Russel Pears

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 27

Top Topics

Discrete Fourier Transform

Top Venues

Expert Syst. Appl.

Knowl. Based Syst.

Publications

Rashi Bhalla, Russel Pears, M. Asif Naeem, Farhaan Mirza
Novel method for optimizing performance in resource constrained distributed data streams. Appl. Intell. 52 (11) (2022)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson
Analyzing and repairing concept drift adaptation in data stream classification. Mach. Learn. 111 (10) (2022)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet, Russel Pears
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information. ICDE (2021)
Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears
Topical affinity in short text microblogs. Inf. Syst. 96 (2021)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson
Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification. DSAA (2021)
Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency. Data Min. Knowl. Discov. 35 (3) (2021)
Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears
Multi-interest semantic changes over time in short-text microblogs. Knowl. Based Syst. 228 (2021)
Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears, Andy Nguyen
Multi-interest User Profiling in Short Text Microblogs. DESRIST (2020)
Boris Bacic, Munish Rathee, Russel Pears
Automating Inspection of Moveable Lane Barrier for Auckland Harbour Bridge Traffic Safety. ICONIP (1) (2020)
Benjamin Denham, Russel Pears, M. Asif Naeem
Enhancing random projection with independent and cumulative additive noise for privacy-preserving data stream mining. Expert Syst. Appl. 152 (2020)
Herman Masindano Wandabwa, Muhammad Asif Naeem, Farhaan Mirza, Russel Pears
Follow-back Recommendations for Sports Bettors: A Twitter-based Approach. HICSS (2020)
Benjamin Denham, Russel Pears, M. Asif Naeem
Null-Labelling: A Generic Approach for Learning in the Presence of Class Noise. ICDM (2020)
Benjamin Denham, Russel Pears, M. Asif Naeem
HDSM: A distributed data mining approach to classifying vertically distributed data streams. Knowl. Based Syst. 189 (2020)
Huy Vuong Nguyen, M. Asif Naeem, Nuttanan Wichitaksorn, Russel Pears
A smart system for short-term price prediction using time series models. Comput. Electr. Eng. 76 (2019)
Adi Darliansyah, M. Asif Naeem, Farhaan Mirza, Russel Pears
SENTIPEDE: A Smart System for Sentiment-based Personality Detection from Short Texts. J. Univers. Comput. Sci. 25 (10) (2019)
Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears
Topical Expressivity in Short Texts. CONF-IRM (2019)
Benjamin Denham, Russel Pears, Andy M. Connor
Evaluating the Quality of Drupal Software Modules. Int. J. Softw. Eng. Knowl. Eng. 28 (5) (2018)
Chamari I. Kithulgoda, Russel Pears, M. Asif Naeem
The incremental Fourier classifier: Leveraging the discrete Fourier transform for classifying high speed data streams. Expert Syst. Appl. 97 (2018)
Adi Darliansyah, Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears
Long-Term Trends in Public Sentiment in Indian Demonetisation Policy. INTAP (2018)
Fahad Bashir Alvi, Russel Pears, Nikola K. Kasabov
An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks. Evol. Syst. 9 (2) (2018)
Herman Masindano Wandabwa, Muhammad Asif Naeem, Russel Pears, Farhaan Mirza
A Metamodel Enabled Approach for Discovery of Coherent Topics in Short Text Microblogs. IEEE Access 6 (2018)
Fahad Bashir Alvi, Russel Pears
A composite spatio-temporal modeling approach for age invariant face recognition. Expert Syst. Appl. 72 (2017)
Md. Shahidul Islam, Russel Pears, Boris Bacic
Identifying Precursors to Frequency Fluctuation Events in Electrical Power Generation Data. AusDM (2017)
Md. Shahidul Islam, Russel Pears, Boris Bacic
Detecting precursor patterns for frequency fluctuation in an electrical grid. SNPD (2017)
Chamari I. Kithulgoda, Russel Pears
Staged Online Learning: A new approach to classification in high speed data streams. IJCNN (2016)
Jacqui Finlay, Russel Pears, Andy M. Connor
Data stream mining for predicting software build outcomes using source code metrics. CoRR (2016)
Sripirakas Sakthithasan, Russel Pears
