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» Evaluating algorithms that learn from data streams
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242
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ICDE
2008
IEEE
209views Database» more  ICDE 2008»
16 years 5 months ago
Distributed Monitoring of Peer-to-Peer Systems
In this paper, we are concerned with the distributed monitoring of P2P systems. We introduce the P2P Monitor system and a new declarative language, namely P2PML, for specifying mo...
Serge Abiteboul, Bogdan Marinoiu, Pierre Bourhis
122
Voted
CIARP
2008
Springer
15 years 6 months ago
Learning and Forgetting with Local Information of New Objects
The performance of supervised learners depends on the presence of a relatively large labeled sample. This paper proposes an automatic ongoing learning system, which is able to inco...
Fernando Vázquez, José Salvador S&aa...
MLDM
2007
Springer
15 years 10 months ago
Mining Frequent Trajectories of Moving Objects for Location Prediction
Advances in wireless and mobile technology flood us with amounts of moving object data that preclude all means of manual data processing. The volume of data gathered from position...
Mikolaj Morzy
AIIA
2001
Springer
15 years 8 months ago
A Knowledge-Based Neurocomputing Approach to Extract Refined Linguistic Rules from Data
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
Giovanna Castellano, Anna Maria Fanelli
171
Voted
MMDB
2003
ACM
178views Multimedia» more  MMDB 2003»
15 years 9 months ago
Video query processing in the VDBMS testbed for video database research
The increased use of video data sets for multimedia-based applications has created a demand for strong video database support, including efficient methods for handling the content...
Walid G. Aref, Moustafa A. Hammad, Ann Christine C...