Sciweavers

941 search results - page 17 / 189
» Adaptive Learning from Evolving Data Streams
Sort
View
ICDE
2006
IEEE
285views Database» more  ICDE 2006»
16 years 4 months ago
An Approach to Adaptive Memory Management in Data Stream Systems
Adaptivity is a challenging open issue in data stream management. In this paper, we tackle the problem of memory adaptivity inside a system executing temporal sliding window queri...
Bernhard Seeger, Jürgen Krämer, Michael ...
DKE
2007
153views more  DKE 2007»
15 years 3 months ago
Adaptive similarity search in streaming time series with sliding windows
The challenge in a database of evolving time series is to provide efficient algorithms and access methods for query processing, taking into consideration the fact that the databas...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
153
Voted
KDD
2008
ACM
239views Data Mining» more  KDD 2008»
16 years 3 months ago
Mining adaptively frequent closed unlabeled rooted trees in data streams
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
Albert Bifet, Ricard Gavaldà
SWAP
2008
15 years 4 months ago
Learning SHIQ+log Rules for Ontology Evolution
The definition of new concepts or roles for which extensional knowledge become available can turn out to be necessary to make a DL ontology evolve. In this paper we reformulate thi...
Francesca A. Lisi, Floriana Esposito
SSDBM
2007
IEEE
212views Database» more  SSDBM 2007»
15 years 9 months ago
Adaptive-Size Reservoir Sampling over Data Streams
Reservoir sampling is a well-known technique for sequential random sampling over data streams. Conventional reservoir sampling assumes a fixed-size reservoir. There are situation...
Mohammed Al-Kateb, Byung Suk Lee, Xiaoyang Sean Wa...