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ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
16 years 1 months ago
Clustering Distributed Time Series in Sensor Networks
Event detection is a critical task in sensor networks, especially for environmental monitoring applications. Traditional solutions to event detection are based on analyzing one-sh...
Jie Yin, Mohamed Medhat Gaber
ICDM
2008
IEEE
127views Data Mining» more  ICDM 2008»
16 years 1 months ago
The Impact of Structural Changes on Predictions of Diffusion in Networks
In a typical realistic scenario, there exist some past data about the structure of the network which are analyzed with respect to some possibly future spreading process, such as b...
Mayank Lahiri, Arun S. Maiya, Rajmonda Sulo, Habib...
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
15 years 5 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish
SDM
2012
SIAM
282views Data Mining» more  SDM 2012»
13 years 9 months ago
Citation Prediction in Heterogeneous Bibliographic Networks
To reveal information hiding in link space of bibliographical networks, link analysis has been studied from different perspectives in recent years. In this paper, we address a no...
Xiao Yu, Quanquan Gu, Mianwei Zhou, Jiawei Han
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
16 years 7 months ago
A framework for community identification in dynamic social networks
We propose frameworks and algorithms for identifying communities in social networks that change over time. Communities are intuitively characterized as "unusually densely kni...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf, D...