Contextual relevance feedback in web information retrieval. - Dilip Kumar Limbu; Andy M. Connor; Russel Pears; Stephen G. MacDonell (IIiX, 2006)

FGC: An Efficient Constraint Based Frequent Set Miner. - Russel Pears; Sangeetha Kutty (AICCSA, 2007)

Efficiently Finding Negative Association Rules Without Support Threshold. - Yun Sing Koh; Russel Pears (Australian Conference on Artificial Intelligence, 2007)

Optimization of Multidimensional Aggregates in Data Warehouses. - Russel Pears; Bryan Houliston (J. Database Manag., 2007)

Rare Association Rule Mining via Transaction Clustering. - Yun Sing Koh; Russel Pears (AusDM, 2008)

'Blast Those Sequences': A Gridified Framework for Bioinformatics Blast Using the A3pviGrid. - Avinash Shankaranarayanan; Christine Amaldas; Russel Pears (BIOTECHNO, 2008)

Personalised Modelling for Multiple Time-Series Data Prediction: A Preliminary Investigation in Asia Pacific Stock Market Indexes Movement. - Harya Widiputra; Russel Pears; Nikola K. Kasabov (ICONIP (1), 2008)

Transaction Clustering Using a Seeds Based Approach. - Yun Sing Koh; Russel Pears (PAKDD, 2008)

Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support. - Nikola K. Kasabov; Qun Song 002; Lubica Benuskova; Paulo C. M. Gottgtroy; Vishal Jain; Anju Verma; Ilkka Havukkala; Elaine Rush; Russel Pears; Alex Tjahjana; Yingjie Hu; Stephen G. MacDonell (Computational Intelligence in Biomedicine and Bioinformatics, 2008)

Optimization of Multidimensional Aggregates in Data Warehouses. - Russel Pears; Bryan Houliston (Database Technologies: Concepts, Methodologies, Tools, and Applications, 2009)

Non-Redundant Rare Itemset Generation. - Yun Sing Koh; Russel Pears (AusDM, 2009)

A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction. - Harya Widiputra; Henry Kho; Lukas; Russel Pears; Nikola K. Kasabov (ICONIP (2), 2009)

Improving Web Search Using Contextual Retrieval. - Dilip Kumar Limbu; Andrew M. Connor; Russel Pears; Stephen G. MacDonell (ITNG, 2009)

CBDT: A Concept Based Approach to Data Stream Mining. - Stefan Hoeglinger; Russel Pears; Yun Sing Koh (PAKDD, 2009)

Dynamic interaction networks in modelling and predicting the behaviour of multiple interactive stock markets. - Harya Widiputra; Russel Pears; Antoaneta Serguieva; Nikola K. Kasabov (Intell. Syst. Account. Finance Manag., 2009)

EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining. - Russel Pears; Yun Sing Koh; Gillian Dobbie (ADMA (1), 2010)

Valency Based Weighted Association Rule Mining. - Yun Sing Koh; Russel Pears; Wai-Kiang Yeap (PAKDD (1), 2010)

Integration of Data Mining and Data Warehousing: A Practical Methodology. - Muhammad Usman 005; Russel Pears (Int. J. Adv. Comp. Techn., 2010)

Discriminatory Confidence Analysis in Pattern Mining. - Russel Pears; Yun Sing Koh; Gillian Dobbie (ADMA (1), 2011)

How Effective is Model Checking in Practice? - TheAnh Do; Alvis Cheuk M. Fong; Russel Pears (ENASE, 2011)

Multi Level Mining of Warehouse Schema. - Muhammad Usman 005; Russel Pears (NDT, 2011)

Automatic Assignment of Item Weights for Pattern Mining on Data Streams. - Yun Sing Koh; Russel Pears; Gillian Dobbie (PAKDD (1), 2011)

Weighted Association Rule Mining Using Particle Swarm Optimization. - Russel Pears; Yun Sing Koh (PAKDD Workshops, 2011)

Multiple Time-Series Prediction through Multiple Time-Series Relationships Profiling and Clustered Recurring Trends. - Harya Widiputra; Russel Pears; Nikola K. Kasabov (PAKDD (2), 2011)

Mining Software Metrics from Jazz. - Jacqui Finlay; Andy M. Connor; Russel Pears (SERA, 2011)

Dynamic Interaction Networks versus Local Trend Models for Multiple Time-Series Prediction. - Harya Widiputra; Russel Pears; Nikola K. Kasabov (Cybern. Syst., 2011)

Automatic Item Weight Generation for Pattern Mining and its Application. - Yun Sing Koh; Russel Pears; Gillian Dobbie (Int. J. Data Warehous. Min., 2011)

Kernel-Tree: Mining Frequent Patterns in a Data Stream Based on Forecast Support. - David Tse Jung Huang; Yun Sing Koh; Gillian Dobbie; Russel Pears (Australasian Conference on Artificial Intelligence, 2012)

