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2020 – today
- 2024
[i4]Wentao Gao, Jiuyong Li
, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yanchang Zhao, Yun Chen:
A Deconfounding Approach to Climate Model Bias Correction. CoRR abs/2408.12063 (2024)- [i3]Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen:
TSI: A Multi-View Representation Learning Approach for Time Series Forecasting. CoRR abs/2409.19871 (2024) - 2023
- [j11]Md. Asif-Ur-Rahman, Bayzid Ashik Hossain, Michael Bewong, Md Zahidul Islam, Yanchang Zhao, Jeremy Groves, Rory Judith:
A semi-automated hybrid schema matching framework for vegetation data integration. Expert Syst. Appl. 229(Part A): 120405 (2023) - [j10]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Personalized Interventions to Increase the Employment Success of People With Disability. IEEE Trans. Big Data 9(6): 1561-1574 (2023) - [c39]Devesh Bhogal, Yanchang Zhao, Reena Kapoor, Peter Toscas:
A Comparative Study of Water Temperature Forecasting Methods. WI/IAT 2023: 325-329 - [c38]Hui Luo, Zhifeng Bao, J. Shane Culpepper, Mingzhao Li, Yanchang Zhao:
Facility Relocation Search For Good: When Facility Exposure Meets User Convenience. WWW 2023: 3937-3947 - [i2]Md. Asif-Ur-Rahman, Bayzid Ashik Hossain, Michael Bewong, Md Zahidul Islam, Yanchang Zhao, Jeremy Groves, Rory Judith:
A Semi-Automated Hybrid Schema Matching Framework for Vegetation Data Integration. CoRR abs/2305.06528 (2023) - 2022
- [c37]Ray Lindsay, Yanchang Zhao:
A Study of the Effectiveness of Correction Factors for Log Transforms in Ensemble Models. ADMA (2) 2022: 474-483 - [c36]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Decision Support for Disability Employment using Counterfactual Survival Analysis. IEEE Big Data 2022: 2103-2112 - [c35]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker? KDD 2022: 3981-3991 - [c34]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers. PAKDD (3) 2022: 92-104 - [e7]Laurence A. F. Park, Heitor Murilo Gomes, Maryam Gholami Doborjeh, Yee Ling Boo, Yun Sing Koh, Yanchang Zhao, Graham J. Williams, Simeon Simoff:
Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022, Proceedings. Communications in Computer and Information Science 1741, Springer 2022, ISBN 978-981-19-8745-8 [contents] - 2021
- [c33]Darren Yates, Md Zahidul Islam, Yanchang Zhao, Richi Nayak, Vladimir Estivill-Castro, Salil S. Kanhere:
PostMatch: A Framework for Efficient Address Matching. AusDM 2021: 136-151 - [c32]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability. KDD 2021: 3616-3626 - [c31]Yanchang Zhao, Haohui Chen, Claire M. Mason:
A Framework for Duplicate Detection from Online Job Postings. WI/IAT 2021: 249-256 - [e6]Yue Xu, X. Rosalind Wang, Anton R. Lord, Yee Ling Boo, Richi Nayak, Yanchang Zhao, Graham J. Williams:
Data Mining - 19th Australasian Conference on Data Mining, AusDM, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings. Communications in Computer and Information Science 1504, Springer 2021, ISBN 978-981-16-8530-9 [contents] - 2020
- [c30]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Intervention Recommendation for Improving Disability Employment. IEEE BigData 2020: 1671-1680 - [c29]Qinyong Wang, Hongzhi Yin, Tong Chen, Zi Huang, Hao Wang, Yanchang Zhao, Nguyen Quoc Viet Hung:
Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices. WWW 2020: 906-916
2010 – 2019
- 2019
- [c28]Marcus Suresh, Ronnie Taib, Yanchang Zhao, Warren Jin:
Sharpening the BLADE: Missing Data Imputation Using Supervised Machine Learning. Australasian Conference on Artificial Intelligence 2019: 215-227 - [c27]Yanchang Zhao, Bin Liang, Yang Wang, Shaobo Dang, Ronnie Taib, Fang Chen, Tin Hua, Dammika Vitanage, Corinna Doolan:
