Yun Sing Koh

发表

Extrapolation Prefix Tree for Data Stream Mining Using a Landmark Model

Gillian Dobbie, Yun Sing Koh, Russel Pears, 2012, DaWaK.

Research on particle swarm optimization based clustering: A systematic review of literature and techniques

Gillian Dobbie, Yun Sing Koh, Saeed Ur Rehman, 2014, Swarm Evol. Comput..

Data Mining: 16th Australasian Conference, AusDM 2018: Revised Selected Papers

Yanchang Zhao, Yun Sing Koh, Rafiqul Islam, 2019 .

Weighted association rule mining via a graph based connectivity model

Gillian Dobbie, Yun Sing Koh, Russel Pears, 2013, Inf. Sci..

Mining interesting imperfectly sporadic rules

Yun Sing Koh, Richard A. O'Keefe, Nathan Rountree, 2006, Knowledge and Information Systems.

Drift Detector for Memory-Constrained Environments

Gillian Dobbie, Yun Sing Koh, Timothy D. Robinson, 2014, DaWaK.

Web bots detection using Particle Swarm Optimization based clustering

Gillian Dobbie, Yun Sing Koh, Shafiq Alam, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Data Mining: 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, Australia, November 28–30, 2018, Revised Selected Papers

Yanchang Zhao, Chang-Tsun Li, Yun Sing Koh, 2019, Communications in Computer and Information Science.

Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection

Yun Sing Koh, Nathan Rountree, Nathan Rountree, 2009 .

Finding Maximal Overlapping Communities

Gillian Dobbie, Yun Sing Koh, Eileen H.-C. Wei, 2013, DaWaK.

EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining

Gillian Dobbie, Yun Sing Koh, Russel Pears, 2010, ADMA.

Generating Realistic Online Auction Data

Gillian Dobbie, Yun Sing Koh, Sidney Tsang, 2012, Australasian Conference on Artificial Intelligence.

Concept Drift Detector Selection for Hoeffding Adaptive Trees

Yun Sing Koh, Philippe Fournier-Viger, Sri Devi Ravana, 2018, Australasian Conference on Artificial Intelligence.

Real-time Smartphone Activity Classification Using Inertial Sensors—Recognition of Scrolling, Typing, and Watching Videos While Sitting or Walking

Gillian Dobbie, Yun Sing Koh, Giovanni Russello, 2020, Sensors.

Shilling Attacks Detection in Recommender Systems Based on Target Item Analysis

Gillian Dobbie, Junhao Wen, Min Gao, 2015, PloS one.

Effects of objective and subjective competence on the reliability of crowdsourced relevance judgments

Yun Sing Koh, William Webber, Parnia Samimi, 2017, Inf. Res..

Identifying Top-k Nodes in Social Networks

Gillian Dobbie, Yun Sing Koh, Anna Divoli, 2019, ACM Comput. Surv..

Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems

Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer, 2018, ECML/PKDD.

Clustering heterogeneous web usage data using Hierarchical Particle Swarm Optimization

Gillian Dobbie, Yun Sing Koh, Shafiq Alam, 2013, 2013 IEEE Symposium on Swarm Intelligence (SIS).

Indirect Weighted Association Rules Mining for Academic Network Collaboration Recommendations

Gillian Dobbie, Yun Sing Koh, G. Dobbie, 2012, AusDM.

PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams

Yun Sing Koh, Gillian Dobbie, Thomas Lacombe, 2020, PAKDD.

Detecting Volatility Shift in Data Streams

Gillian Dobbie, Yun Sing Koh, Russel Pears, 2014, 2014 IEEE International Conference on Data Mining.

CD-TDS: Change detection in transactional data streams for frequent pattern mining

Yun Sing Koh, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Detecting online auction shilling frauds using supervised learning

Gillian Dobbie, Yun Sing Koh, Shafiq Alam, 2014, Expert Syst. Appl..

Efficient Single Pass Ordered Incremental Pattern Mining

Gillian Dobbie, Yun Sing Koh, 2013, Trans. Large Scale Data Knowl. Centered Syst..

mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets

Yun Sing Koh, Patricia Riddle, Alex Yuxuan Peng, 2017, PAKDD.

SPO-Tree: Efficient Single Pass Ordered Incremental Pattern Mining

Gillian Dobbie, Yun Sing Koh, G. Dobbie, 2011, DaWaK.