Data Guided Approach to Generate Multi-dimensional Schema for Targeted Knowledge Discovery. - Muhammad Usman 005; Russel Pears; Alvis Cheuk M. Fong (AusDM, 2012)

Extrapolation Prefix Tree for Data Stream Mining Using a Landmark Model. - Yun Sing Koh; Russel Pears; Gillian Dobbie (DaWaK, 2012)

Precise Guidance to Dynamic Test Generation. - TheAnh Do; Alvis Cheuk M. Fong; Russel Pears (ENASE, 2012)

Dynamic Symbolic Execution Guided by Data Dependency Analysis for High Structural Coverage. - TheAnh Do; Alvis Cheuk M. Fong; Russel Pears (ENASE (Selected Papers), 2012)

Scalable automated test generation using coverage guidance and random search. - TheAnh Do; Alvis Cheuk M. Fong; Russel Pears (AST, 2012)

WeightTransmitter: Weighted Association Rule Mining Using Landmark Weights. - Yun Sing Koh; Russel Pears; Gillian Dobbie (PAKDD (2), 2012)

Tracking Drift Types in Changing Data Streams. - David Tse Jung Huang; Yun Sing Koh; Gillian Dobbie; Russel Pears (ADMA (1), 2013)

Cascade effects of load shedding in coupled networks. - Sotharith Tauch; William Liu; Russel Pears (ICON, 2013)

One Pass Concept Change Detection for Data Streams. - Sripirakas Sakthithasan; Russel Pears; Yun Sing Koh (PAKDD (2), 2013)

Discovering diverse association rules from multidimensional schema. - Muhammad Usman 005; Russel Pears; Alvis Cheuk M. Fong (Expert Syst. Appl., 2013)

Evolving integrated multi-model framework for on line multiple time series prediction. - Russel Pears; Harya Widiputra; Nikola K. Kasabov (Evol. Syst., 2013)

Weighted association rule mining via a graph based connectivity model. - Russel Pears; Yun Sing Koh; Gillian Dobbie; Wai K. Yeap (Inf. Sci., 2013)

A data mining approach to knowledge discovery from multidimensional cube structures. - Muhammad Usman 005; Russel Pears; Alvis Cheuk M. Fong (Knowl. Based Syst., 2013)

Mining Recurrent Concepts in Data Streams Using the Discrete Fourier Transform. - Sripirakas Sakthithasan; Russel Pears (DaWaK, 2014)

Web Materialization Formulation: Modelling Feasible Solutions. - Srdan Zagorac; Russel Pears (DEXA (2), 2014)

Detecting Volatility Shift in Data Streams. - David Tse Jung Huang; Yun Sing Koh; Gillian Dobbie; Russel Pears (ICDM, 2014)

Extracting temporal knowledge from time series: A case study in ecological data. - Reggio N. Hartono; Russel Pears; Nikola K. Kasabov; Susan P. Worner (IJCNN, 2014)

Detecting Changes in Rare Patterns from Data Streams. - David Tse Jung Huang; Yun Sing Koh; Gillian Dobbie; Russel Pears (PAKDD (2), 2014)

Synthetic Minority Over-sampling TEchnique (SMOTE) for Predicting Software Build Outcomes. - Jacqui Finlay; Russel Pears; Andy M. Connor (SEKE, 2014)

Mining developer communication data streams. - Andy M. Connor; Jacqui Finlay; Russel Pears (CoRR, 2014)

Efficient negative association rule mining based on chance thresholds. - Yun Sing Koh; Russel Pears (Intell. Data Anal., 2014)

Data stream mining for predicting software build outcomes using source code metrics. - Jacqui Finlay; Russel Pears; Andy M. Connor (Inf. Softw. Technol., 2014)

Detecting concept change in dynamic data streams - A sequential approach based on reservoir sampling. - Russel Pears; Sripirakas Sakthithasan; Yun Sing Koh (Mach. Learn., 2014)

HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values. - Yun Sing Koh; Russel Pears (DaWaK, 2015)

Measuring Cascading Failures for Smart Grids Vulnerability Assessment. - Sotharith Tauch; William Liu; Russel Pears (DSDIS, 2015)

Use of ensembles of Fourier spectra in capturing recurrent concepts in data streams. - Sripirakas Sakthithasan; Russel Pears; Albert Bifet; Bernhard Pfahringer (IJCNN, 2015)

Measuring cascade effects in interdependent networks by using effective graph resistance. - Sotharith Tauch; William Liu; Russel Pears (INFOCOM Workshops, 2015)

Use of spatio-temporal modeling for age invariant face recognition. - Fahad Bashir Alvi; Russel Pears (IVCNZ, 2015)

A graph based approach to inferring item weights for pattern mining. - Russel Pears; Songwut Pisalpanus; Yun Sing Koh (Expert Syst. Appl., 2015)

