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ICDM
2006
IEEE
227views Data Mining» more  ICDM 2006»
14 years 4 months ago
Incremental Mining of Sequential Patterns over a Stream Sliding Window
Incremental mining of sequential patterns from data streams is one of the most challenging problems in mining data streams. However, previous work of mining sequential patterns fr...
Chin-Chuan Ho, Hua-Fu Li, Fang-Fei Kuo, Suh-Yin Le...
SPAA
2006
ACM
14 years 4 months ago
Astronomical real-time streaming signal processing on a Blue Gene/L supercomputer
LOFAR is the first of a new generation of radio telescopes, that combines the signals from many thousands of simple, fixed antennas, rather than from expensive dishes. Its revol...
John W. Romein, P. Chris Broekema, Ellen van Meije...
KDD
2006
ACM
112views Data Mining» more  KDD 2006»
14 years 10 months ago
K-means clustering versus validation measures: a data distribution perspective
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
Hui Xiong, Junjie Wu, Jian Chen
CLUSTER
2005
IEEE
14 years 3 months ago
Load Balancing using Grid-based Peer-to-Peer Parallel I/O
In the area of Grid computing, there is a growing need to process large amounts of data. To support this trend, we need to develop efficient parallel storage systems that can prov...
Yijian Wang, David R. Kaeli
SEMWEB
2010
Springer
13 years 8 months ago
Enabling Ontology-Based Access to Streaming Data Sources
The availability of streaming data sources is progressively increasing thanks to the development of ubiquitous data capturing technologies such as sensor networks. The heterogeneit...
Jean-Paul Calbimonte, Óscar Corcho, Alasdai...