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» Mining Ecological Data with Cellular Automata
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ACRI
2004
Springer
14 years 3 months ago
Mining Ecological Data with Cellular Automata
This paper introduces a Cellular Automata (CA) approach to spatiotemporal data mining (STDM). The recently increasing interest in using Genetic Algorithms and other evolutionary te...
Alexander Campbell, Binh Pham, Yu-Chu Tian
SIGKDD
2008
159views more  SIGKDD 2008»
13 years 9 months ago
Data mining with cellular automata
A cellular automaton is a discrete, dynamical system composed of very simple, uniformly interconnected cells. Cellular automata may be seen as an extreme form of simple, localized...
Tom Fawcett
ICTAI
2003
IEEE
14 years 3 months ago
Genetic Algorithm Calibration of Probabilistic Cellular Automata for Modeling Mining Permit Activity
We use a genetic algorithm to calibrate a spatially and temporally resolved cellular automata to model mining activity on public land in Idaho and western Montana. The genetic alg...
Sushil J. Louis, Gary L. Raines
SADM
2010
194views more  SADM 2010»
13 years 8 months ago
Seriation and matrix reordering methods: An historical overview
: Seriation is an exploratory combinatorial data analysis technique to reorder objects into a sequence along a one-dimensional continuum so that it best reveals regularity and patt...
Innar Liiv
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
14 years 3 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...