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» Mining partial periodic correlations in time series
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ESANN
2006
13 years 9 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
EWSN
2009
Springer
14 years 8 months ago
Sundial: Using Sunlight to Reconstruct Global Timestamps
Abstract. This paper investigates postmortem timestamp reconstruction in environmental monitoring networks. In the absence of a timesynchronization protocol, these networks use mul...
Jayant Gupchup, Razvan Musaloiu-Elefteri, Alexande...
APSEC
2004
IEEE
13 years 11 months ago
A Project Management Support Tool using Communication for Agile Software Development
Recently, agile software development methods are popular because software should be developed in a short period. However, conventional project management techniques are often not ...
Noriko Hanakawa, Kimiharu Okura
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
13 years 9 months ago
Co-selection of Features and Instances for Unsupervised Rare Category Analysis
Rare category analysis is of key importance both in theory and in practice. Previous research work focuses on supervised rare category analysis, such as rare category detection an...
Jingrui He, Jaime G. Carbonell
KDD
2007
ACM
209views Data Mining» more  KDD 2007»
14 years 8 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