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» Mining evolving data streams for frequent patterns
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KDD
2010
ACM
247views Data Mining» more  KDD 2010»
14 years 11 months ago
Metric forensics: a multi-level approach for mining volatile graphs
Advances in data collection and storage capacity have made it increasingly possible to collect highly volatile graph data for analysis. Existing graph analysis techniques are not ...
Keith Henderson, Tina Eliassi-Rad, Christos Falout...
80
Voted
KES
2009
Springer
15 years 4 months ago
A Platform for Extracting and Storing Web Data
The web data or data originated on the Web contain information and knowledge which allows improving web site efficiency and effectiveness to attract and retain visitors. However, w...
L. Víctor Rebolledo, Juan D. Velásqu...
LWA
2007
14 years 11 months ago
Incremental Mining for Facility Management
Modern buildings are equipped with high-tech systems that take care of several fundamental aspects, e.g., air-conditioning, heating and water supply. The requirements posed on fac...
Katja Hose, Marcel Karnstedt, Daniel Klan, Kai-Uwe...
IDA
2009
Springer
14 years 7 months ago
Mining the Temporal Dimension of the Information Propagation
In the last decade, Social Network Analysis has been a field in which the effort devoted from several researchers in the Data Mining area has increased very fast. Among the possibl...
Michele Berlingerio, Michele Coscia, Fosca Giannot...
ICDE
2010
IEEE
177views Database» more  ICDE 2010»
15 years 4 months ago
Optimal load shedding with aggregates and mining queries
— To cope with bursty arrivals of high-volume data, a DSMS has to shed load while minimizing the degradation of Quality of Service (QoS). In this paper, we show that this problem...
Barzan Mozafari, Carlo Zaniolo