Finding Sporadic Rules Using Apriori-Inverse

Yun Sing Koh, Nathan Rountree, Nathan Rountree, 2005, PAKDD.

AccGenSVM: Selectively Transferring from Previous Hypotheses

Yun Sing Koh, Patricia Riddle, Diana Benavides Prado, 2017, IJCAI.

Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks

Yun Sing Koh, Patricia Riddle, Kylie Chen, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Biologically-Inspired Techniques for Knowledge Discovery and Data Mining

Gillian Dobbie, Yun Sing Koh, Saeed Ur Rehman, 2014 .

Volatility Adaptive Classifier System

Gillian Dobbie, Yun Sing Koh, Ruolin Jia, 2017, PAKDD.

Tracking Drift Severity in Data Streams

Yun Sing Koh, Patricia Riddle, Kylie Chen, 2015, Australasian Conference on Artificial Intelligence.

OHC: Uncovering Overlapping Heterogeneous Communities

Gillian Dobbie, Yun Sing Koh, Anna Divoli, 2018, Australasian Conference on Artificial Intelligence.

Feature Drift Detection in Evolving Data Streams

Di Zhao, Yun Sing Koh, 2020, DEXA.

Network Embedding and Change Modeling in Dynamic Heterogeneous Networks

Gillian Dobbie, Yun Sing Koh, Anna Divoli, 2019, SIGIR.

Rare Pattern Mining on Data Streams

Gillian Dobbie, Yun Sing Koh, David Tse Jung Huang, 2012, DaWaK.

Phishing Detection on Twitter Streams

Gillian Dobbie, Yun Sing Koh, Se Yeong Jeong, 2016, PAKDD Workshops.

Weighted Association Rule Mining Using Particle Swarm Optimization

Yun Sing Koh, Russel Pears, R. Pears, 2011, PAKDD Workshops.

New Frontiers in Applied Data Mining: PAKDD 2011 International Workshops

Longbing Cao, Joshua Zhexue Huang, Yun Sing Koh, 2012 .

CPF: Concept Profiling Framework for Recurring Drifts in Data Streams

Gillian Dobbie, Yun Sing Koh, Robert Anderson, 2016, Australasian Conference on Artificial Intelligence.

Change Itemset Mining in Data Streams

Gillian Dobbie, Yun Sing Koh, Minmin Zhang, 2013, ADMA.

Verb selection using semantic role labeling for citation classification

Gillian Dobbie, Yun Sing Koh, Shafiq Alam, 2013, CompSci '13.

Predicting Concept Drift in Data Streams Using Metadata Clustering

Gillian Dobbie, Yun Sing Koh, Robert Anderson, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Lift-Per-Drift: An Evaluation Metric for Classification Frameworks with Concept Drift Detection

Gillian Dobbie, Yun Sing Koh, Robert Anderson, 2018, Australasian Conference on Artificial Intelligence.

Rare Association Rule Mining: An Overview

Yun Sing Koh, Nathan Rountree, 2010 .

One Pass Concept Change Detection for Data Streams

Yun Sing Koh, Russel Pears, Sripirakas Sakthithasan, 2013, PAKDD.

Volatility Drift Prediction for Transactional Data Streams

Gillian Dobbie, Yun Sing Koh, David Tse Jung Huang, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Automatic Assignment of Item Weights for Pattern Mining on Data Streams

Gillian Dobbie, Yun Sing Koh, Russel Pears, 2011, PAKDD.

Evaluating the effectiveness of information retrieval systems using effort-based relevance judgment

Yun Sing Koh, Vimala Balakrishnan, Prabha Rajagopal, 2018, Aslib J. Inf. Manag..

Towards Knowledgeable Supervised Lifelong Learning Systems

Yun Sing Koh, Diana Benavides Prado, Patricia Riddle, 2020, J. Artif. Intell. Res..

Mining Non-coincidental Rules without a User Defined Support Threshold

Yun Sing Koh, 2008, PAKDD.

HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values

Yun Sing Koh, Russel Pears, R. Pears, 2015, DaWaK.

Valency Based Weighted Association Rule Mining

Yun Sing Koh, Russel Pears, Wai-Kiang Yeap, 2010, PAKDD.

Finding Interesting Rare Association Rules Using Rare Pattern Tree

Gillian Dobbie, Yun Sing Koh, Sidney Tsang, 2013, Trans. Large Scale Data Knowl. Centered Syst..

