Statistical Analysis and Data Mining, Volume 2

Volume 2, Number 1, July 2009

• Ryohei Fujimaki, Takayuki Nakata, Hidenori Tsukahara, Akinori Sato, Kenji Yamanishi:
  Mining abnormal patterns from heterogeneous time-series with irrelevant features for fault event detection. 1-17
  
• Yitao Duan, John Canny:
  How to deal with malicious users in privacy-preserving distributed data mining. 18-33
  
• Yijun Sun, Dapeng Wu:
  Feature extraction through local learning. 34-47
  
• Souptik Datta, Hillol Kargupta:
  A communication efficient probabilistic algorithm for mining frequent itemsets from a peer-to-peer network. 48-69
  
• Shunsuke Hirose, Kenji Yamanishi:
  Latent variable mining with its applications to anomalous behavior detection. 70-86
  

Volume 2, Number 2, August 2009

• Paul Blower:
  Chemogenomic databases: Construction, search and analysis. 87
  

• Yushi Liu, Joseph S. Verducci:
  Review of statistical analyses in drug discovery and chemogenomics. 88-102
  

• Eleanor J. Gardiner, Valerie J. Gillet, Maciej Haranczyk, Jérôme Hert, John D. Holliday, Nurul Malim, Yogendra Patel, Peter Willett:
  Turbo similarity searching: Effect of fingerprint and dataset on virtual-screening performance. 103-114
  
• Josef Scheiber, Jeremy L. Jenkins, Andreas Bender, Mariusz Milik, Dmitri Mikhailov, Sai Chetan K. Sukuru, Ben Cornett, Steven Whitebread, Laszlo Urban, John W. Davies, Meir Glick:
  SPREAD - exploiting chemical features that cause differential activity behavior. 115-122
  
• Martin Vogt, Britta Nisius, Jürgen Bajorath:
  Predicting the similarity search performance of fingerprints and their combination with molecular property descriptors using probabilistic and information theoretic modeling. 123-134
  
• S. Gardner-Lubbe, Niël J. le Roux, H. Maunders, V. Shah, S. Patwardhan:
  Biplot methodology in exploratory analysis of microarray data. 135-145
  

Volume 2, Number 3, September 2009

• Joseph S. Verducci:
  Chemogenomic insights into biological systems. 147-148
  

• Munikumar R. Doddareddy, Gerard J. P. van Westen, Eelke van der Horst, Julio E. Peironcely, Frans Corthals, Adriaan P. IJzerman, Michael Emmerich, Jeremy L. Jenkins, Andreas Bender:
  Chemogenomics: Looking at biology through the lens of chemistry. 149-160
  
• Junshui Ma, Christopher Tong, Andy Liaw, Robert P. Sheridan, John Szumiloski, Vladimir Svetnik:
  Generating hypotheses about molecular structure-activity relationships (SARs) by solving an optimization problem. 161-174
  
• Kerby Shedden, Yang Yang, Gustavo R. Rosania:
  Gene expression associations with the growth inhibitory effects of small molecules on live cells: Specificity of effects and uniformity of mechanisms. 175-185
  
• Xin Gao, Lina Lin, Ying Huang:
  Application of model selection technique in chemogenomic data analysis. 186-191
  
• Yushi Liu, Joseph S. Verducci, I. Schultz, S. Hook, J. Nagler, G. Craciun, K. Sundling, W. Hayton:
  Time course analysis of microarray data for the pathway of reproductive development in female rainbow trout. 192-208
  

Volume 2, Number 4, November 2009

• Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, Heikki Mannila:
  Randomization methods for assessing data analysis results on real-valued matrices. 209-230
  
• Krishna Kummamuru, Deepak Padmanabhan, Shourya Roy, L. Venkata Subramaniam:
  Unsupervised segmentation of conversational transcripts. 231-245
  
• Kay Penny, Thomas Chesney:
  Mining trauma injury data with imputed values. 246-254
  
• Kelvin Sim, Jinyan Li, Vivekanand Gopalkrishnan, Guimei Liu:
  Mining maximal quasi-bicliques: Novel algorithm and applications in the stock market and protein networks. 255-273
  
• Jennifer Clarke, Bertrand Clarke:
  Prequential analysis of complex data with adaptive model reselection. 274-290
  

Volume 2, Numbers 5-6, December 2009

• Zoran Obradovic, Huan Liu:
  Special issue on the best papers of SDM'09. 291-293
  

• Graham Cormode, Srikanta Tirthapura, Bojian Xu:
  Time-decayed correlated aggregates over data streams. 294-310
  
• Anton Dries, Ulrich Rückert:
  Adaptive concept drift detection. 311-327
  
• Jianqiang Shen, Thomas G. Dietterich:
  A family of large margin linear classifiers and its application in dynamic environments. 328-345
  
• Mario Boley, Tamás Horváth, Stefan Wrobel:
  Efficient discovery of interesting patterns based on strong closedness. 346-360
  
• Adriano Veloso, Mohammed Javeed Zaki, Wagner Meira Jr., Marcos André Gonçalves:
  Competence-conscious associative classification. 361-377
  
• Duo Zhang, ChengXiang Zhai, Jiawei Han, Ashok N. Srivastava, Nikunj C. Oza:
  Topic modeling for OLAP on multidimensional text databases: topic cube and its applications. 378-395
  
• Dan Preston, Pavlos Protopapas, Carla E. Brodley:
  Discovering arbitrary event types in time series. 396-411
  

• Shohei Hido, Hisashi Kashima, Yutaka Takahashi:
  Roughly balanced bagging for imbalanced data. 412-426
  
• Guimei Liu, Kelvin Sim, Jinyan Li, Limsoon Wong:
  Efficient mining of distance-based subspace clusters. 427-444
  

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