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TMM
2002
104views more  TMM 2002»
13 years 5 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
EDM
2009
179views Data Mining» more  EDM 2009»
13 years 3 months ago
Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models
This paper describes a novel method to create a quantitative model of an educational content domain of related practice item-types using learning curves. By using a pairwise test t...
Philip I. Pavlik Jr., Hao Cen, Kenneth R. Koedinge...
NLPRS
2001
Springer
13 years 10 months ago
Japanese Information Retrieval Method Using Syntactic and Statistical Information
This paper presents a Japanese information retrieval method using the dependency relationship between words and semantic and statistical information about them. Our method gives a...
Tsunenori Mine, Hiroki Fujitani, Makoto Amamiya
IEAAIE
2004
Springer
13 years 11 months ago
Data Mining Approach for Analyzing Call Center Performance
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo, Srin...
HPDC
2010
IEEE
13 years 6 months ago
Modeling sequence and function similarity between proteins for protein functional annotation
A common task in biological research is to predict function for proteins by comparing sequences between proteins of known and unknown function. This is often done using pair-wise ...
Roger Higdon, Brenton Louie, Eugene Kolker