Russel Pears
According to our database1,
Russel Pears
authored at least 83 papers
between 2006 and 2022.
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Bibliography
2022
Mach. Learn., 2022
Novel method for optimizing performance in resource constrained distributed data streams.
Appl. Intell., 2022
2021
Knowl. Based Syst., 2021
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency.
Data Min. Knowl. Discov., 2021
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
2020
HDSM: A distributed data mining approach to classifying vertically distributed data streams.
Knowl. Based Syst., 2020
Enhancing random projection with independent and cumulative additive noise for privacy-preserving data stream mining.
Expert Syst. Appl., 2020
Automating Inspection of Moveable Lane Barrier for Auckland Harbour Bridge Traffic Safety.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
Proceedings of the Designing for Digital Transformation. Co-Creating Services with Citizens and Industry, 2020
2019
SENTIPEDE: A Smart System for Sentiment-based Personality Detection from Short Texts.
J. Univers. Comput. Sci., 2019
Comput. Electr. Eng., 2019
Proceedings of the 2019 International Conference on Information Resources Management, 2019
2018
Int. J. Softw. Eng. Knowl. Eng., 2018
An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks.
Evol. Syst., 2018
The incremental Fourier classifier: Leveraging the discrete Fourier transform for classifying high speed data streams.
Expert Syst. Appl., 2018
A Metamodel Enabled Approach for Discovery of Coherent Topics in Short Text Microblogs.
IEEE Access, 2018
Proceedings of the Intelligent Technologies and Applications, 2018
2017
Expert Syst. Appl., 2017
Proceedings of the 18th IEEE/ACIS International Conference on Software Engineering, 2017
Identifying Precursors to Frequency Fluctuation Events in Electrical Power Generation Data.
Proceedings of the Data Mining, 2017
2016
Concurr. Comput. Pract. Exp., 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Expert Syst. Appl., 2015
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015
Measuring cascade effects in interdependent networks by using effective graph resistance.
Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the IEEE International Conference on Data Science and Data Intensive Systems, 2015
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015
2014
Detecting concept change in dynamic data streams - A sequential approach based on reservoir sampling.
Mach. Learn., 2014
Inf. Softw. Technol., 2014
Intell. Data Anal., 2014
Synthetic Minority Over-sampling TEchnique (SMOTE) for Predicting Software Build Outcomes.
Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the Database and Expert Systems Applications, 2014
Proceedings of the Data Warehousing and Knowledge Discovery, 2014
2013
Knowl. Based Syst., 2013
Inf. Sci., 2013
Evolving integrated multi-model framework for on line multiple time series prediction.
Evol. Syst., 2013
Expert Syst. Appl., 2013
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Proceedings of the 19th IEEE International Conference on Networks, 2013
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013
2012
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Proceedings of the 7th International Workshop on Automation of Software Test, 2012
Dynamic Symbolic Execution Guided by Data Dependency Analysis for High Structural Coverage.
Proceedings of the Evaluation of Novel Approaches to Software Engineering, 2012
Precise Guidance to Dynamic Test Generation.
Proceedings of the ENASE 2012, 2012
Proceedings of the Data Warehousing and Knowledge Discovery, 2012
Data Guided Approach to Generate Multi-dimensional Schema for Targeted Knowledge Discovery.
Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
2011
Int. J. Data Warehous. Min., 2011
Dynamic Interaction Networks versus Local Trend Models for Multiple Time-Series Prediction.
Cybern. Syst., 2011
Proceedings of the 9th International Conference on Software Engineering Research, 2011
Multiple Time-Series Prediction through Multiple Time-Series Relationships Profiling and Clustered Recurring Trends.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
Proceedings of the New Frontiers in Applied Data Mining, 2011
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
Proceedings of the Networked Digital Technologies - Third International Conference, 2011
How Effective is Model Checking in Practice?
Proceedings of the ENASE 2011, 2011
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011
2010
Int. J. Adv. Comp. Techn., 2010
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010
2009
Dynamic interaction networks in modelling and predicting the behaviour of multiple interactive stock markets.
Intell. Syst. Account. Finance Manag., 2009
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009
Proceedings of the Sixth International Conference on Information Technology: New Generations, 2009
A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction.
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009
Proceedings of the Database Technologies: Concepts, 2009
2008
Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support.
Proceedings of the Computational Intelligence in Biomedicine and Bioinformatics, 2008
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
Personalised Modelling for Multiple Time-Series Data Prediction: A Preliminary Investigation in Asia Pacific Stock Market Indexes Movement.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
'Blast Those Sequences': A Gridified Framework for Bioinformatics Blast Using the A3pviGrid.
Proceedings of the International Conference on Biocomputation, 2008
Proceedings of the Data Mining and Analytics 2008, 2008
2007
J. Database Manag., 2007
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007
Proceedings of the 2007 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2007), 2007
2006
Proceedings of the 1st International Conference on Information Interaction in Context, 2006