Sciweavers

583 search results - page 70 / 117
» Mining evolving data streams for frequent patterns
Sort
View
PKDD
2010
Springer
155views Data Mining» more  PKDD 2010»
14 years 8 months ago
Latent Structure Pattern Mining
Pattern mining methods for graph data have largely been restricted to ground features, such as frequent or correlated subgraphs. Kazius et al. have demonstrated the use of elaborat...
Andreas Maunz, Christoph Helma, Tobias Cramer, Ste...
PAKDD
2007
ACM
115views Data Mining» more  PAKDD 2007»
15 years 3 months ago
Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB
The shear volume of the results in traditional support based frequent sequential pattern mining methods has led to increasing interest in new intelligent mining methods to find mo...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
DEXAW
2005
IEEE
96views Database» more  DEXAW 2005»
15 years 3 months ago
Mining Complex Patterns from Protein Surfaces
In the domain of bioinformatics, the role played in the biological process by proteins, that act as transmitters and receivers of information thus ruling the mechanisms that deter...
Lorenzo Baldacci, Matteo Golfarelli
EDBT
2004
ACM
110views Database» more  EDBT 2004»
15 years 9 months ago
Using Convolution to Mine Obscure Periodic Patterns in One Pass
The mining of periodic patterns in time series databases is an interesting data mining problem that can be envisioned as a tool for forecasting and predicting the future behavior o...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
SDM
2009
SIAM
164views Data Mining» more  SDM 2009»
15 years 7 months ago
Time-Decayed Correlated Aggregates over Data Streams.
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
Graham Cormode, Srikanta Tirthapura, Bojian Xu