Yanchang Zhao

Yanchang Zhao, Jie Cao, Chengqi Zhang, Shichao Zhang: Enhancing grid-density based clustering for high dimensional data. Journal of Systems and Software 84(9): 1524-1539 (2011)

Longbing Cao, Huaifeng Zhang, Yanchang Zhao, Dan Luo, Chengqi Zhang: Combined Mining: Discovering Informative Knowledge in Complex Data. IEEE Transactions on Systems, Man, and Cybernetics, Part B 41(3): 699-712 (2011)

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

Chao Luo, Yanchang Zhao, Dan Luo, Chengqi Zhang, Wei Cao: Agent-Based Subspace Clustering. PAKDD (2) 2011: 370-381

Longbing Cao, Yanchang Zhao, Huaifeng Zhang, Dan Luo, Chengqi Zhang, E. K. Park: Flexible Frameworks for Actionable Knowledge Discovery. IEEE Trans. Knowl. Data Eng. 22(9): 1299-1312 (2010)

Yanchang Zhao, Hans Bohlscheid, Shanshan Wu, Longbing Cao: Less Effort, More Outcomes: Optimising Debt Recovery with Decision Trees. ICDM Workshops 2010: 655-660

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

Zhigang Zheng, Yanchang Zhao, Ziye Zuo, Longbing Cao: An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns. PAKDD (1) 2010: 262-273

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)

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

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

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

Longbing Cao, Yanchang Zhao, Chengqi Zhang, Huaifeng Zhang: Activity Mining: from Activities to Actions. International Journal of Information Technology and Decision Making 7(2): 259-273 (2008)

Longbing Cao, Yanchang Zhao, Chengqi Zhang: Mining Impact-Targeted Activity Patterns in Imbalanced Data. IEEE Trans. Knowl. Data Eng. 20(8): 1053-1066 (2008)

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

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

Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang: Combined Association Rule Mining. PAKDD 2008: 1069-1074

Chao Luo, Yanchang Zhao, Longbing Cao, Yuming Ou, Li Liu: Outlier Mining on Multiple Time Series Data in Stock Market. PRICAI 2008: 1010-1015

Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid: Efficient Mining of Event-Oriented Negative Sequential Rules. Web Intelligence 2008: 336-342

Longbing Cao, Chengqi Zhang, Yanchang Zhao, Philip S. Yu, Graham Williams: DDDM2007: Domain Driven Data Mining. SIGKDD Explorations 9(2): 84-86 (2007)

Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang: Class Association Rule Mining with Multiple Imbalanced Attributes. Australian Conference on Artificial Intelligence 2007: 827-831

Longbing Cao, Yanchang Zhao, Fernando Figueiredo, Yuming Ou, Dan Luo: Mining High Impact Exceptional Behavior Patterns. PAKDD Workshops 2007: 56-63

Yanchang Zhao, Shichao Zhang: Generalized Dimension-Reduction Framework for Recent-Biased Time Series Analysis. IEEE Trans. Knowl. Data Eng. 18(2): 231-244 (2006)

Yanchang Zhao, Chengqi Zhang, Shichao Zhang: Efficient Frequent Itemsets Mining by Sampling. AMT 2006: 112-117

Yanchang Zhao, Chengqi Zhang, Shichao Zhang, Lianwei Zhao: Adapting K-Means Algorithm for Discovering Clusters in Subspaces. APWeb 2006: 53-62

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

Yanchang Zhao, Longbing Cao, Yvonne Morrow, Yuming Ou, Jiarui Ni, Chengqi Zhang: Discovering Debtor Patterns of Centrelink Customers. AusDM 2006: 135-144

Lianwei Zhao, Siwei Luo, Yanchang Zhao, Lingzhi Liao, Zhihai Wang: Regularized Semi-supervised Classification on Manifold. PAKDD 2006: 20-29

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

Yanchang Zhao, Chengqi Zhang, Shichao Zhang: A Recent-Biased Dimension Reduction Technique for Time Series Data. PAKDD 2005: 751-757

Yanchang Zhao, Chengqi Zhang, Shichao Zhang: Discovering Interesting Association Rules by Clustering. Australian Conference on Artificial Intelligence 2004: 1055-1061

Yanchang Zhao, Chengqi Zhang, Yi-Dong Shen: Clustering High-Dimensional Data with Low-Order Neighbors. Web Intelligence 2004: 103-109

Yanchang Zhao, Song Junde: AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets. PAKDD 2003: 271-282