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» Evaluating algorithms that learn from data streams
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CIKM
2006
Springer
15 years 10 months ago
Amnesic online synopses for moving objects
We present a hierarchical tree structure for online maintenance of time-decaying synopses over streaming data. We exemplify such an amnesic behavior over streams of locations take...
Michalis Potamias, Kostas Patroumpas, Timos K. Sel...
SIGMOD
2005
ACM
118views Database» more  SIGMOD 2005»
16 years 6 months ago
RPJ: Producing Fast Join Results on Streams through Rate-based Optimization
We consider the problem of "progressively" joining relations whose records are continuously retrieved from remote sources through an unstable network that may incur temp...
Yufei Tao, Man Lung Yiu, Dimitris Papadias, Marios...
CIKM
2008
Springer
15 years 8 months ago
Ranking information resources in peer-to-peer text retrieval: an experimental study
This paper experimentally studies approaches to the problem of ranking information resources w.r.t. user queries in peer-to-peer information retrieval. In distributed environments...
Hans F. Witschel
MICAI
2005
Springer
15 years 12 months ago
Modelling Human Intelligence: A Learning Mechanism
We propose a novel, high-level model of human learning and cognition, based on association forming. The model configures any input data stream featuring a high incidence of repeti...
Enrique Carlos Segura, Robin W. Whitty
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 6 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...