Optimising Pump Scheduling for Water Distribution Networks. Australasian Conference on Artificial Intelligence 2019: 433-444 - [e5]Md. Rafiqul Islam, Yun Sing Koh, Yanchang Zhao, Warwick Graco, David Stirling, Chang-Tsun Li, Md Zahidul Islam:
Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, Australia, November 28-30, 2018, Revised Selected Papers. Communications in Computer and Information Science 996, Springer 2019, ISBN 978-981-13-6660-4 [contents] - [e4]Thuc Duy Le, Kok-Leong Ong, Yanchang Zhao, Warren H. Jin, Sebastien Wong, Lin Liu, Graham Williams:
Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2-5, 2019, Proceedings. Communications in Computer and Information Science 1127, Springer 2019, ISBN 978-981-15-1698-6 [contents] - 2017
- [j9]Kok-Leong Ong, Zahid Islam, Yanchang Zhao:
Preface to the Special Section of Selected Papers from the Australasian Conference on Data Mining (AusDM) 2016. Australas. J. Inf. Syst. 21 (2017) - 2015
- [e3]Kok-Leong Ong, Yanchang Zhao, Md Glenn Stone, Md Zahidul Islam:
Thirteenth Australasian Data Mining Conference, AusDM 2015, Sydney, Australia, August 2015. CRPIT 168, Australian Computer Society 2015, ISBN 978-1-921770-18-0 [contents] - [i1]Fangfang Li, Yanchang Zhao, Klaus Felsche, Guandong Xu, Longbing Cao:
Coupling Analysis Between Twitter and Call Centre. CoRR abs/1509.02238 (2015) - 2014
- [e2]Xue Li, Lin Liu, Kok-Leong Ong, Yanchang Zhao:
Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, Australia, November 2014. CRPIT 158, Australian Computer Society 2014, ISBN 978-1-921770-17-3 [contents] - 2012
- [e1]Yanchang Zhao, Jiuyong Li, Paul J. Kennedy, Peter Christen:
Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, Australia, December 5-7, 2012. CRPIT 134, Australian Computer Society 2012, ISBN 978-1-921770-14-2 [contents] - 2011
- [j8]Yanchang Zhao, Jie Cao, Chengqi Zhang, Shichao Zhang:
Enhancing grid-density based clustering for high dimensional data. J. Syst. Softw. 84(9): 1524-1539 (2011) - [j7]Longbing Cao, Huaifeng Zhang, Yanchang Zhao, Dan Luo, Chengqi Zhang:
Combined Mining: Discovering Informative Knowledge in Complex Data. IEEE Trans. Syst. Man Cybern. Part B 41(3): 699-712 (2011) - [c26]Xiangjun Dong, Zhigang Zheng, Longbing Cao, Yanchang Zhao, Chengqi Zhang, Jinjiu Li, Wei Wei, Yuming Ou:
e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning. CIKM 2011: 825-830 - [c25]Chao Luo, Yanchang Zhao, Dan Luo, Chengqi Zhang, Wei Cao:
Agent-Based Subspace Clustering. PAKDD (2) 2011: 370-381 - 2010
- [j6]Longbing Cao, Yanchang Zhao, Huaifeng Zhang, Dan Luo, Chengqi Zhang, Eun K. Park:
Flexible Frameworks for Actionable Knowledge Discovery. IEEE Trans. Knowl. Data Eng. 22(9): 1299-1312 (2010) - [c24]Yanchang Zhao, Hans Bohlscheid, Shanshan Wu, Longbing Cao:
Less Effort, More Outcomes: Optimising Debt Recovery with Decision Trees. ICDM Workshops 2010: 655-660 - [c23]Ke-Bing Zhang, Mehmet A. Orgun, Yanchang Zhao, Abhaya C. Nayak:
The Discovery of Hierarchical Cluster Structures Assisted by a Visualization Technique. ICONIP (1) 2010: 703-711 - [c22]Zhigang Zheng, Yanchang Zhao, Ziye Zuo, Longbing Cao:
An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns. PAKDD (1) 2010: 262-273
2000 – 2009
- 2009
- [j5]Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang, Hans Bohlscheid:
Customer Activity Sequence Classification for Debt Prevention in Social Security. J. Comput. Sci. Technol. 24(6): 1000-1009 (2009) - [c21]Zhigang Zheng, Yanchang Zhao, Ziye Zuo, Longbing Cao:
Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns. AusDM 2009: 63-68 - [c20]Shanshan Wu, Yanchang Zhao, Huaifeng Zhang, Chengqi Zhang, Longbing Cao, Hans Bohlscheid:
Debt Detection in Social Security by Adaptive Sequence Classification. KSEM 2009: 192-203 - [c19]Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid:
Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data. PAKDD 2009: 656-663 - [c18]Yanchang Zhao, Huaifeng Zhang, Shanshan Wu, Jian Pei, Longbing Cao, Chengqi Zhang, Hans Bohlscheid:
Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns. ECML/PKDD (2) 2009: 648-663 - 2008
- [j4]Longbing Cao, Yanchang Zhao, Chengqi Zhang, Huaifeng Zhang:
Activity Mining: from Activities to Actions. Int. J. Inf. Technol. Decis. Mak. 7(2): 259-273 (2008) - [j3]Longbing Cao, Yanchang Zhao, Chengqi Zhang:
Mining Impact-Targeted Activity Patterns in Imbalanced Data. IEEE Trans. Knowl. Data Eng. 20(8): 1053-1066 (2008) - [c17]Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid:
Combined Pattern Mining: From Learned Rules to Actionable Knowledge. Australasian Conference on Artificial Intelligence 2008: 393-403 - [c16]Chao Luo, Yanchang Zhao, Longbing Cao, Yuming Ou, Chengqi Zhang:
Exception Mining on Multiple Time Series in Stock Market. Web Intelligence/IAT Workshops 2008: 690-693 - [c15]Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang:
Combined Association Rule Mining. PAKDD 2008: 1069-1074 - [c14]Chao Luo, Yanchang Zhao, Longbing Cao, Yuming Ou, Li Liu:
Outlier Mining on Multiple Time Series Data in Stock Market. PRICAI 2008: 1010-1015 - [c13]Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid:
Efficient Mining of Event-Oriented Negative Sequential Rules. Web Intelligence 2008: 336-342 - 2007
- [j2]Longbing Cao, Chengqi Zhang, Yanchang Zhao, Philip S. Yu, Graham Williams:
DDDM2007: Domain Driven Data Mining. SIGKDD Explor. 9(2): 84-86 (2007) - [c12]Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang:
Class Association Rule Mining with Multiple Imbalanced Attributes. Australian Conference on Artificial Intelligence 2007: 827-831 - [c11]Longbing Cao, Yanchang Zhao, Fernando Figueiredo, Yuming Ou, Dan Luo:
Mining High Impact Exceptional Behavior Patterns. PAKDD Workshops 2007: 56-63 - 2006
- [j1]Yanchang Zhao, Shichao Zhang:
Generalized Dimension-Reduction Framework for Recent-Biased Time Series Analysis. IEEE Trans. Knowl. Data Eng. 18(2): 231-244 (2006) - [c10]Yanchang Zhao, Chengqi Zhang, Shichao Zhang:
Efficient Frequent Itemsets Mining by Sampling. AMT 2006: 112-117 - [c9]Yanchang Zhao, Chengqi Zhang, Shichao Zhang, Lianwei Zhao:
Adapting K-Means Algorithm for Discovering Clusters in Subspaces. APWeb 2006: 53-62 - [c8]Yanchang Zhao, Chengqi Zhang, Shichao Zhang:
Enhancing DWT for Recent-Biased Dimension Reduction of Time Series Data. Australian Conference on Artificial Intelligence 2006: 1048-1053 - [c7]Yanchang Zhao, Longbing Cao, Yvonne Morrow, Yuming Ou, Jiarui Ni, Chengqi Zhang:
Discovering Debtor Patterns of Centrelink Customers. AusDM 2006: 135-144 - [c6]Lianwei Zhao, Siwei Luo, Yanchang Zhao, Lingzhi Liao, Zhihai Wang:
Regularized Semi-supervised Classification on Manifold. PAKDD 2006: 20-29 - 2005
- [c5]Lianwei Zhao, Yanchang Zhao, Siwei Luo, Chao Shao:
Construction Algorithm of Principal Curves in the Sense of Limit. Australian Conference on Artificial Intelligence 2005: 264-273 - [c4]Yanchang Zhao, Chengqi Zhang, Shichao Zhang:
A Recent-Biased Dimension Reduction Technique for Time Series Data. PAKDD 2005: 751-757 - 2004
- [c3]Yanchang Zhao, Chengqi Zhang, Shichao Zhang:
Discovering Interesting Association Rules by Clustering. Australian Conference on Artificial Intelligence 2004: 1055-1061 - [c2]Yanchang Zhao, Chengqi Zhang, Yi-Dong Shen:
Clustering High-Dimensional Data with Low-Order Neighbors. Web Intelligence 2004: 103-109 - 2003
- [c1]Yanchang Zhao, Song Junde:
AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets. PAKDD 2003: 271-282
Coauthor Index
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