Intelligent Data Analysis, Volume 13

Volume 13, Number 1, 2009

• Stijn Vanderlooy, Ida G. Sprinkhuizen-Kuyper, Evgueni N. Smirnov, H. Jaap van den Herik:
  The ROC isometrics approach to construct reliable classifiers. 3-37
  
• Gladys Castillo, João Gama:
  Adaptive Bayesian network classifiers. 39-59
  
• Ashkan Zarnani, Masoud Rahgozar, Caro Lucas, Fattaneh Taghiyareh:
  Effective spatial clustering methods for optimal facility establishment. 61-84
  
• Vandana Pursnani Janeja, Vijayalakshmi Atluri:
  Spatial outlier detection in heterogeneous neighborhoods. 85-107
  
• Arnaud Soulet, Bruno Crémilleux:
  Mining constraint-based patterns using automatic relaxation. 109-133
  
• Joshua E. Menke, Tony R. Martinez:
  Artificial neural network reduction through oracle learning. 135-149
  
• Jae Joon Ahn, Suk Jun Lee, Kyong Joo Oh, Tae Yoon Kim:
  Intelligent forecasting for financial time series subject to structural changes. 151-163
  
• Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani, Caro Lucas, Masoud Rahgozar, Euhanna Ghadimi:
  Efficient rule based structural algorithms for classification of tree structured data. 165-188
  

Volume 13, Number 2, 2009

• Faizah Shaari, Azuraliza Abu Bakar, Abdul Razak Hamdan:
  Outlier detection based on rough sets theory. 191-206
  
• Zheng Zhao, Huan Liu:
  Searching for interacting features in subset selection. 207-228
  
• Lev V. Utkin:
  A new ranking procedure by incomplete pairwise comparisons using preference subsets. 229-241
  
• Gisele L. Pappa, Alex Alves Freitas:
  Automatically evolving rule induction algorithms tailored to the prediction of postsynaptic activity in proteins. 243-259
  
• Ismael E. Arciniegas Rueda, Fabio A. Arciniegas:
  SOM-based data analysis of speculative attacks' real effects. 261-300
  
• Sezin Karli, Yücel Saygin:
  Mining periodic patterns in spatio-temporal sequences at different time granularities. 301-335
  
• Carlos Ordonez:
  Models for association rules based on clustering and correlation. 337-358
  
• Unil Yun:
  On pushing weight constraints deeply into frequent itemset mining. 359-383
  
• Zoran Bosnic, Igor Kononenko:
  An overview of advances in reliability estimation of individual predictions in machine learning. 385-401
  

Volume 13, Number 3, 2009

• João Gama, Auroop R. Ganguly, Olufemi A. Omitaomu, Ranga Raju Vatsavai, Mohamed Medhat Gaber:
  Knowledge discovery from data streams. 403-404
  
• Eduardo J. Spinosa, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama:
  Novelty detection with application to data streams. 405-422
  
• Pari Delir Haghighi, Arkady B. Zaslavsky, Shonali Krishnaswamy, Mohamed Medhat Gaber, Seng Wai Loke:
  Context-aware adaptive data stream mining. 423-434
  
• Amrudin Agovic, Arindam Banerjee, Auroop R. Ganguly, Vladimir Protopopescu:
  Anomaly detection using manifold embedding and its applications in transportation corridors. 435-455
  
• Betsy George, James M. Kang, Shashi Shekhar:
  Spatio-Temporal Sensor Graphs (STSG): A data model for the discovery of spatio-temporal patterns. 457-475
  
• Pedro Pereira Rodrigues, João Gama:
  A system for analysis and prediction of electricity-load streams. 477-496