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KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 1 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
14 years 1 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...
KDD
2012
ACM
190views Data Mining» more  KDD 2012»
11 years 11 months ago
The untold story of the clones: content-agnostic factors that impact YouTube video popularity
Video dissemination through sites such as YouTube can have widespread impacts on opinions, thoughts, and cultures. Not all videos will reach the same popularity and have the same ...
Youmna Borghol, Sebastien Ardon, Niklas Carlsson, ...
EUROPAR
2008
Springer
13 years 11 months ago
Performance Implications of Cache Affinity on Multicore Processors
Cache affinity between a process and a processor is observed when the processor cache has accumulated some amount of the process state, i.e., data or instructions. Cache affinity i...
Vahid Kazempour, Alexandra Fedorova, Pouya Alagheb...
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
11 years 11 months ago
Factoring past exposure in display advertising targeting
Online advertising is increasingly becoming more performance oriented, where the decision to show an advertisement to a user is made based on the user’s propensity to respond to...
Neha Gupta, Abhimanyu Das, Sandeep Pandey, Vijay K...