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GRC
2010
IEEE
15 years 7 months ago
Local Pattern Mining from Sequences Using Rough Set Theory
Abstract--Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns ...
Ken Kaneiwa, Yasuo Kudo
IEEEICCI
2005
IEEE
15 years 12 months ago
How to disregard irrelevant stimulus dimensions: evidence from comparative visual search
To what extent is it possible to disregard stimulus dimensions that are irrelevant to a certain task? This question was tackled in three experiments using the paradigm of comparat...
Marc Pomplun, E. Carbone, Lorenz Sichelschmidt, B....
SSD
2001
Springer
128views Database» more  SSD 2001»
15 years 10 months ago
Creating Representations for Continuously Moving Regions from Observations
Recently there is much interest in moving objects databases, and data models and query languages have been proposed offering data types such as moving point and moving region toge...
Erlend Tøssebro, Ralf Hartmut Güting
NIPS
2007
15 years 7 months ago
Locality and low-dimensions in the prediction of natural experience from fMRI
Functional Magnetic Resonance Imaging (fMRI) provides dynamical access into the complex functioning of the human brain, detailing the hemodynamic activity of thousands of voxels d...
Francois Meyer, Greg Stephens
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
16 years 15 days ago
ECGA vs. BOA in discovering stock market trading experts
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
Piotr Lipinski