Mining Local High Utility Itemsets

Yun Sing Koh, Hamido Fujita, Philippe Fournier-Viger, 2018, DEXA.

Efficient negative association rule mining based on chance thresholds

Yun Sing Koh, Russel Pears, 2014, Intell. Data Anal..

Detecting concept change in dynamic data streams

Yun Sing Koh, Russel Pears, Sripirakas Sakthithasan, 2013, Machine Learning.

Rare Association Rule Mining via Transaction Clustering

Yun Sing Koh, Russel Pears, 2008, AusDM.

Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle

Gillian Dobbie, Yun Sing Koh, David Tse Jung Huang, 2018, AusDM.

Using Transfer Learning to Detect Phishing in Countries with a Small Population

Yun Sing Koh, Gillian Dobbie, Wernsen Wong, 2019, AusDM.

Detecting Changes in Rare Patterns from Data Streams

Gillian Dobbie, Yun Sing Koh, Russel Pears, 2014, PAKDD.

Vehicle emission prediction using remote sensing data and machine learning techniques

Gillian Dobbie, Yun Sing Koh, Jiazhen Chen, 2018, SAC.

Recurring Concept Meta-learning for Evolving Data Streams

Gillian Dobbie, Yun Sing Koh, Albert Bifet, 2019, Expert Syst. Appl..

Effect of verbal comprehension skill and self-reported features on reliability of crowdsourced relevance judgments

Yun Sing Koh, Parnia Samimi, Sri Devi Ravana, 2016, Comput. Hum. Behav..

Attack detection in recommender systems based on target item analysis

Gillian Dobbie, Junhao Wen, Wei Zhou, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

StreamXM: An Adaptive Partitional Clustering Solution for Evolving Data Streams

Yun Sing Koh, Robert Anderson, Robert Anderson, 2015, DaWaK.

Evaluating Fraud Detection Algorithms Using an Auction Data Generator

Gillian Dobbie, Yun Sing Koh, Sidney Tsang, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

RP-Tree: Rare Pattern Tree Mining

Gillian Dobbie, Yun Sing Koh, Sidney Tsang, 2011, DaWaK.

Proceedings of the 15th international conference on New Frontiers in Applied Data Mining

Longbing Cao, Joshua Zhexue Huang, Yun Sing Koh, 2011 .

Web usage mining based recommender systems using implicit heterogeneous data: - A Particle Swarm Optimization based clustering approach

Yun Sing Koh, Gillian Dobbie, Shafiq Alam, 2014, Web Intell. Agent Syst..

Items2Data: Generating Synthetic Boolean Datasets from Itemsets

Gillian Dobbie, Yun Sing Koh, Ian Shane Wong, 2019, ADC.

Tracking Drift Types in Changing Data Streams

Gillian Dobbie, Yun Sing Koh, Russel Pears, 2013, ADMA.

CBDT: A Concept Based Approach to Data Stream Mining

Yun Sing Koh, Russel Pears, Stefan Hoeglinger, 2009, PAKDD.

WeightTransmitter: Weighted Association Rule Mining Using Landmark Weights

Gillian Dobbie, Yun Sing Koh, Russel Pears, 2012, PAKDD.

A graph based approach to inferring item weights for pattern mining

Yun Sing Koh, Russel Pears, Songwut Pisalpanus, 2015, Expert Syst. Appl..

SLED: Semi-supervised Locally-weighted Ensemble Detector

Gillian Dobbie, Yun Sing Koh, David Tse Jung Huang, 2020, 2020 IEEE 36th International Conference on Data Engineering (ICDE).

Feature Importance for Biomedical Named Entity Recognition

Yun Sing Koh, Edmond Zhang, Aaron Zhang, 2019, Australasian Conference on Artificial Intelligence.

Transaction Clustering Using a Seeds Based Approach

Yun Sing Koh, Russel Pears, 2008, PAKDD.

SPAN: Finding collaborative frauds in online auctions

Gillian Dobbie, Yun Sing Koh, Shafiq Alam, 2014, Knowl. Based Syst..

Efficiently Finding Negative Association Rules Without Support Threshold

Yun Sing Koh, Russel Pears, 2007, Australian Conference on Artificial Intelligence.

