2009 |
22 | EE | 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 |
2008 |
21 | EE | 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 |
20 | EE | Huaifeng Zhang,
Yanchang Zhao,
Longbing Cao,
Chengqi Zhang:
Combined Association Rule Mining.
PAKDD 2008: 1069-1074 |
19 | EE | Chao Luo,
Yanchang Zhao,
Longbing Cao,
Yuming Ou,
Li Liu:
Outlier Mining on Multiple Time Series Data in Stock Market.
PRICAI 2008: 1010-1015 |
18 | EE | Yanchang Zhao,
Huaifeng Zhang,
Longbing Cao,
Chengqi Zhang,
Hans Bohlscheid:
Efficient Mining of Event-Oriented Negative Sequential Rules.
Web Intelligence 2008: 336-342 |
17 | EE | 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 |
16 | EE | Longbing Cao,
Yanchang Zhao,
Chengqi Zhang:
Mining Impact-Targeted Activity Patterns in Imbalanced Data.
IEEE Trans. Knowl. Data Eng. 20(8): 1053-1066 (2008) |
15 | EE | 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) |
2007 |
14 | EE | Huaifeng Zhang,
Yanchang Zhao,
Longbing Cao,
Chengqi Zhang:
Class Association Rule Mining with Multiple Imbalanced Attributes.
Australian Conference on Artificial Intelligence 2007: 827-831 |
13 | EE | Longbing Cao,
Yanchang Zhao,
Fernando Figueiredo,
Yuming Ou,
Dan Luo:
Mining High Impact Exceptional Behavior Patterns.
PAKDD Workshops 2007: 56-63 |
12 | EE | Longbing Cao,
Chengqi Zhang,
Yanchang Zhao,
Philip S. Yu,
Graham Williams:
DDDM2007: Domain Driven Data Mining.
SIGKDD Explorations 9(2): 84-86 (2007) |
2006 |
11 | | Yanchang Zhao,
Chengqi Zhang,
Shichao Zhang:
Efficient Frequent Itemsets Mining by Sampling.
AMT 2006: 112-117 |
10 | EE | Yanchang Zhao,
Chengqi Zhang,
Shichao Zhang,
Lianwei Zhao:
Adapting K-Means Algorithm for Discovering Clusters in Subspaces.
APWeb 2006: 53-62 |
9 | EE | Yanchang Zhao,
Longbing Cao,
Yvonne Morrow,
Yuming Ou,
Jiarui Ni,
Chengqi Zhang:
Discovering Debtor Patterns of Centrelink Customers.
AusDM 2006: 135-144 |
8 | EE | 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 |
7 | EE | Lianwei Zhao,
Siwei Luo,
Yanchang Zhao,
Lingzhi Liao,
Zhihai Wang:
Regularized Semi-supervised Classification on Manifold.
PAKDD 2006: 20-29 |
6 | EE | Yanchang Zhao,
Shichao Zhang:
Generalized Dimension-Reduction Framework for Recent-Biased Time Series Analysis.
IEEE Trans. Knowl. Data Eng. 18(2): 231-244 (2006) |
2005 |
5 | EE | 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 |
4 | EE | Yanchang Zhao,
Chengqi Zhang,
Shichao Zhang:
A Recent-Biased Dimension Reduction Technique for Time Series Data.
PAKDD 2005: 751-757 |
2004 |
3 | EE | Yanchang Zhao,
Chengqi Zhang,
Shichao Zhang:
Discovering Interesting Association Rules by Clustering.
Australian Conference on Artificial Intelligence 2004: 1055-1061 |
2 | EE | Yanchang Zhao,
Chengqi Zhang,
Yi-Dong Shen:
Clustering High-Dimensional Data with Low-Order Neighbors.
Web Intelligence 2004: 103-109 |
2003 |
1 | EE | Yanchang Zhao,
Song Junde:
AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets.
PAKDD 2003: 271-282 |