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KDD
2005
ACM
103views Data Mining» more  KDD 2005»
16 years 4 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
16 years 1 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel
ALT
2008
Springer
16 years 1 months ago
Optimally Learning Social Networks with Activations and Suppressions
In this paper we consider the problem of learning hidden independent cascade social networks using exact value injection queries. These queries involve activating and suppressing a...
Dana Angluin, James Aspnes, Lev Reyzin
MDM
2009
Springer
123views Communications» more  MDM 2009»
15 years 10 months ago
Operator Placement for Snapshot Multi-predicate Queries in Wireless Sensor Networks
— This work aims at minimize the cost of answering snapshot multi-predicate queries in high-communication-cost networks. High-communication-cost (HCC) networks is a family of net...
Georgios Chatzimilioudis, Huseyin Hakkoymaz, Nikos...
CNSR
2008
IEEE
155views Communications» more  CNSR 2008»
15 years 10 months ago
Detecting Network Anomalies Using Different Wavelet Basis Functions
Signal processing techniques have been applied recently for analyzing and detecting network anomalies due to their potential to find novel or unknown intrusions. In this paper, we...
Wei Lu, Mahbod Tavallaee, Ali A. Ghorbani