AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets. - Yanchang Zhao; Song Junde (PAKDD, 2003)

Discovering Interesting Association Rules by Clustering. - Yanchang Zhao; Chengqi Zhang; Shichao Zhang 001 (Australian Conference on Artificial Intelligence, 2004)

Clustering High-Dimensional Data with Low-Order Neighbors. - Yanchang Zhao; Chengqi Zhang; Yi-Dong Shen (Web Intelligence, 2004)

Construction Algorithm of Principal Curves in the Sense of Limit. - Lianwei Zhao; Yanchang Zhao; Siwei Luo; Chao Shao (Australian Conference on Artificial Intelligence, 2005)

A Recent-Biased Dimension Reduction Technique for Time Series Data. - Yanchang Zhao; Chengqi Zhang; Shichao Zhang 001 (PAKDD, 2005)

Efficient Frequent Itemsets Mining by Sampling. - Yanchang Zhao; Chengqi Zhang; Shichao Zhang 001 (AMT, 2006)

Adapting K-Means Algorithm for Discovering Clusters in Subspaces. - Yanchang Zhao; Chengqi Zhang; Shichao Zhang 001; Lianwei Zhao (APWeb, 2006)

Enhancing DWT for Recent-Biased Dimension Reduction of Time Series Data. - Yanchang Zhao; Chengqi Zhang; Shichao Zhang 001 (Australian Conference on Artificial Intelligence, 2006)

Discovering Debtor Patterns of Centrelink Customers. - Yanchang Zhao; Longbing Cao; Yvonne Morrow; Yuming Ou; Jiarui Ni; Chengqi Zhang (AusDM, 2006)

Regularized Semi-supervised Classification on Manifold. - Lianwei Zhao; Siwei Luo; Yanchang Zhao; Lingzhi Liao; Zhihai Wang (PAKDD, 2006)

Generalized Dimension-Reduction Framework for Recent-Biased Time Series Analysis. - Yanchang Zhao; Shichao Zhang 001 (IEEE Trans. Knowl. Data Eng., 2006)

Class Association Rule Mining with Multiple Imbalanced Attributes. - Huaifeng Zhang; Yanchang Zhao; Longbing Cao; Chengqi Zhang (Australian Conference on Artificial Intelligence, 2007)

Mining High Impact Exceptional Behavior Patterns. - Longbing Cao; Yanchang Zhao; Fernando Figueiredo; Yuming Ou; Dan Luo 001 (PAKDD Workshops, 2007)

DDDM2007: Domain Driven Data Mining. - Longbing Cao; Chengqi Zhang; Yanchang Zhao; Philip S. Yu; Graham Williams (SIGKDD Explor., 2007)

Combined Pattern Mining: From Learned Rules to Actionable Knowledge. - Yanchang Zhao; Huaifeng Zhang; Longbing Cao; Chengqi Zhang; Hans Bohlscheid (Australasian Conference on Artificial Intelligence, 2008)

Exception Mining on Multiple Time Series in Stock Market. - Chao Luo; Yanchang Zhao; Longbing Cao; Yuming Ou; Chengqi Zhang (Web Intelligence/IAT Workshops, 2008)

Combined Association Rule Mining. - Huaifeng Zhang; Yanchang Zhao; Longbing Cao; Chengqi Zhang (PAKDD, 2008)

Outlier Mining on Multiple Time Series Data in Stock Market. - Chao Luo; Yanchang Zhao; Longbing Cao; Yuming Ou; Li Liu 033 (PRICAI, 2008)

Efficient Mining of Event-Oriented Negative Sequential Rules. - Yanchang Zhao; Huaifeng Zhang; Longbing Cao; Chengqi Zhang; Hans Bohlscheid (Web Intelligence, 2008)

Activity Mining: from Activities to Actions. - Longbing Cao; Yanchang Zhao; Chengqi Zhang; Huaifeng Zhang (Int. J. Inf. Technol. Decis. Mak., 2008)

Mining Impact-Targeted Activity Patterns in Imbalanced Data. - Longbing Cao; Yanchang Zhao; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2008)

Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns. - Zhigang Zheng; Yanchang Zhao; Ziye Zuo; Longbing Cao (AusDM, 2009)

Debt Detection in Social Security by Adaptive Sequence Classification. - Shanshan Wu; Yanchang Zhao; Huaifeng Zhang; Chengqi Zhang; Longbing Cao; Hans Bohlscheid (KSEM, 2009)

Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data. - Yanchang Zhao; Huaifeng Zhang; Longbing Cao; Chengqi Zhang; Hans Bohlscheid (PAKDD, 2009)

Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns. - Yanchang Zhao; Huaifeng Zhang; Shanshan Wu; Jian Pei 001; Longbing Cao; Chengqi Zhang; Hans Bohlscheid (ECML/PKDD (2), 2009)

Customer Activity Sequence Classification for Debt Prevention in Social Security. - Huaifeng Zhang; Yanchang Zhao; Longbing Cao; Chengqi Zhang; Hans Bohlscheid (J. Comput. Sci. Technol., 2009)

Less Effort, More Outcomes: Optimising Debt Recovery with Decision Trees. - Yanchang Zhao; Hans Bohlscheid; Shanshan Wu; Longbing Cao (ICDM Workshops, 2010)

The Discovery of Hierarchical Cluster Structures Assisted by a Visualization Technique. - Ke-Bing Zhang; Mehmet A. Orgun; Yanchang Zhao; Abhaya C. Nayak (ICONIP (1), 2010)

