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FQAS
2004
Springer
146views Database» more  FQAS 2004»
13 years 8 months ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina
IJACTAICIT
2010
120views more  IJACTAICIT 2010»
13 years 1 months ago
Representing Image Search Performance Using Time Series Models
Image search engines tend to return a large number of images which the engines consider to be relevant, and such pool of results generally is very large and may be regarded to be ...
Xiaoling Wang, Clement. H. C. Leung
CCGRID
2010
IEEE
13 years 4 months ago
Discovering Piecewise Linear Models of Grid Workload
—Despite extensive research focused on enabling QoS for grid users through economic and intelligent resource provisioning, no consensus has emerged on the most promising strategi...
Tamás Éltetö, Cécile Ger...
DEXA
1998
Springer
124views Database» more  DEXA 1998»
13 years 8 months ago
Indexing Time-Series Databases for Inverse Queries
Abstract. In this paper we examine the problem of indexing time sequences in order to answer inverse queries. An inverse query computes all the time points at which the sequence co...
Alexandros Nanopoulos, Yannis Manolopoulos
DASFAA
2008
IEEE
150views Database» more  DASFAA 2008»
13 years 11 months ago
Approximate Clustering of Time Series Using Compact Model-Based Descriptions
Clustering time series is usually limited by the fact that the length of the time series has a significantly negative influence on the runtime. On the other hand, approximative c...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...