Yun Sing Koh

According to our database1, Yun Sing Koh authored at least 99 papers between 2005 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency.
Data Min. Knowl. Discov., 2021

2020
Real-time Smartphone Activity Classification Using Inertial Sensors - Recognition of Scrolling, Typing, and Watching Videos While Sitting or Walking.
Sensors, 2020

Towards Knowledgeable Supervised Lifelong Learning Systems.
J. Artif. Intell. Res., 2020

Balancing Utility and Fairness against Privacy in Medical Data.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Detecting Concept Drift In Medical Triage.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

GPU-based State Adaptive Random Forest for Evolving Data Streams.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

SLED: Semi-supervised Locally-weighted Ensemble Detector.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Detecting Protected Health Information with an Incremental Learning Ensemble: A Case Study on New Zealand Clinical Text.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Feature Drift Detection in Evolving Data Streams.
Proceedings of the Database and Expert Systems Applications, 2020

2019
Mining local and peak high utility itemsets.
Inf. Sci., 2019

Recurring concept meta-learning for evolving data streams.
Expert Syst. Appl., 2019

Identifying Top-<i>k</i> Nodes in Social Networks: A Survey.
ACM Comput. Surv., 2019

Network Embedding and Change Modeling in Dynamic Heterogeneous Networks.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Supervised Clinical Abbreviations Detection and Normalisation Approach.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Selective Hypothesis Transfer for Lifelong Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Using Transfer Learning to Detect Phishing in Countries with a Small Population.
Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

Classifying Imbalanced Road Accident Data Using Recurring Concept Drift.
Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

Feature Importance for Biomedical Named Entity Recognition.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Items2Data: Generating Synthetic Boolean Datasets from Itemsets.
Proceedings of the Databases Theory and Applications, 2019

Investigating the effect of novel classes in semi-supervised learning.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Evaluating the effectiveness of information retrieval systems using effort-based relevance judgment.
Aslib J. Inf. Manag., 2018

Vehicle emission prediction using remote sensing data and machine learning techniques.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Predicting Concept Drift in Data Streams Using Metadata Clustering.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Volatility Drift Prediction for Transactional Data Streams.
Proceedings of the IEEE International Conference on Data Mining, 2018

Mining Local High Utility Itemsets.
Proceedings of the Database and Expert Systems Applications, 2018

Predicting Air Quality from Low-Cost Sensor Measurements.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

Concept Drift Detector Selection for Hoeffding Adaptive Trees.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

OHC: Uncovering Overlapping Heterogeneous Communities.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Lift-Per-Drift: An Evaluation Metric for Classification Frameworks with Concept Drift Detection.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Discovering High Utility Change Points in Customer Transaction Data.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2017
Effects of objective and subjective competence on the reliability of crowdsourced relevance judgments.
Inf. Res., 2017

mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Volatility Adaptive Classifier System.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

AccGenSVM: Selectively Transferring from Previous Hypotheses.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Unsupervised Rare Pattern Mining: A Survey.
ACM Trans. Knowl. Discov. Data, 2016

Effect of verbal comprehension skill and self-reported features on reliability of crowdsourced relevance judgments.
Comput. Hum. Behav., 2016

Phishing Detection on Twitter Streams.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

CD-TDS: Change detection in transactional data streams for frequent pattern mining.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

CPF: Concept Profiling Framework for Recurring Drifts in Data Streams.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2015
Rare Pattern Mining from Data Streams Using SRP-Tree and Its Variants.
Trans. Large Scale Data Knowl. Centered Syst., 2015

A graph based approach to inferring item weights for pattern mining.
Expert Syst. Appl., 2015

Drift Detection Using Stream Volatility.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

StreamXM: An Adaptive Partitional Clustering Solution for Evolving Data Streams.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

Unsupervised Semantic and Syntactic Based Classification of Scientific Citations.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

Tracking Drift Severity in Data Streams.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

2014
Web usage mining based recommender systems using implicit heterogeneous data: - A Particle Swarm Optimization based clustering approach.
Web Intell. Agent Syst., 2014

