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» A Data-Driven Approach for Event Prediction
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KDD
2009
ACM
181views Data Mining» more  KDD 2009»
14 years 3 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. ...
MM
2006
ACM
143views Multimedia» more  MM 2006»
14 years 2 months ago
Motion swarms: video interaction for art in complex environments
We create interactive art that can be enjoyed by groups such as audiences at public events with the intent to encourage communication with those around us as we play with the art....
Quoc Nguyen, Scott Novakowski, Jeffrey E. Boyd, Ch...
DGO
2006
128views Education» more  DGO 2006»
13 years 10 months ago
Supporting humanitarian relief logistics operations through online geocollaborative knowledge management
Over the past two years, horrific disasters such as the Asian Tsunami, Hurricane Katrina, and the Pakistan Earthquake have demonstrated the critical need for effective technologic...
Brian M. Tomaszewski, Alan M. MacEachren, Scott Pe...
WSC
2004
13 years 10 months ago
Factors Affecting the Expectation of Casualties in the Virtual Range Toxicity Model
The Virtual Range (VR) is an environment that integrates in a seamless fashion several models to improve complex systems visualization. A complex system is a non-linear system of ...
José A. Sepúlveda, Luis C. Rabelo, J...
BMCBI
2010
110views more  BMCBI 2010»
13 years 8 months ago
Discovering local patterns of co - evolution: computational aspects and biological examples
Background: Co-evolution is the process in which two (or more) sets of orthologs exhibit a similar or correlative pattern of evolution. Co-evolution is a powerful way to learn abo...
Tamir Tuller, Yifat Felder, Martin Kupiec