Yanchang Zhao

Orcid: 0000-0002-0209-3971

According to our database1, Yanchang Zhao authored at least 53 papers between 2003 and 2024.

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

Timeline

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Bibliography

2024
TSI: A Multi-View Representation Learning Approach for Time Series Forecasting.
CoRR, 2024

A Deconfounding Approach to Climate Model Bias Correction.
CoRR, 2024

2023
Personalized Interventions to Increase the Employment Success of People With Disability.
IEEE Trans. Big Data, December, 2023

A semi-automated hybrid schema matching framework for vegetation data integration.
Expert Syst. Appl., November, 2023

Facility Relocation Search For Good: When Facility Exposure Meets User Convenience.
Proceedings of the ACM Web Conference 2023, 2023

A Comparative Study of Water Temperature Forecasting Methods.
Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023

2022
Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker?
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Decision Support for Disability Employment using Counterfactual Survival Analysis.
Proceedings of the IEEE International Conference on Big Data, 2022

A Study of the Effectiveness of Correction Factors for Log Transforms in Ensemble Models.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2021
A Framework for Duplicate Detection from Online Job Postings.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

PostMatch: A Framework for Efficient Address Matching.
Proceedings of the Data Mining, 2021

2020
Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Intervention Recommendation for Improving Disability Employment.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Optimising Pump Scheduling for Water Distribution Networks.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Sharpening the BLADE: Missing Data Imputation Using Supervised Machine Learning.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2017
Preface to the Special Section of Selected Papers from the Australasian Conference on Data Mining (AusDM) 2016.
Australas. J. Inf. Syst., 2017

2015
Coupling Analysis Between Twitter and Call Centre.
CoRR, 2015

2011
Combined Mining: Discovering Informative Knowledge in Complex Data.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Enhancing grid-density based clustering for high dimensional data.
J. Syst. Softw., 2011

Agent-Based Subspace Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Flexible Frameworks for Actionable Knowledge Discovery.
IEEE Trans. Knowl. Data Eng., 2010

An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

The Discovery of Hierarchical Cluster Structures Assisted by a Visualization Technique.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

Less Effort, More Outcomes: Optimising Debt Recovery with Decision Trees.
Proceedings of the ICDMW 2010, 2010

2009
Customer Activity Sequence Classification for Debt Prevention in Social Security.
J. Comput. Sci. Technol., 2009

Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Debt Detection in Social Security by Adaptive Sequence Classification.
Proceedings of the Knowledge Science, 2009

Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

2008
Mining Impact-Targeted Activity Patterns in Imbalanced Data.
IEEE Trans. Knowl. Data Eng., 2008

Activity Mining: from Activities to Actions.
Int. J. Inf. Technol. Decis. Mak., 2008

Efficient Mining of Event-Oriented Negative Sequential Rules.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Outlier Mining on Multiple Time Series Data in Stock Market.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Combined Association Rule Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Exception Mining on Multiple Time Series in Stock Market.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

Combined Pattern Mining: From Learned Rules to Actionable Knowledge.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007
DDDM2007: Domain Driven Data Mining.
SIGKDD Explor., 2007

Mining High Impact Exceptional Behavior Patterns.
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

Class Association Rule Mining with Multiple Imbalanced Attributes.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2006
Generalized Dimension-Reduction Framework for Recent-Biased Time Series Analysis.
IEEE Trans. Knowl. Data Eng., 2006

Regularized Semi-supervised Classification on Manifold.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Discovering Debtor Patterns of Centrelink Customers.
Proceedings of the Data Mining and Analytics 2006, 2006

Enhancing DWT for Recent-Biased Dimension Reduction of Time Series Data.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Adapting K-Means Algorithm for Discovering Clusters in Subspaces.
Proceedings of the Frontiers of WWW Research and Development, 2006

Efficient Frequent Itemsets Mining by Sampling.
Proceedings of the Advances in Intelligent IT, 2006

2005
A Recent-Biased Dimension Reduction Technique for Time Series Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Construction Algorithm of Principal Curves in the Sense of Limit.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004
Clustering High-Dimensional Data with Low-Order Neighbors.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Discovering Interesting Association Rules by Clustering.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003
AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003


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