Volume 12, Number 1, January 2006
- Michail Vlachos, Philip S. Yu, Vittorio Castelli, Christopher Meek:
Structural Periodic Measures for Time-Series Data.
1-28
- Peter Rousseeuw, Katrien van Driessen:
Computing LTS Regression for Large Data Sets.
29-45
- Abdelhamid Bouchachia, Witold Pedrycz:
Data Clustering with Partial Supervision.
47-78
- Djamel Bouchaffra, Jun Tan:
Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs.
79-96
- Min Wang, Yee Leung, Chenghu Zhou, Tao Pei, Jiancheng Luo:
A Mathematical Morphology Based Scale Space Method for the Mining of Linear Features in Geographic Data.
97-118
- Jian Pei, Jiawei Han, Laks V. S. Lakshmanan:
An Erratum on "Pushing Convertible Constraints in Frequent Itemset Mining".
119
Volume 12, Number 2-3, May 2006
- Shichao Zhang, Mohammed Javeed Zaki:
Mining Multiple Data Sources: Local Pattern Analysis.
121-125
- Jia Hu, Ning Zhong:
Organizing Multiple Data Sources for Developing Intelligent e-Business Portals.
127-150
- Hye-Chung Kum, Joong Hyuk Chang, Wei Wang:
Sequential Pattern Mining in Multi-Databases via Multiple Alignment.
151-180
- Charles X. Ling, Qiang Yang:
Discovering Classification from Data of Multiple Sources.
181-201
- Matthew Eric Otey, Amol Ghoting, Srinivasan Parthasarathy:
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets.
203-228
- Gui-Rong Xue, Yong Yu, Dou Shen, Qiang Yang, Hua-Jun Zeng, Zheng Chen:
Reinforcing Web-object Categorization Through Interrelationships.
229-248
- Jun Yan, Ning Liu, Qiang Yang, Benyu Zhang, QianSheng Cheng, Zheng Chen:
Mining Adaptive Ratio Rules from Distributed Data Sources.
249-273
- Xingquan Zhu, Xindong Wu, Qijun Chen:
Bridging Local and Global Data Cleansing: Identifying Class Noise in Large, Distributed Data Datasets.
275-308
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