Kernel-Tree: Mining Frequent Patterns in a Data Stream Based on Forecast Support

Gillian Dobbie, Yun Sing Koh, Russel Pears, 2012, Australasian Conference on Artificial Intelligence.

New Frontiers in Applied Data Mining

James Bailey, Longbing Cao, Joshua Zhexue Huang, 2011, Lecture Notes in Computer Science.

Balancing Utility and Fairness against Privacy in Medical Data

Yun Sing Koh, Jörg Wicker, Quan Sun, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Investigating the effect of novel classes in semi-supervised learning

Yun Sing Koh, Bernhard Pfahringer, Patricia Riddle, 2019, ACML.

Non-Redundant Rare Itemset Generation

Yun Sing Koh, Russel Pears, R. Pears, 2009, AusDM.

Interestingness Measures for Association Rules: What Do They Really Measure?

Yun Sing Koh, Richard A. O'Keefe, Nathan Rountree, 2008 .

Rare Pattern Mining from Data Streams Using SRP-Tree and Its Variants

Gillian Dobbie, Yun Sing Koh, David Tse Jung Huang, 2015, Trans. Large Scale Data Knowl. Centered Syst..

Biologically Inspired Techniques for Data Mining: A Brief Overview of Particle Swarm Optimization for KDD. Alam

Yun Sing Koh, Saeed Ur Rehman, Dobbie Gillian, 2014 .

Mining local and peak high utility itemsets

Yun Sing Koh, Hamido Fujita, Philippe Fournier-Viger, 2019, Inf. Sci..

Finding Non-Coincidental Sporadic Rules Using Apriori-Inverse

Yun Sing Koh, Richard A. O'Keefe, Nathan Rountree, 2006, Int. J. Data Warehous. Min..

GPU-based State Adaptive Random Forest for Evolving Data Streams

Yun Sing Koh, Giovanni Russello, Ocean Wu, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Detecting Concept Drift In Medical Triage

Gillian Dobbie, Yun Sing Koh, Edmond Zhang, 2020, SIGIR.

A Multi-Methodological Approach to Rare Association Rule Mining

Yun Sing Koh, Russel Pears, 2010 .

Hierarchical PSO clustering based recommender system

Gillian Dobbie, Yun Sing Koh, Shafiq Alam, 2012, 2012 IEEE Congress on Evolutionary Computation.

Predicting Air Quality from Low-Cost Sensor Measurements

Yun Sing Koh, Patricia Riddle, Gustavo Olivares, 2018, AusDM.

Discovering High Utility Change Points in Customer Transaction Data

Yun Sing Koh, Philippe Fournier-Viger, Chun-Wei Lin, 2018, ADMA.

Detection of abnormal profiles on group attacks in recommender systems

Gillian Dobbie, Junhao Wen, Wei Zhou, 2014, SIGIR.

Automatic Item Weight Generation for Pattern Mining and its Application

Gillian Dobbie, Yun Sing Koh, Russel Pears, 2011, Int. J. Data Warehous. Min..

Finding sporadic rules in the diagnosis of the Erythemato-Squamous diseases

Yun Sing Koh, 2008, Intell. Data Anal..

Drift Detection Using Stream Volatility

Gillian Dobbie, Yun Sing Koh, Albert Bifet, 2015, ECML/PKDD.

Discriminatory Confidence Analysis in Pattern Mining

Gillian Dobbie, Yun Sing Koh, Russel Pears, 2011, ADMA.

Mining Interesting Imperfectly Sporadic Rules

Yun Sing Koh, Richard A. O'Keefe, Nathan Rountree, 2006, PAKDD.

Analysis of Web Usage Data for Clustering Based Recommender System

Gillian Dobbie, Yun Sing Koh, Shafiq Alam, 2013, PAAMS.

Selective Hypothesis Transfer for Lifelong Learning

Yun Sing Koh, Diana Benavides Prado, Patricia Riddle, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Unsupervised Semantic and Syntactic Based Classification of Scientific Citations

Gillian Dobbie, Yun Sing Koh, Mohammad Abdullatif, 2015, DaWaK.

Detecting Protected Health Information with an Incremental Learning Ensemble: A Case Study on New Zealand Clinical Text

Yun Sing Koh, Edmond Zhang, Quan Sun, 2020, 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA).

Supervised Clinical Abbreviations Detection and Normalisation Approach

Yun Sing Koh, Xiaolong Huang, Edmond Zhang, 2019, PRICAI.

