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2020 – today
- 2022
[j29]Rashi Bhalla, Russel Pears, M. Asif Naeem, Farhaan Mirza:
Novel method for optimizing performance in resource constrained distributed data streams. Appl. Intell. 52(11): 12924-12942 (2022)- [j28]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): 3489-3523 (2022) - 2021
- [j27]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): 796-836 (2021) - [j26]Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears:
Topical affinity in short text microblogs. Inf. Syst. 96: 101662 (2021) - [j25]Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears:
Multi-interest semantic changes over time in short-text microblogs. Knowl. Based Syst. 228: 107249 (2021) - [c52]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: 1-2 - [c51]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: 1056-1067 - 2020
- [j24]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: 113380 (2020) - [j23]Benjamin Denham, Russel Pears, M. Asif Naeem:
HDSM: A distributed data mining approach to classifying vertically distributed data streams. Knowl. Based Syst. 189 (2020) - [c50]Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears, Andy Nguyen:
Multi-interest User Profiling in Short Text Microblogs. DESRIST 2020: 154-168 - [c49]Herman Masindano Wandabwa, Muhammad Asif Naeem, Farhaan Mirza, Russel Pears:
Follow-back Recommendations for Sports Bettors: A Twitter-based Approach. HICSS 2020: 1-10 - [c48]Benjamin Denham, Russel Pears, M. Asif Naeem:
Null-Labelling: A Generic Approach for Learning in the Presence of Class Noise. ICDM 2020: 990-995 - [c47]Boris Bacic, Munish Rathee, Russel Pears:
Automating Inspection of Moveable Lane Barrier for Auckland Harbour Bridge Traffic Safety. ICONIP (1) 2020: 150-161
2010 – 2019
- 2019
- [j22]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: 339-352 (2019) - [j21]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): 1323-1352 (2019) - [c46]Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears:
Topical Expressivity in Short Texts. CONF-IRM 2019: 19 - 2018
- [j20]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: 65582-65593 (2018) - [j19]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: 1-17 (2018) - [j18]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): 145-156 (2018) - [j17]Benjamin Denham, Russel Pears, Andy M. Connor:
Evaluating the Quality of Drupal Software Modules. Int. J. Softw. Eng. Knowl. Eng. 28(5): 663-700 (2018) - [c45]Adi Darliansyah, Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears:
Long-Term Trends in Public Sentiment in Indian Demonetisation Policy. INTAP 2018: 65-75 - 2017
- [j16]Fahad Bashir Alvi, Russel Pears:
A composite spatio-temporal modeling approach for age invariant face recognition. Expert Syst. Appl. 72: 383-394 (2017) - [c44]Md. Shahidul Islam, Russel Pears, Boris Bacic:
Identifying Precursors to Frequency Fluctuation Events in Electrical Power Generation Data. AusDM 2017: 203-219 - [c43]Md. Shahidul Islam, Russel Pears, Boris Bacic:
Detecting precursor patterns for frequency fluctuation in an electrical grid. SNPD 2017: 219-224 - 2016
- [j15]Sripirakas Sakthithasan, Russel Pears:
Capturing recurring concepts using discrete Fourier transform. Concurr. Comput. Pract. Exp. 28(15): 4013-4035 (2016) - [c42]Chamari I. Kithulgoda, Russel Pears:
Staged Online Learning: A new approach to classification in high speed data streams. IJCNN 2016: 1-8 - [i7]Jacqui Finlay, Russel Pears, Andy M. Connor:
Data stream mining for predicting software build outcomes using source code metrics. CoRR abs/1604.05503 (2016) - 2015
- [j14]Russel Pears, Songwut Pisalpanus, Yun Sing Koh:
A graph based approach to inferring item weights for pattern mining. Expert Syst. Appl. 42(1): 451-461 (2015) - [j13]TheAnh Do, Siau-Cheng Khoo, Alvis Cheuk Ming Fong, Russel Pears, Tho Thanh Quan:
Goal-oriented dynamic test generation. Inf. Softw. Technol. 66: 40-57 (2015) - [c41]Yun Sing Koh, Russel Pears:
HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values. DaWaK 2015: 43-56 - [c40]Sotharith Tauch, William Liu, Russel Pears:
Measuring Cascading Failures for Smart Grids Vulnerability Assessment. DSDIS 2015: 384-389 - [c39]Sripirakas Sakthithasan, Russel Pears, Albert Bifet, Bernhard Pfahringer:
