Data 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 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