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» Sequential Inductive Learning
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GIS
2008
ACM
15 years 10 months ago
Pedestrian flow prediction in extensive road networks using biased observational data
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
Michael May, Simon Scheider, Roberto Rösler, ...
HPCA
2009
IEEE
15 years 10 months ago
Voltage emergency prediction: Using signatures to reduce operating margins
Inductive noise forces microprocessor designers to sacrifice performance in order to ensure correct and reliable operation of their designs. The possibility of wide fluctuations i...
Vijay Janapa Reddi, Meeta Sharma Gupta, Glenn H. H...
KDD
2008
ACM
121views Data Mining» more  KDD 2008»
15 years 10 months ago
Reconstructing chemical reaction networks: data mining meets system identification
We present an approach to reconstructing chemical reaction networks from time series measurements of the concentrations of the molecules involved. Our solution strategy combines t...
Yong Ju Cho, Naren Ramakrishnan, Yang Cao
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
15 years 10 months ago
Reasoning about sets using redescription mining
Redescription mining is a newly introduced data mining problem that seeks to find subsets of data that afford multiple definitions. It can be viewed as a generalization of associa...
Mohammed Javeed Zaki, Naren Ramakrishnan
DATE
2009
IEEE
131views Hardware» more  DATE 2009»
15 years 4 months ago
An event-guided approach to reducing voltage noise in processors
Abstract—Supply voltage fluctuations that result from inductive noise are increasingly troublesome in modern microprocessors. A voltage “emergency”, i.e., a swing beyond tol...
Meeta Sharma Gupta, Vijay Janapa Reddi, Glenn H. H...