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KDD
2007
ACM
209views Data Mining» more  KDD 2007»
14 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
2006
ACM
155views Data Mining» more  KDD 2006»
14 years 10 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 10 months ago
Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering
Heterogeneous data co-clustering has attracted more and more attention in recent years due to its high impact on various applications. While the co-clustering algorithms for two t...
Bin Gao, Tie-Yan Liu, Xin Zheng, QianSheng Cheng, ...
CHI
2007
ACM
14 years 10 months ago
Meta-analysis of correlations among usability measures
Understanding the relation between usability measures seems crucial to deepen our conception of usability and to select the right measures for usability studies. We present a meta...
Kasper Hornbæk, Effie Lai-Chong Law
CHI
2007
ACM
14 years 10 months ago
InkSeine: In Situ search for active note taking
Using a notebook to sketch designs, reflect on a topic, or capture and extend creative ideas are examples of active note taking tasks. Optimal experience for such tasks demands co...
Ken Hinckley, Shengdong Zhao, Raman Sarin, Patrick...