Intelligent Data Analysis, Volume 10

Volume 10, Number 1, 2006

• Graeme Richards, Karl J. Brazier, Wenjia Wang:
  Feature salience definition and estimation and its use in feature subset selection. 3-21
  
• João Gama, Ricardo Fernandes, Ricardo Rocha:
  Decision trees for mining data streams. 23-45
  
• Niall Rooney, David W. Patterson, Chris D. Nugent:
  Pruning extensions to stacking. 47-66
  
• Djamel Bouchaffra, Jun Tan:
  Structural hidden Markov models: An application to handwritten numeral recognition. 67-79
  
• Xinghua Fan, Maosong Sun:
  Knowledge representation and reasoning based on entity and relation propagation diagram/tree. 81-102
  

Volume 10, Number 2, 2006

• Yu Li, Miroslav Kubat:
  Searching for high-support itemsets in itemset trees. 105-120
  
• K. G. Srinivasa, Karthik Sridharan, P. Deepa Shenoy, K. R. Venugopal, Lalit M. Patnaik:
  A neural network based CBIR system using STI features and relevance feedback. 121-137
  
• Ulrich Möller, Dörte Radke:
  Performance of data resampling methods for robust class discovery based on clustering. 139-162
  
• Emin Erkan Korkmaz, Jun Du, Reda Alhajj, Ken Barker:
  Combining advantages of new chromosome representation scheme and multi-objective genetic algorithms for better clustering. 163-182
  
• Ronen Feldman, Binyamin Rosenfeld, Ronen Lazar, Joshua Livnat, Benjamin Segal:
  Computerized retrieval and classification: An application to reasons for late filings with the securities and exchange commission. 183-195
  

Volume 10, Number 3, 2006

• Simon Jaillet, Anne Laurent, Maguelonne Teisseire:
  Sequential patterns for text categorization. 199-214
  
• Celine Vens, Hendrik Blockeel:
  A simple regression based heuristic for learning model trees. 215-236
  
• William-Chandra Tjhi, Lihui Chen:
  Minimum sum-squared residue for fuzzy co-clustering. 237-249
  
• Taghi M. Khoshgoftaar, Jason Van Hulse:
  Determining noisy instances relative to attributes of interest. 251-268
  
• Sylvain Ferrandiz, Marc Boullé:
  Supervised evaluation of Voronoi partitions. 269-283
  
• Lijuan Cao, Lim Kian Guan, Zhang Jingqing:
  Bond rating using support vector machine. 285-296
  

Volume 10, Number 4, 2006

• Paula Brito, Monique Noirhomme-Fraiture:
  Symbolic and spatial data analysis: Mining complex data structures. 297-300
  
• Annalisa Appice, Claudia d'Amato, Floriana Esposito, Donato Malerba:
  Classification of symbolic objects: A lazy learning approach. 301-324
  
• Chérif Mballo, Edwin Diday:
  The criterion of Kolmogorov-Smirnov for binary decision tree: Application to interval valued variables. 325-341
  
• Yannis Tzitzikas:
  An algebraic method for compressing symbolic data tables. 343-359
  
• Marcin Gorawski, Rafal Malczok:
  Materialized aR-Tree in Distributed Spatial Data Warehouse. 361-377
  
• Matjaz Bevk, Igor Kononenko:
  Towards symbolic mining of images with association rules: Preliminary results on textures. 379-393
  

Volume 10, Number 5, 2006

• Joost N. Kok, José María Peña, Arno Siebes:
  Introduction. 395
  
• Douglas H. Fisher, Mary E. Edgerton, Zhihua Chen, Lianhong Tang, Lewis Frey:
  Backward chaining rule induction. 397-417
  
• Eyke Hüllermeier, Jürgen Beringer:
  Learning from ambiguously labeled examples. 419-439
  
• Allan Tucker, Peter A. C. 't Hoen, Veronica Vinciotti, Xiaohui Liu:
  Temporal Bayesian classifiers for modelling muscular dystrophy expression data. 441-455
  
• Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut:
  Supporting bi-cluster interpretation in 0/1 data by means of local patterns. 457-472
  
• Zhicheng Zhang, David J. Hand:
  Detecting groups of anomalously similar objects in large data sets. 473-483
  

Volume 10, Number 6, 2006

• Jason Van Hulse, Taghi M. Khoshgoftaar:
  Class noise detection using frequent itemsets. 487-507
  
• José F. Sigut, José D. Piñeiro, J. I. Estévez, P. Toledo:
  A neural network approach to normality testing. 509-519
  
• Malik Agyemang, Ken Barker, Reda Alhajj:
  A comprehensive survey of numeric and symbolic outlier mining techniques. 521-538
  
• Shri Kant, Shehroz S. Khan:
  Analyzing a class of pseudo-random bit generator through inductive machine learning paradigm. 539-554
  
• Kathryn E. B. Thornton, Mark Carrington, Tim Burman:
  A data mining based method for web site maintenance. 555-581
  
• T. Babaie, R. Karimizandi, Caro Lucas:
  Prediction of solar conditions by emotional learning. 583-597