Goal-oriented dynamic test generation. - TheAnh Do; Siau-Cheng Khoo; Alvis Cheuk Ming Fong; Russel Pears; Tho Thanh Quan (Inf. Softw. Technol., 2015)

Staged Online Learning: A new approach to classification in high speed data streams. - Chamari I. Kithulgoda; Russel Pears (IJCNN, 2016)

Capturing recurring concepts using discrete Fourier transform. - Sripirakas Sakthithasan; Russel Pears (Concurr. Comput. Pract. Exp., 2016)

Identifying Precursors to Frequency Fluctuation Events in Electrical Power Generation Data. - Md. Shahidul Islam; Russel Pears; Boris Bacic (AusDM, 2017)

Detecting precursor patterns for frequency fluctuation in an electrical grid. - Md. Shahidul Islam; Russel Pears; Boris Bacic (SNPD, 2017)

A composite spatio-temporal modeling approach for age invariant face recognition. - Fahad Bashir Alvi; Russel Pears (Expert Syst. Appl., 2017)

Long-Term Trends in Public Sentiment in Indian Demonetisation Policy. - Adi Darliansyah; Herman Masindano Wandabwa; M. Asif Naeem; Farhaan Mirza; Russel Pears (INTAP, 2018)

A Metamodel Enabled Approach for Discovery of Coherent Topics in Short Text Microblogs. - Herman Masindano Wandabwa; Muhammad Asif Naeem; Russel Pears; Farhaan Mirza (IEEE Access, 2018)

The incremental Fourier classifier: Leveraging the discrete Fourier transform for classifying high speed data streams. - Chamari I. Kithulgoda; Russel Pears; M. Asif Naeem (Expert Syst. Appl., 2018)

An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks. - Fahad Bashir Alvi; Russel Pears; Nikola K. Kasabov (Evol. Syst., 2018)

Evaluating the Quality of Drupal Software Modules. - Benjamin Denham; Russel Pears; Andy M. Connor (Int. J. Softw. Eng. Knowl. Eng., 2018)

Topical Expressivity in Short Texts. - Herman Masindano Wandabwa; M. Asif Naeem; Farhaan Mirza; Russel Pears (CONF-IRM, 2019)

A smart system for short-term price prediction using time series models. - Huy Vuong Nguyen; M. Asif Naeem; Nuttanan Wichitaksorn; Russel Pears (Comput. Electr. Eng., 2019)

SENTIPEDE: A Smart System for Sentiment-based Personality Detection from Short Texts. - Adi Darliansyah; M. Asif Naeem; Farhaan Mirza; Russel Pears (J. Univers. Comput. Sci., 2019)

Multi-interest User Profiling in Short Text Microblogs. - Herman Masindano Wandabwa; M. Asif Naeem; Farhaan Mirza; Russel Pears; Andy Nguyen (DESRIST, 2020)

Follow-back Recommendations for Sports Bettors: A Twitter-based Approach. - Herman Masindano Wandabwa; Muhammad Asif Naeem; Farhaan Mirza; Russel Pears (HICSS, 2020)

Null-Labelling: A Generic Approach for Learning in the Presence of Class Noise. - Benjamin Denham; Russel Pears; M. Asif Naeem (ICDM, 2020)

Automating Inspection of Moveable Lane Barrier for Auckland Harbour Bridge Traffic Safety. - Boris Bacic; Munish Rathee; Russel Pears (ICONIP (1), 2020)

Enhancing random projection with independent and cumulative additive noise for privacy-preserving data stream mining. - Benjamin Denham; Russel Pears; M. Asif Naeem (Expert Syst. Appl., 2020)

HDSM: A distributed data mining approach to classifying vertically distributed data streams. - Benjamin Denham; Russel Pears; M. Asif Naeem (Knowl. Based Syst., 2020)

Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information. - Ben Halstead; Yun Sing Koh; Patricia Riddle; Mykola Pechenizkiy; Albert Bifet; Russel Pears (ICDE, 2021)

Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency. - Ben Halstead; Yun Sing Koh; Patricia Riddle; Russel Pears; Mykola Pechenizkiy; Albert Bifet (Data Min. Knowl. Discov., 2021)

Topical affinity in short text microblogs. - Herman Masindano Wandabwa; M. Asif Naeem; Farhaan Mirza; Russel Pears (Inf. Syst., 2021)

Multi-interest semantic changes over time in short-text microblogs. - Herman Masindano Wandabwa; M. Asif Naeem; Farhaan Mirza; Russel Pears (Knowl. Based Syst., 2021)

Novel method for optimizing performance in resource constrained distributed data streams. - Rashi Bhalla; Russel Pears; M. Asif Naeem; Farhaan Mirza (Appl. Intell., 2022)

Analyzing and repairing concept drift adaptation in data stream classification. - Ben Halstead; Yun Sing Koh; Patricia Riddle; Russel Pears; Mykola Pechenizkiy; Albert Bifet; Gustavo Olivares; Guy Coulson (Mach. Learn., 2022)