Russel Pears
Russel Pears
Clinical Associate Professor, University of North Texas
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Detecting concept change in dynamic data streams: A sequential approach based on reservoir sampling
R Pears, S Sakthithasan, YS Koh
Machine Learning 97, 259-293, 2014
Detecting volatility shift in data streams
DTJ Huang, YS Koh, G Dobbie, R Pears
2014 IEEE International Conference on Data Mining, 863-868, 2014
Weighted association rule mining via a graph based connectivity model
R Pears, YS Koh, G Dobbie, W Yeap
Information Sciences 218, 61-84, 2013
Data stream mining for predicting software build outcomes using source code metrics
J Finlay, R Pears, AM Connor
Information and Software Technology 56 (2), 183-198, 2014
Synthetic Minority over-sampling technique (SMOTE) for predicting software build outcomes
R Pears, J Finlay, AM Connor
arXiv preprint arXiv:1407.2330, 2014
One pass concept change detection for data streams
S Sakthithasan, R Pears, YS Koh
Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia …, 2013
Use of hoeffding trees in concept based data stream mining
S Hoeglinger, R Pears
2007 Third International Conference on Information and Automation for …, 2007
A smart system for short-term price prediction using time series models
HV Nguyen, MA Naeem, N Wichitaksorn, R Pears
Computers & Electrical Engineering 76, 339-352, 2019
Contextual relevance feedback in web information retrieval
DK Limbu, A Connor, R Pears, S MacDonell
Proceedings of the 1st International Conference on Information interaction …, 2006
Multiple time-series prediction through multiple time-series relationships profiling and clustered recurring trends
H Widiputra, R Pears, N Kasabov
Advances in Knowledge Discovery and Data Mining: 15th Pacific-Asia …, 2011
Weighted association rule mining using particle swarm optimization
R Pears, YS Koh
New Frontiers in Applied Data Mining: PAKDD 2011 International Workshops …, 2012
Rare association rule mining via transaction clustering
YS Koh, R Pears
Australian Computer Society (ACS), 2008
Enhancing random projection with independent and cumulative additive noise for privacy-preserving data stream mining
B Denham, R Pears, MA Naeem
Expert Systems with Applications 152, 113380, 2020
Valency based weighted association rule mining
YS Koh, R Pears, W Yeap
Advances in Knowledge Discovery and Data Mining: 14th Pacific-Asia …, 2010
Discovering diverse association rules from multidimensional schema
M Usman, R Pears, ACM Fong
Expert systems with applications 40 (15), 5975-5996, 2013
SENTIPEDE: A Smart System for Sentiment-based Personality Detection from Short Texts.
A Darliansyah, MA Naeem, F Mirza, R Pears
J. Univers. Comput. Sci. 25 (10), 1323-1352, 2019
Cbdt: A concept based approach to data stream mining
S Hoeglinger, R Pears, YS Koh
Advances in Knowledge Discovery and Data Mining: 13th Pacific-Asia …, 2009
Use of ensembles of Fourier spectra in capturing recurrent concepts in data streams
S Sakthithasan, R Pears, A Bifet, B Pfahringer
2015 international joint conference on neural networks (ijcnn), 1-8, 2015
Analyzing and repairing concept drift adaptation in data stream classification
B Halstead, YS Koh, P Riddle, R Pears, M Pechenizkiy, A Bifet, G Olivares, ...
Machine Learning 111 (10), 3489-3523, 2022
A composite spatio-temporal modeling approach for age invariant face recognition
FB Alvi, R Pears
Expert Systems with Applications 72, 383-394, 2017
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