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105
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ICTAI
2009
IEEE
15 years 9 months ago
Probabilistic Neural Logic Network Learning: Taking Cues from Neuro-Cognitive Processes
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
Henry Wai Kit Chia, Chew Lim Tan, Sam Yuan Sung
128
Voted
PAKDD
2010
ACM
173views Data Mining» more  PAKDD 2010»
15 years 16 days ago
Distributed Knowledge Discovery with Non Linear Dimensionality Reduction
Data mining tasks results are usually improved by reducing the dimensionality of data. This improvement however is achieved harder in the case that data lay on a non linear manifol...
Panagis Magdalinos, Michalis Vazirgiannis, Dialect...
130
Voted
IJCSS
2000
98views more  IJCSS 2000»
15 years 2 months ago
The generative topographic mapping as a principal model for data visualization and market segmentation: an electronic commerce c
The process of extracting knowledge from data involves the discovery of patterns of interest which may be implicit, for instance, in speci
Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan
117
Voted
KDD
1995
ACM
173views Data Mining» more  KDD 1995»
15 years 6 months ago
Knowledge Discovery in Textual Databases (KDT)
The information age is characterizedby a rapid growth in the amountof information availablein electronicmedia. Traditional data handling methods are not adequate to cope with this...
Ronen Feldman, Ido Dagan
154
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IJCAI
2007
15 years 4 months ago
Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery
This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Baye...
Kenneth McGarry, Sheila Garfield, Nick Morris, Ste...