) migrating them into the current schema vers...
Hyun J. Moon, Carlo Curino, MyungWon Ham, Carlo Za...
118
Voted
IPPS
2006
IEEE
15 years 9 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
141
Voted
DAWAK
2008
Springer
15 years 5 months ago
Summarizing Distributed Data Streams for Storage in Data Warehouses
Data warehouses are increasingly supplied with data produced by a large number of distributed sensors in many applications: medicine, military, road traffic, weather forecast, util...
Raja Chiky, Georges Hébrail
136
Voted
ECAL
2007
Springer
15 years 7 months ago
Genotype Reuse More Important than Genotype Size in Evolvability of Embodied Neural Networks
odel of Embodiment on Abstract Systems: from Hierarchy to Heterarchy Kohei Nakajima, Soya Shinkai, Takashi Ikegami A Behavior-Based Model of the Hydra, Phylum Cnidaria Malin Aktius...
Chad W. Seys, Randall D. Beer
DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
15 years 4 months ago
A Test Paradigm for Detecting Changes in Transactional Data Streams
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
Willie Ng, Manoranjan Dash