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» When to Update the sequential patterns of stream data
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ISVC
2010
Springer
13 years 5 months ago
Visual Exploration of Stream Pattern Changes Using a Data-Driven Framework
Abstract. When using visualization techniques to explore data streams, an important task is to convey pattern changes. Challenges include: (1) Most data analysis tasks require user...
Zaixian Xie, Matthew O. Ward, Elke A. Rundensteine...
DEXA
2006
Springer
121views Database» more  DEXA 2006»
13 years 10 months ago
DCF: An Efficient Data Stream Clustering Framework for Streaming Applications
Streaming applications, such as environment monitoring and vehicle location tracking require handling high volumes of continuously arriving data and sudden fluctuations in these vo...
Kyungmin Cho, SungJae Jo, Hyukjae Jang, Su Myeon K...
EUROSYS
2007
ACM
14 years 3 months ago
Competitive prefetching for concurrent sequential I/O
During concurrent I/O workloads, sequential access to one I/O stream can be interrupted by accesses to other streams in the system. Frequent switching between multiple sequential ...
Chuanpeng Li, Kai Shen, Athanasios E. Papathanasio...
SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
14 years 3 months ago
Mining Complex Spatio-Temporal Sequence Patterns.
Mining sequential movement patterns describing group behaviour in potentially streaming spatio-temporal data sets is a challenging problem. Movements are typically noisy and often...
Florian Verhein
APPT
2005
Springer
14 years 8 days ago
Principal Component Analysis for Distributed Data Sets with Updating
Identifying the patterns of large data sets is a key requirement in data mining. A powerful technique for this purpose is the principal component analysis (PCA). PCA-based clusteri...
Zheng-Jian Bai, Raymond H. Chan, Franklin T. Luk