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KDD
2009
ACM
215views Data Mining» more  KDD 2009»
15 years 10 months ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye
KDD
2007
ACM
209views Data Mining» more  KDD 2007»
15 years 10 months ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe
KDD
2004
ACM
196views Data Mining» more  KDD 2004»
15 years 10 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
EDBT
2008
ACM
150views Database» more  EDBT 2008»
15 years 10 months ago
Finding time-dependent shortest paths over large graphs
The spatial and temporal databases have been studied widely and intensively over years. In this paper, we study how to answer queries of finding the best departure time that minim...
Bolin Ding, Jeffrey Xu Yu, Lu Qin
GLOBECOM
2009
IEEE
15 years 4 months ago
Hierarchical Network Formation Games in the Uplink of Multi-Hop Wireless Networks
— In this paper, we propose a game theoretic approach to tackle the problem of the distributed formation of the hierarchical network architecture that connects the nodes in the u...
Walid Saad, Quanyan Zhu, Tamer Basar, Zhu Han, Are...