Use of ensembles of Fourier spectra in capturing recurrent concepts in data streams. IJCNN 2015: 1-8 - [c38]Sotharith Tauch, William Liu, Russel Pears:
Measuring cascade effects in interdependent networks by using effective graph resistance. INFOCOM Workshops 2015: 683-688 - [c37]Fahad Bashir Alvi, Russel Pears:
Use of spatio-temporal modeling for age invariant face recognition. IVCNZ 2015: 1-6 - [i6]Sripirakas Sakthithasan, Russel Pears, Albert Bifet, Bernhard Pfahringer:
Use of Ensembles of Fourier Spectra in Capturing Recurrent Concepts in Data Streams. CoRR abs/1504.06366 (2015) - 2014
- [j12]Yun Sing Koh, Russel Pears:
Efficient negative association rule mining based on chance thresholds. Intell. Data Anal. 18(2): 243-260 (2014) - [j11]Jacqui Finlay, Russel Pears, Andy M. Connor:
Data stream mining for predicting software build outcomes using source code metrics. Inf. Softw. Technol. 56(2): 183-198 (2014) - [j10]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): 259-293 (2014) - [c36]Sripirakas Sakthithasan, Russel Pears:
Mining Recurrent Concepts in Data Streams Using the Discrete Fourier Transform. DaWaK 2014: 439-451 - [c35]Srdan Zagorac, Russel Pears:
Web Materialization Formulation: Modelling Feasible Solutions. DEXA (2) 2014: 366-374 - [c34]David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears:
Detecting Volatility Shift in Data Streams. ICDM 2014: 863-868 - [c33]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: 4237-4243 - [c32]David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears:
Detecting Changes in Rare Patterns from Data Streams. PAKDD (2) 2014: 437-448 - [c31]Jacqui Finlay, Russel Pears, Andy M. Connor:
Synthetic Minority Over-sampling TEchnique (SMOTE) for Predicting Software Build Outcomes. SEKE 2014: 546-551 - [i5]Sripirakas Sakthithasan, Russel Pears:
Mining Recurrent Concepts in Data Streams using the Discrete Fourier Transform. CoRR abs/1406.6114 (2014) - [i4]Russel Pears, Jacqui Finlay, Andy M. Connor:
Synthetic Minority Over-sampling TEchnique(SMOTE) for Predicting Software Build Outcomes. CoRR abs/1407.2330 (2014) - [i3]Jacqui Finlay, Andy M. Connor, Russel Pears:
Mining Software Metrics from Jazz. CoRR abs/1407.2541 (2014) - [i2]Dilip Kumar Limbu, Andy M. Connor, Russel Pears, Stephen G. MacDonell:
Improving web search using contextual retrieval. CoRR abs/1407.6101 (2014) - [i1]Andy M. Connor, Jacqui Finlay, Russel Pears:
Mining developer communication data streams. CoRR abs/1407.6104 (2014) - 2013
- [j9]Muhammad Usman, Russel Pears, Alvis Cheuk M. Fong:
Discovering diverse association rules from multidimensional schema. Expert Syst. Appl. 40(15): 5975-5996 (2013) - [j8]Russel Pears, Harya Widiputra, Nikola K. Kasabov:
Evolving integrated multi-model framework for on line multiple time series prediction. Evol. Syst. 4(2): 99-117 (2013) - [j7]Russel Pears, Yun Sing Koh, Gillian Dobbie, Wai K. Yeap:
Weighted association rule mining via a graph based connectivity model. Inf. Sci. 218: 61-84 (2013) - [j6]Muhammad Usman, Russel Pears, Alvis Cheuk M. Fong:
A data mining approach to knowledge discovery from multidimensional cube structures. Knowl. Based Syst. 40: 36-49 (2013) - [c30]David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears:
Tracking Drift Types in Changing Data Streams. ADMA (1) 2013: 72-83 - [c29]Sotharith Tauch, William Liu, Russel Pears:
Cascade effects of load shedding in coupled networks. ICON 2013: 1-6 - [c28]Sripirakas Sakthithasan, Russel Pears, Yun Sing Koh:
One Pass Concept Change Detection for Data Streams. PAKDD (2) 2013: 461-472 - 2012
- [c27]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: 614-625 - [c26]Muhammad Usman, Russel Pears, Alvis Cheuk M. Fong:
Data Guided Approach to Generate Multi-dimensional Schema for Targeted Knowledge Discovery. AusDM 2012: 229-240 - [c25]Yun Sing Koh, Russel Pears, Gillian Dobbie:
Extrapolation Prefix Tree for Data Stream Mining Using a Landmark Model. DaWaK 2012: 340-351 - [c24]TheAnh Do, Alvis Cheuk M. Fong, Russel Pears:
Dynamic Symbolic Execution Guided by Data Dependency Analysis for High Structural Coverage. ENASE (Selected Papers) 2012: 3-15 - [c23]TheAnh Do, Alvis Cheuk M. Fong, Russel Pears:
Precise Guidance to Dynamic Test Generation. ENASE 2012: 5-12 - [c22]TheAnh Do, Alvis Cheuk M. Fong, Russel Pears:
Scalable automated test generation using coverage guidance and random search. AST 2012: 71-75 - [c21]Yun Sing Koh, Russel Pears, Gillian Dobbie:
WeightTransmitter: Weighted Association Rule Mining Using Landmark Weights. PAKDD (2) 2012: 37-48 - 2011
- [j5]Harya Widiputra, Russel Pears, Nikola K. Kasabov:
Dynamic Interaction Networks versus Local Trend Models for Multiple Time-Series Prediction. Cybern. Syst. 42(2): 100-123 (2011) - [j4]Yun Sing Koh, Russel Pears, Gillian Dobbie:
Automatic Item Weight Generation for Pattern Mining and its Application. Int. J. Data Warehous. Min. 7(3): 30-49 (2011) - [c20]Russel Pears, Yun Sing Koh, Gillian Dobbie:
Discriminatory Confidence Analysis in Pattern Mining. ADMA (1) 2011: 285-298 - [c19]TheAnh Do, Alvis Cheuk M. Fong, Russel Pears:
How Effective is Model Checking in Practice? ENASE 2011: 239-244 - [c18]Muhammad Usman, Russel Pears:
Multi Level Mining of Warehouse Schema. NDT 2011: 395-408 - [c17]Harya Widiputra, Russel Pears, Nikola K. Kasabov:
Multiple Time-Series Prediction through Multiple Time-Series Relationships Profiling and Clustered Recurring Trends. PAKDD (2) 2011: 161-172 - [c16]Russel Pears, Yun Sing Koh:
Weighted Association Rule Mining Using Particle Swarm Optimization. PAKDD Workshops 2011: 327-338 - [c15]Yun Sing Koh, Russel Pears, Gillian Dobbie:
Automatic Assignment of Item Weights for Pattern Mining on Data Streams. PAKDD (1) 2011: 387-398 - [c14]Jacqui Finlay, Andy M. Connor, Russel Pears:
Mining Software Metrics from Jazz. SERA 2011: 39-45 - 2010
- [j3]Muhammad Usman, Russel Pears:
Integration of Data Mining and Data Warehousing: A Practical Methodology. Int. J. Adv. Comp. Techn. 2(3): 31-46 (2010) - [c13]Russel Pears, Yun Sing Koh, Gillian Dobbie:
EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining. ADMA (1) 2010: 36-47 - [c12]Yun Sing Koh, Russel Pears, Wai-Kiang Yeap:
Valency Based Weighted Association Rule Mining. PAKDD (1) 2010: 274-285
2000 – 2009
- 2009
- [j2]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): 189-205 (2009) - [c11]Yun Sing Koh, Russel Pears:
Non-Redundant Rare Itemset Generation. AusDM 2009: 69-74 - [c10]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: 114-121 - [c9]Dilip Kumar Limbu, Andrew M. Connor, Russel Pears, Stephen G. MacDonell:
Improving Web Search Using Contextual Retrieval. ITNG 2009: 1329-1334 - [c8]Stefan Hoeglinger, Russel Pears, Yun Sing Koh:
CBDT: A Concept Based Approach to Data Stream Mining. PAKDD 2009: 1006-1012 - [p2]Russel Pears, Bryan Houliston:
Optimization of Multidimensional Aggregates in Data Warehouses. Database Technologies: Concepts, Methodologies, Tools, and Applications 2009: 2324-2347 - 2008
- [c7]Yun Sing Koh, Russel Pears:
Rare Association Rule Mining via Transaction Clustering. AusDM 2008: 87-94 - [c6]Avinash Shankaranarayanan, Christine Amaldas, Russel Pears:
'Blast Those Sequences': A Gridified Framework for Bioinformatics Blast Using the A3pviGrid. BIOTECHNO 2008: 35-40 - [c5]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: 1237-1244 - [c4]Yun Sing Koh, Russel Pears:
Transaction Clustering Using a Seeds Based Approach. PAKDD 2008: 916-922 - [p1]Nikola K. Kasabov, Qun Song, Lubica Benuskova, Paulo C. M. Gottgtroy, Vishal Jain, Anju Verma, Ilkka Havukkala, Elaine Rush, Russel Pears, Alex Tjahjana, Yingjie Hu, Stephen G. MacDonell:
Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support. Computational Intelligence in Biomedicine and Bioinformatics 2008: 93-116 - 2007
- [j1]Russel Pears, Bryan Houliston:
Optimization of Multidimensional Aggregates in Data Warehouses. J. Database Manag. 18(1): 69-93 (2007) - [c3]Russel Pears, Sangeetha Kutty:
FGC: An Efficient Constraint Based Frequent Set Miner. AICCSA 2007: 424-431 - [c2]Yun Sing Koh, Russel Pears:
Efficiently Finding Negative Association Rules Without Support Threshold. Australian Conference on Artificial Intelligence 2007: 710-714 - 2006
- [c1]Dilip Kumar Limbu, Andy M. Connor, Russel Pears, Stephen G. MacDonell:
Contextual relevance feedback in web information retrieval. IIiX 2006: 138-143
Coauthor Index
M. Asif Naeem
aka: Muhammad Asif Naeem
aka: Muhammad Asif Naeem
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last updated on 2024-10-07 22:17 CEST by the dblp team
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