A Survey of Sequential Pattern Mining

Yun Sing Koh, Jerry Chun-Wei Lin, Philippe Fournier-Viger, 2017 .

Classifying Imbalanced Road Accident Data Using Recurring Concept Drift

Yun Sing Koh, Gillian Dobbie, Robert Anderson, 2019, AusDM.

Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams

Yun Sing Koh, Philippe Fournier-Viger, David Tse Jung Huang, 2019, PRICAI.

Evaluating Unsupervised Text Embeddings on Software User Feedback

Kelly Blincoe, Yun Sing Koh, Peter Devine, 2021, 2021 IEEE 29th International Requirements Engineering Conference Workshops (REW).

Transfer Learning with Adaptive Online TrAdaBoost for Data Streams

Gillian Dobbie, Yun Sing Koh, Thomas Lacombe, 2021, ACML.

Continual Correction of Errors Using Smart Memory Replay

Yun Sing Koh, Diana Benavides-Prado, Callum Cory, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency

Mykola Pechenizkiy, Yun Sing Koh, Russel Pears, 2021, Data Mining and Knowledge Discovery.

Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification

Mykola Pechenizkiy, Yun Sing Koh, Russel Pears, 2021, 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA).

Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification

Mykola Pechenizkiy, Yun Sing Koh, Russel Pears, 2021, 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA).

Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information

Mykola Pechenizkiy, Yun Sing Koh, Russel Pears, 2021, 2021 IEEE 37th International Conference on Data Engineering (ICDE).

Nacre: Proactive Recurrent Concept Drift Detection in Data Streams

Gillian Dobbie, Yun Sing Koh, Thomas Lacombe, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Evaluating Software User Feedback Classifiers on Unseen Apps, Datasets, and Metadata pdf

Kelly Blincoe, Yun Sing Koh, Peter Devine, 2021, ArXiv.

Understanding the Effects of Mitigation on De-identified Data

Yun Sing Koh, Andrew Chester, Junjae Lee, 2021, IEA/AIE.

Probabilistic exact adaptive random forest for recurrent concepts in data streams

Gillian Dobbie, Yun Sing Koh, Thomas Lacombe, 2021, International Journal of Data Science and Analytics.

A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams

Gillian Dobbie, Yun Sing Koh, Thomas Lacombe, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

DRAFT 0 Unsupervised Rare Pattern Mining : A Survey

Yun Sing Koh, 2016 .

The University of Auckland New Zealand Characterizing Drifts for Proactive Drift Detection in Data Streams Kylie Chen May 2016 Supervisors :

Yun Sing Koh, Kylie Chen, 2016 .

Measuring Drift Severity by Tree Structure Classifiers

Yun Sing Koh, Philippe Fournier-Viger, Di Zhao, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

What’s Inside a Cluster of Software User Feedback: A Study of Characterisation Methods

Yun Sing Koh, K. Blincoe, James Tizard, 2022, 2022 IEEE 30th International Requirements Engineering Conference (RE).

A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams

Yun Sing Koh, G. Dobbie, T. Lacombe, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Nacre: Proactive Recurrent Concept Drift Detection in Data Streams

Yun Sing Koh, G. Dobbie, T. Lacombe, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

SoK: Human-Centered Phishing Susceptibility

Yun Sing Koh, G. Russello, Danielle M Lottridge, 2022, ACM Transactions on Privacy and Security.

What You See is Not What You Get: The Role of Email Presentation in Phishing Susceptibility

Yun Sing Koh, G. Russello, Danielle M Lottridge, 2023, ArXiv.

Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech

Yun Sing Koh, Michael Witbrock, Aaron Keesing, 2021, Interspeech.

Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata

Yun Sing Koh, Peter Devine, Kelly Blincoe, 2023, Empirical Software Engineering.

Detecting concept change in dynamic data streams

Yun Sing Koh, R. Pears, Sripirakas Sakthithasan, 2014, Machine Learning.

A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams

Yun Sing Koh, A. Bifet, Mykola Pechenizkiy, 2022, 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA).

Unsupervised Rare Pattern Mining

Yun Sing Koh, Sri Devi Ravana, Yun Sing Koh, 2016, ACM Trans. Knowl. Discov. Data.

Symmetric Self-Paced Learning for Domain Generalization

Yun Sing Koh, Di Zhao, Gillian Dobbie, 2024, AAAI.