Data Mining and Knowledge Discovery, Volume 22

Volume 22, Numbers 1-2, January 2011

• Hwanjo Yu:
  Selective sampling techniques for feedback-based data retrieval. 1-30
  
• Carlos Nascimento Silla Jr., Alex Alves Freitas:
  A survey of hierarchical classification across different application domains. 31-72
  
• Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu, Sydney Cash, M. Brandon Westover, Nima Bigdely Shamlo:
  A disk-aware algorithm for time series motif discovery. 73-105
  
• José A. Gámez, Juan L. Mateo, José Miguel Puerta:
  Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood. 106-148
  
• Lexiang Ye, Eamonn J. Keogh:
  Time series shapelets: a novel technique that allows accurate, interpretable and fast classification. 149-182
  
• Derek Doran, Swapna S. Gokhale:
  Web robot detection techniques: overview and limitations. 183-210
  
• Yong Suk Choi:
  Tree pattern expression for extracting information from syntactically parsed text corpora. 211-231
  
• Amy McGovern, Derek H. Rosendahl, Rodger A. Brown, Kelvin Droegemeier:
  Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction. 232-258
  
• Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer:
  Detecting and ordering salient regions. 259-290
  
• Murat Kantarcioglu, Bowei Xi, Chris Clifton:
  Classifier evaluation and attribute selection against active adversaries. 291-335
  

Volume 22, Number 3, May 2011

• Tao Li, Chris H. Q. Ding, Fei Wang:
  Guest editorial: special issue on data mining with matrices, graphs and tensors. 337-339
  
• Tianyi Zhou, Dacheng Tao, Xindong Wu:
  Manifold elastic net: a unified framework for sparse dimension reduction. 340-371
  
• Shipeng Yu, Jinbo Bi, Jieping Ye:
  Matrix-variate and higher-order probabilistic projections. 372-392
  
• Bin Cao, Qiang Yang, Jian-Tao Sun, Zheng Chen:
  Learning bidirectional asymmetric similarity for collaborative filtering via matrix factorization. 393-418
  
• Stefanos Zafeiriou, Maria Petrou:
  Nonnegative tensor factorization as an alternative Csiszar-Tusnady procedure: algorithms, convergence, probabilistic interpretations and novel probabilistic tensor latent variable analysis algorithms. 419-466
  
• Peng Cui, Zhi-Qiang Liu, Lifeng Sun, Shi-Qiang Yang:
  Hierarchical visual event pattern mining and its applications. 467-492
  
• Fei Wang, Tao Li, Xin Wang, Shenghuo Zhu, Chris H. Q. Ding:
  Community discovery using nonnegative matrix factorization. 493-521
  

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