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» Temporal granular logic for temporal data mining
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ICDM
2009
IEEE
205views Data Mining» more  ICDM 2009»
15 years 6 months ago
Active Selection of Sensor Sites in Remote Sensing Applications
— In a data-mining approach, a model for estimation of Aerosol Optical Depth (AOD) from satellite observations is learned using collocated satellite and groundbased observations....
Debasish Das, Zoran Obradovic, Slobodan Vucetic
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
15 years 6 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 3 days ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
ICDM
2010
IEEE
213views Data Mining» more  ICDM 2010»
14 years 9 months ago
Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling
Citizen scientists, who are volunteers from the community that participate as field assistants in scientific studies [3], enable research to be performed at much larger spatial and...
Jun Yu, Weng-Keen Wong, Rebecca A. Hutchinson
GFKL
2005
Springer
133views Data Mining» more  GFKL 2005»
15 years 5 months ago
Finding Persisting States for Knowledge Discovery in Time Series
Abstract. Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the ...
Fabian Mörchen, Alfred Ultsch