Data Mining and Knowledge Discovery, Volume 18

Volume 18, Number 1, February 2009

• Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal:
  CONTOUR: an efficient algorithm for discovering discriminating subsequences. 1-29
  
• Christopher Whitrow, David J. Hand, Piotr Juszczak, David J. Weston, Niall M. Adams:
  Transaction aggregation as a strategy for credit card fraud detection. 30-55
  
• Szymon Jaroszewicz, Tobias Scheffer, Dan A. Simovici:
  Scalable pattern mining with Bayesian networks as background knowledge. 56-100
  
• Shipra Agrawal, Jayant R. Haritsa, B. Aditya Prakash:
  FRAPP: a framework for high-accuracy privacy-preserving mining. 101-139
  
• Ron Kohavi, Roger Longbotham, Dan Sommerfield, Randal M. Henne:
  Controlled experiments on the web: survey and practical guide. 140-181
  

Volume 18, Number 2, April 2009

• Tzu-Tsung Wong:
  Alternative prior assumptions for improving the performance of naïve Bayesian classifiers. 183-213
  
• Yu Xia:
  A global optimization method for semi-supervised clustering. 214-256
  
• Ian Davidson, S. S. Ravi:
  Using instance-level constraints in agglomerative hierarchical clustering: theoretical and empirical results. 257-282
  
• Nicolas Cebron, Michael R. Berthold:
  Active learning for object classification: from exploration to exploitation. 283-299
  
• Erik Linstead, Sushil Krishna Bajracharya, Trung Chi Ngo, Paul Rigor, Cristina Videira Lopes, Pierre Baldi:
  Sourcerer: mining and searching internet-scale software repositories. 300-336
  

Volume 18, Number 3, June 2009

• Tao Pei, Ajay Jasra, David J. Hand, A-Xing Zhu, Chenghu Zhou:
  DECODE: a new method for discovering clusters of different densities in spatial data. 337-369
  
• Mehrdad Mahdavi, Hassan Abolhassani:
  Harmony K-means algorithm for document clustering. 370-391
  
• Aida de Haro-García, Nicolás García-Pedrajas:
  A divide-and-conquer recursive approach for scaling up instance selection algorithms. 392-418
  
• Germán Creamer, Salvatore J. Stolfo:
  A link mining algorithm for earnings forecast and trading. 419-445
  
• Yasuki Kakishita, Kazutoshi Sasahara, Tetsuro Nishino, Miki Takahasi, Kazuo Okanoya:
  Ethological data mining: an automata-based approach to extract behavioral units and rules. 446-471
  
• Guoliang Li, Jianhua Feng, Jianyong Wang, Lizhu Zhou:
  Incremental sequence-based frequent query pattern mining from XML queries. 472-516