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PVLDB
2008
107views more  PVLDB 2008»
15 years 6 months ago
Finding relevant patterns in bursty sequences
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...
Alexander Lachmann, Mirek Riedewald
INFOCOM
1999
IEEE
15 years 11 months ago
An Architecture for Noncooperative QoS Provision in Many-Switch Systems
With the proliferation of high-speed networks and networked services, provisioning differentiated services to a diverse user base with heterogeneous QoS requirements has become an ...
Shaogang Chen, Kihong Park
ICDE
2006
IEEE
133views Database» more  ICDE 2006»
16 years 8 months ago
ViEWNet: Visual Exploration of Region-Wide Traffic Networks
Location-based services and data mining algorithms analyzing objects moving on a complex traffic network are becoming increasingly important. In this paper, we introduce a new app...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
PKDD
2007
Springer
132views Data Mining» more  PKDD 2007»
16 years 21 days ago
An Algorithm to Find Overlapping Community Structure in Networks
Recent years have seen the development of many graph clustering algorithms, which can identify community structure in networks. The vast majority of these only find disjoint commun...
Steve Gregory
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 7 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...