Name
Affiliation
Papers
RUSSEL PEARS
School of Computing and Mathematical Sciences, AUT University, New Zealand
67
Collaborators
Citations 
PageRank 
57
205
27.00
Referers 
Referees 
References 
367
1279
815
Search Limit
1001000
Title
Citations
PageRank
Year
Analyzing and repairing concept drift adaptation in data stream classification00.342022
Recurring Concept Memory Management In Data Streams: Exploiting Data Stream Concept Evolution To Improve Performance And Transparency00.342021
Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification00.342021
Topical affinity in short text microblogs00.342021
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information10.362021
Multi-interest User Profiling in Short Text Microblogs.00.342020
Automating Inspection of Moveable Lane Barrier for Auckland Harbour Bridge Traffic Safety.00.342020
HDSM: A distributed data mining approach to classifying vertically distributed data streams00.342020
A smart system for short-term price prediction using time series models00.342019
The incremental Fourier classifier: Leveraging the discrete Fourier transform for classifying high speed data streams.20.372018
An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks.20.362018
A Metamodel Enabled Approach For Discovery Of Coherent Topics In Short Text Microblogs00.342018
Evaluating The Quality Of Drupal Software Modules00.342018
Identifying Precursors to Frequency Fluctuation Events in Electrical Power Generation Data.00.342017
A composite spatio-temporal modeling approach for age invariant face recognition.30.382017
Capturing recurring concepts using discrete Fourier transform.10.412016
Goal-oriented dynamic test generation20.362015
Measuring Cascading Failures for Smart Grids Vulnerability Assessment.00.342015
HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values00.342015
Use of spatio-temporal modeling for age invariant face recognition00.342015
Measuring cascade effects in interdependent networks by using effective graph resistance20.412015
Synthetic Minority Over-sampling TEchnique(SMOTE) for Predicting Software Build Outcomes.40.432014
Data stream mining for predicting software build outcomes using source code metrics110.562014
Mining developer communication data streams.20.372014
Efficient negative association rule mining based on chance thresholds00.342014
Detecting concept change in dynamic data streams - A sequential approach based on reservoir sampling.00.342014
Detecting Volatility Shift in Data Streams130.702014
Detecting Changes in Rare Patterns from Data Streams.20.352014
Synthetic Minority Over-sampling TEchnique (SMOTE) for Predicting Software Build Outcomes.00.342014
Evolving integrated multi-model framework for on line multiple time series prediction.10.362013
A data mining approach to knowledge discovery from multidimensional cube structures20.362013
One Pass Concept Change Detection for Data Streams.80.472013
Cascade effects of load shedding in coupled networks00.342013
Weighted association rule mining via a graph based connectivity model210.652013
Tracking Drift Types in Changing Data Streams.10.362013
Discovering diverse association rules from multidimensional schema40.432013
Precise Guidance to Dynamic Test Generation.20.372012
Data guided approach to generate multi-dimensional schema for targeted knowledge discovery00.342012
Extrapolation prefix tree for data stream mining using a landmark model10.382012
Dynamic Symbolic Execution Guided by Data Dependency Analysis for High Structural Coverage.40.372012
Kernel-Tree: mining frequent patterns in a data stream based on forecast support10.362012
Scalable automated test generation using coverage guidance and random search10.362012
WeightTransmitter: weighted association rule mining using landmark weights50.442012
Discriminatory confidence analysis in pattern mining00.342011
Automatic assignment of item weights for pattern mining on data streams00.342011
DYNAMIC INTERACTION NETWORKS VERSUS LOCAL TREND MODELS FOR MULTIPLE TIME-SERIES PREDICTION10.352011
Multi Level Mining of Warehouse Schema.40.422011
Mining Software Metrics from Jazz60.462011
Automatic Item Weight Generation for Pattern Mining and its Application100.512011
Multiple time-series prediction through multiple time-series relationships profiling and clustered recurring trends130.582011
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