Capturing recurring concepts using discrete Fourier transform. Concurr. Comput. Pract. Exp. 28 (15) (2016)
Sripirakas Sakthithasan, Russel Pears, Albert Bifet, Bernhard Pfahringer
Use of Ensembles of Fourier Spectra in Capturing Recurrent Concepts in Data Streams. CoRR (2015)
Sripirakas Sakthithasan, Russel Pears, Albert Bifet, Bernhard Pfahringer
Use of ensembles of Fourier spectra in capturing recurrent concepts in data streams. IJCNN (2015)
Fahad Bashir Alvi, Russel Pears
Use of spatio-temporal modeling for age invariant face recognition. IVCNZ (2015)
Sotharith Tauch, William Liu, Russel Pears
Measuring cascade effects in interdependent networks by using effective graph resistance. INFOCOM Workshops (2015)
Yun Sing Koh, Russel Pears
HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values. DaWaK (2015)
TheAnh Do, Siau-Cheng Khoo, Alvis Cheuk Ming Fong, Russel Pears, Tho Thanh Quan
Goal-oriented dynamic test generation. Inf. Softw. Technol. 66 (2015)
Sotharith Tauch, William Liu, Russel Pears
Measuring Cascading Failures for Smart Grids Vulnerability Assessment. DSDIS (2015)
Russel Pears, Songwut Pisalpanus, Yun Sing Koh
A graph based approach to inferring item weights for pattern mining. Expert Syst. Appl. 42 (1) (2015)
Andy M. Connor, Jacqui Finlay, Russel Pears
Mining developer communication data streams. CoRR (2014)
Yun Sing Koh, Russel Pears
Efficient negative association rule mining based on chance thresholds. Intell. Data Anal. 18 (2) (2014)
Sripirakas Sakthithasan, Russel Pears
Mining Recurrent Concepts in Data Streams using the Discrete Fourier Transform. CoRR (2014)
Srdan Zagorac, Russel Pears
Web Materialization Formulation: Modelling Feasible Solutions. DEXA (2) (2014)
Jacqui Finlay, Russel Pears, Andy M. Connor
Synthetic Minority Over-sampling TEchnique (SMOTE) for Predicting Software Build Outcomes. SEKE (2014)
Dilip Kumar Limbu, Andy M. Connor, Russel Pears, Stephen G. MacDonell
Improving web search using contextual retrieval. CoRR (2014)
Jacqui Finlay, Russel Pears, Andy M. Connor
Data stream mining for predicting software build outcomes using source code metrics. Inf. Softw. Technol. 56 (2) (2014)
Russel Pears, Sripirakas Sakthithasan, Yun Sing Koh
Detecting concept change in dynamic data streams - A sequential approach based on reservoir sampling. Mach. Learn. 97 (3) (2014)
Jacqui Finlay, Andy M. Connor, Russel Pears
Mining Software Metrics from Jazz. CoRR (2014)
Russel Pears, Jacqui Finlay, Andy M. Connor
Synthetic Minority Over-sampling TEchnique(SMOTE) for Predicting Software Build Outcomes. CoRR (2014)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
Detecting Changes in Rare Patterns from Data Streams. PAKDD (2) (2014)
Reggio N. Hartono, Russel Pears, Nikola K. Kasabov, Susan P. Worner
Extracting temporal knowledge from time series: A case study in ecological data. IJCNN (2014)
Sripirakas Sakthithasan, Russel Pears
Mining Recurrent Concepts in Data Streams Using the Discrete Fourier Transform. DaWaK (2014)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
Detecting Volatility Shift in Data Streams. ICDM (2014)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
Tracking Drift Types in Changing Data Streams. ADMA (1) (2013)
Sotharith Tauch, William Liu, Russel Pears
Cascade effects of load shedding in coupled networks. ICON (2013)
Sripirakas Sakthithasan, Russel Pears, Yun Sing Koh
One Pass Concept Change Detection for Data Streams. PAKDD (2) (2013)
Muhammad Usman, Russel Pears, Alvis Cheuk M. Fong
Discovering diverse association rules from multidimensional schema. Expert Syst. Appl. 40 (15) (2013)
Russel Pears, Harya Widiputra, Nikola K. Kasabov
Evolving integrated multi-model framework for on line multiple time series prediction. Evol. Syst. 4 (2) (2013)
Russel Pears, Yun Sing Koh, Gillian Dobbie, Wai K. Yeap
Weighted association rule mining via a graph based connectivity model. Inf. Sci. 218 (2013)
Muhammad Usman, Russel Pears, Alvis Cheuk M. Fong
A data mining approach to knowledge discovery from multidimensional cube structures. Knowl. Based Syst. 40 (2013)
TheAnh Do, Alvis Cheuk M. Fong, Russel Pears
Scalable automated test generation using coverage guidance and random search. AST (2012)
