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
  

Volume 13, Number 4, 2009

• Wilson Wong, Wei Liu, Mohammed Bennamoun:
  A probabilistic framework for automatic term recognition. 499-539
  
• Ghorban Kheradmandian, Mohammad Rahmati:
  A new clustering approach using similarity of patterns texture. 541-554
  
• Federico Del Razo López, Anne Laurent, Maguelonne Teisseire, Pascal Poncelet:
  Tree mining: Equivalence classes for candidate generation. 555-573
  
• Chih Lai, Taras Rafa, Dwight E. Nelson:
  Approximate minimum spanning tree clustering in high-dimensional space. 575-597
  
• J. A. Olvera-López, José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Josef Kittler:
  Prototype selection based on sequential search. 599-631
  
• Sadok Ben Yahia, Ghada Gasmi, Engelbert Mephu Nguifo:
  A new generic basis of "factual" and "implicative" association rules. 633-656
  
• Khalid Chougdali, Mohamed Jedra, Noureddine Zahid:
  Fuzzy linear and nonlinear discriminant analysis algorithms for face recognition. 657-669
  
• Mohammed Alshalalfah, Reda Alhajj:
  Cancer class prediction: Two stage clustering approach to identify informative genes. 671-686
  

Volume 13, Number 5, 2009

• Sergio Storari, Fabrizio Riguzzi, Evelina Lamma:
  Exploiting association and correlation rules parameters for learning Bayesian networks. 689-701
  
• Richard Jensen, Qiang Shen:
  Feature selection for aiding glass forensic evidence analysis. 703-723
  
• Margarida G. M. S. Cardoso, André Carlos Ponce de Leon Ferreira de Carvalho:
  Quality indices for (practical) clustering evaluation. 725-740
  
• Christophe G. Giraud-Carrier, Burdette Pixton, Roberto A. Rocha:
  Bariatric surgery performance: A predictive informatics case study. 741-754
  
• Jeffrey Chan, James Bailey, Christopher Leckie:
  Using graph partitioning to discover regions of correlated spatio-temporal change in evolving graphs. 755-793
  
• Sasa Petrovic, Bojana Dalbelo Basic, Annie Morin, Blaz Zupan, Jean-Hugues Chauchat:
  Textual features for corpus visualization using correspondence analysis. 795-813
  
• Ainura Madylova, Sule Gündüz Ögüdücü:
  Comparison of similarity measures for clustering Turkish documents. 815-832
  
• Ehsan Pazouki, Mohammad Rahmati:
  A novel multimedia data mining framework for information extraction of a soccer video stream. 833-857