An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns. - Zhigang Zheng; Yanchang Zhao; Ziye Zuo; Longbing Cao (PAKDD (1), 2010)

Flexible Frameworks for Actionable Knowledge Discovery. - Longbing Cao; Yanchang Zhao; Huaifeng Zhang; Dan Luo 001; Chengqi Zhang; Eun K. Park (IEEE Trans. Knowl. Data Eng., 2010)

e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning. - Xiangjun Dong 001; Zhigang Zheng; Longbing Cao; Yanchang Zhao; Chengqi Zhang; Jinjiu Li; Wei Wei 039; Yuming Ou (CIKM, 2011)

Agent-Based Subspace Clustering. - Chao Luo; Yanchang Zhao; Dan Luo 001; Chengqi Zhang; Wei Cao (PAKDD (2), 2011)

Enhancing grid-density based clustering for high dimensional data. - Yanchang Zhao; Jie Cao 001; Chengqi Zhang; Shichao Zhang 001 (J. Syst. Softw., 2011)

Combined Mining: Discovering Informative Knowledge in Complex Data. - Longbing Cao; Huaifeng Zhang; Yanchang Zhao; Dan Luo 001; Chengqi Zhang (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Coupling Analysis Between Twitter and Call Centre. - Fangfang Li; Yanchang Zhao; Klaus Felsche; Guandong Xu; Longbing Cao (CoRR, 2015)

Preface to the Special Section of Selected Papers from the Australasian Conference on Data Mining (AusDM) 2016. - Kok-Leong Ong; Zahid Islam 001; Yanchang Zhao (Australas. J. Inf. Syst., 2017)

Sharpening the BLADE: Missing Data Imputation Using Supervised Machine Learning. - Marcus Suresh; Ronnie Taib; Yanchang Zhao; Warren Jin 001 (Australasian Conference on Artificial Intelligence, 2019)

Optimising Pump Scheduling for Water Distribution Networks. - Yanchang Zhao; Bin Liang 003; Yang Wang 002; Shaobo Dang; Ronnie Taib; Fang Chen 001; Tin Hua; Dammika Vitanage; Corinna Doolan (Australasian Conference on Artificial Intelligence, 2019)

Intervention Recommendation for Improving Disability Employment. - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Jixue Liu; Yanchang Zhao; Tony Waters (IEEE BigData, 2020)

Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices. - Qinyong Wang; Hongzhi Yin; Tong Chen 005; Zi Huang; Hao Wang 005; Yanchang Zhao; Nguyen Quoc Viet Hung (WWW, 2020)

PostMatch: A Framework for Efficient Address Matching. - Darren Yates; Md Zahidul Islam 001; Yanchang Zhao; Richi Nayak; Vladimir Estivill-Castro; Salil S. Kanhere (AusDM, 2021)

Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability. - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Jixue Liu; Yanchang Zhao; Tony Waters (KDD, 2021)

A Framework for Duplicate Detection from Online Job Postings. - Yanchang Zhao; Haohui Chen; Claire M. Mason (WI/IAT, 2021)

A Study of the Effectiveness of Correction Factors for Log Transforms in Ensemble Models. - Ray Lindsay; Yanchang Zhao (ADMA (2), 2022)

Decision Support for Disability Employment using Counterfactual Survival Analysis. - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Jixue Liu; Yanchang Zhao; Tony Waters (IEEE Big Data, 2022)

What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker? - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Jixue Liu; Yanchang Zhao; Tony Waters (KDD, 2022)

Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers. - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Jixue Liu; Yanchang Zhao; Tony Waters (PAKDD (3), 2022)

A Comparative Study of Water Temperature Forecasting Methods. - Devesh Bhogal; Yanchang Zhao; Reena Kapoor; Peter J. Toscas (WI/IAT, 2023)

Facility Relocation Search For Good: When Facility Exposure Meets User Convenience. - Hui Luo 001; Zhifeng Bao; J. Shane Culpepper; Mingzhao Li 001; Yanchang Zhao (WWW, 2023)

A semi-automated hybrid schema matching framework for vegetation data integration. - Md. Asif-Ur-Rahman; Bayzid Ashik Hossain; Michael Bewong; Md Zahidul Islam 001; Yanchang Zhao; Jeremy Groves; Rory Judith (Expert Syst. Appl., 2023)

Personalized Interventions to Increase the Employment Success of People With Disability. - Ha Xuan Tran; Thuc Duy Le; Jiuyong Li; Lin Liu 003; Jixue Liu; Yanchang Zhao; Tony Waters (IEEE Trans. Big Data, 2023)

DBSSM: Deep BERT-Based Semantic Skill Matching from Resumes to a Public Skill Taxonomy. - Haohui Chen; Claire M. Mason; Qinyong Wang; Yanchang Zhao (AI (1), 2024)

TSI: A Multi-view Representation Learning Approach for Time Series Forecasting. - Wentao Gao; Ziqi Xu 001; Jiuyong Li; Lin Liu 003; Jixue Liu; Thuc Duy Le; Debo Cheng; Yanchang Zhao; Yun Chen 010 (AI (1), 2024)

A Deconfounding Approach to Climate Model Bias Correction. - Wentao Gao; Jiuyong Li; Debo Cheng; Lin Liu 003; Jixue Liu; Thuc Duy Le; Xiaojing Du; Xiongren Chen; Yanchang Zhao; Yun Chen 010 (CoRR, 2024)

Representative Time Series Discovery for Data Exploration. - Ge Lee; Shixun Huang; Zhifeng Bao; Yanchang Zhao (Proc. VLDB Endow., 2024)