TheAnh Do, Alvis Cheuk M. Fong, Russel Pears
Precise Guidance to Dynamic Test Generation. ENASE (2012)
TheAnh Do, Alvis Cheuk M. Fong, Russel Pears
Dynamic Symbolic Execution Guided by Data Dependency Analysis for High Structural Coverage. ENASE (Selected Papers) (2012)
Muhammad Usman, Russel Pears, Alvis Cheuk M. Fong
Data Guided Approach to Generate Multi-dimensional Schema for Targeted Knowledge Discovery. AusDM (2012)
Yun Sing Koh, Russel Pears, Gillian Dobbie
Extrapolation Prefix Tree for Data Stream Mining Using a Landmark Model. DaWaK (2012)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
Kernel-Tree: Mining Frequent Patterns in a Data Stream Based on Forecast Support. Australasian Conference on Artificial Intelligence (2012)
Yun Sing Koh, Russel Pears, Gillian Dobbie
WeightTransmitter: Weighted Association Rule Mining Using Landmark Weights. PAKDD (2) (2012)
TheAnh Do, Alvis Cheuk M. Fong, Russel Pears
How Effective is Model Checking in Practice? ENASE (2011)
Harya Widiputra, Russel Pears, Nikola K. Kasabov
Dynamic Interaction Networks versus Local Trend Models for Multiple Time-Series Prediction. Cybern. Syst. 42 (2) (2011)
Russel Pears, Yun Sing Koh
Weighted Association Rule Mining Using Particle Swarm Optimization. PAKDD Workshops (2011)
Yun Sing Koh, Russel Pears, Gillian Dobbie
Automatic Assignment of Item Weights for Pattern Mining on Data Streams. PAKDD (1) (2011)
Russel Pears, Yun Sing Koh, Gillian Dobbie
Discriminatory Confidence Analysis in Pattern Mining. ADMA (1) (2011)
Jacqui Finlay, Andy M. Connor, Russel Pears
Mining Software Metrics from Jazz. SERA (2011)
Muhammad Usman, Russel Pears
Multi Level Mining of Warehouse Schema. NDT (2011)
Yun Sing Koh, Russel Pears, Gillian Dobbie
Automatic Item Weight Generation for Pattern Mining and its Application. Int. J. Data Warehous. Min. 7 (3) (2011)
Harya Widiputra, Russel Pears, Nikola K. Kasabov
Multiple Time-Series Prediction through Multiple Time-Series Relationships Profiling and Clustered Recurring Trends. PAKDD (2) (2011)
Yun Sing Koh, Russel Pears, Wai-Kiang Yeap
Valency Based Weighted Association Rule Mining. PAKDD (1) (2010)
Russel Pears, Yun Sing Koh, Gillian Dobbie
EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining. ADMA (1) (2010)
Muhammad Usman, Russel Pears
Integration of Data Mining and Data Warehousing: A Practical Methodology. Int. J. Adv. Comp. Techn. 2 (3) (2010)
Harya Widiputra, Russel Pears, Antoaneta Serguieva, Nikola K. Kasabov
Dynamic interaction networks in modelling and predicting the behaviour of multiple interactive stock markets. Intell. Syst. Account. Finance Manag. 16 (1-2) (2009)
Stefan Hoeglinger, Russel Pears, Yun Sing Koh
CBDT: A Concept Based Approach to Data Stream Mining. PAKDD (2009)
Harya Widiputra, Henry Kho, Lukas, Russel Pears, Nikola K. Kasabov
A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction. ICONIP (2) (2009)
Yun Sing Koh, Russel Pears
Non-Redundant Rare Itemset Generation. AusDM (2009)
Dilip Kumar Limbu, Andrew M. Connor, Russel Pears, Stephen G. MacDonell
Improving Web Search Using Contextual Retrieval. ITNG (2009)
Yun Sing Koh, Russel Pears
Transaction Clustering Using a Seeds Based Approach. PAKDD (2008)
Yun Sing Koh, Russel Pears
Rare Association Rule Mining via Transaction Clustering. AusDM (2008)
Harya Widiputra, Russel Pears, Nikola K. Kasabov
Personalised Modelling for Multiple Time-Series Data Prediction: A Preliminary Investigation in Asia Pacific Stock Market Indexes Movement. ICONIP (1) (2008)
Avinash Shankaranarayanan, Christine Amaldas, Russel Pears
'Blast Those Sequences': A Gridified Framework for Bioinformatics Blast Using the A3pviGrid. BIOTECHNO (2008)
Yun Sing Koh, Russel Pears
Efficiently Finding Negative Association Rules Without Support Threshold. Australian Conference on Artificial Intelligence (2007)
Russel Pears, Bryan Houliston
Optimization of Multidimensional Aggregates in Data Warehouses. J. Database Manag. 18 (1) (2007)
Russel Pears, Sangeetha Kutty
FGC: An Efficient Constraint Based Frequent Set Miner. AICCSA (2007)
Dilip Kumar Limbu, Andy M. Connor, Russel Pears, Stephen G. MacDonell
Contextual relevance feedback in web information retrieval. IIiX (2006)