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ORCIDData Mining and Knowledge Discovery, Volume 12
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 J. 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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