Research on particle swarm optimization based clustering: A systematic review of literature and techniques.
Swarm Evol. Comput., 2014

Detecting concept change in dynamic data streams - A sequential approach based on reservoir sampling.
Mach. Learn., 2014

SPAN: Finding collaborative frauds in online auctions.
Knowl. Based Syst., 2014

Efficient negative association rule mining based on chance thresholds.
Intell. Data Anal., 2014

Detecting online auction shilling frauds using supervised learning.
Expert Syst. Appl., 2014

Detection of abnormal profiles on group attacks in recommender systems.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Detecting Changes in Rare Patterns from Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Attack detection in recommender systems based on target item analysis.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Detecting Volatility Shift in Data Streams.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Drift Detector for Memory-Constrained Environments.
Proceedings of the Data Warehousing and Knowledge Discovery, 2014

Web bots detection using Particle Swarm Optimization based clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Finding Interesting Rare Association Rules Using Rare Pattern Tree.
Trans. Large Scale Data Knowl. Centered Syst., 2013

Efficient Single Pass Ordered Incremental Pattern Mining.
Trans. Large Scale Data Knowl. Centered Syst., 2013

Weighted association rule mining via a graph based connectivity model.
Inf. Sci., 2013

Clustering heterogeneous web usage data using Hierarchical Particle Swarm Optimization.
Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013

One Pass Concept Change Detection for Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Analysis of Web Usage Data for Clustering Based Recommender System.
Proceedings of the Trends in Practical Applications of Agents and Multiagent Systems, 2013

Finding Maximal Overlapping Communities.
Proceedings of the Data Warehousing and Knowledge Discovery, 2013

Verb selection using semantic role labeling for citation classification.
Proceedings of the 2013 workshop on Computational scientometrics: theory & applications, 2013

Change Itemset Mining in Data Streams.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

Tracking Drift Types in Changing Data Streams.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

2012
WeightTransmitter: Weighted Association Rule Mining Using Landmark Weights.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Evaluating Fraud Detection Algorithms Using an Auction Data Generator.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Extrapolation Prefix Tree for Data Stream Mining Using a Landmark Model.
Proceedings of the Data Warehousing and Knowledge Discovery, 2012

Rare Pattern Mining on Data Streams.
Proceedings of the Data Warehousing and Knowledge Discovery, 2012

Hierarchical PSO clustering based recommender system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Indirect Weighted Association Rules Mining for Academic Network Collaboration Recommendations.
Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012

Generating Realistic Online Auction Data.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

Kernel-Tree: Mining Frequent Patterns in a Data Stream Based on Forecast Support.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
Automatic Item Weight Generation for Pattern Mining and its Application.
Int. J. Data Warehous. Min., 2011

Weighted Association Rule Mining Using Particle Swarm Optimization.
Proceedings of the New Frontiers in Applied Data Mining, 2011

Automatic Assignment of Item Weights for Pattern Mining on Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

RP-Tree: Rare Pattern Tree Mining.
Proceedings of the Data Warehousing and Knowledge Discovery, 2011

SPO-Tree: Efficient Single Pass Ordered Incremental Pattern Mining.
Proceedings of the Data Warehousing and Knowledge Discovery, 2011

Discriminatory Confidence Analysis in Pattern Mining.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010
Valency Based Weighted Association Rule Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009
CBDT: A Concept Based Approach to Data Stream Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Non-Redundant Rare Itemset Generation.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

2008
Mining interesting imperfectly sporadic rules.
Knowl. Inf. Syst., 2008

Finding sporadic rules in the diagnosis of the Erythemato-Squamous diseases.
Intell. Data Anal., 2008

Transaction Clustering Using a Seeds Based Approach.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Mining Non-coincidental Rules without a User Defined Support Threshold.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Rare Association Rule Mining via Transaction Clustering.
Proceedings of the Data Mining and Analytics 2008, 2008

2007
Efficiently Finding Negative Association Rules Without Support Threshold.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2006
Finding Non-Coincidental Sporadic Rules Using Apriori-Inverse.
Int. J. Data Warehous. Min., 2006

2005
Finding Sporadic Rules Using Apriori-Inverse.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005


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