Volume 9, Number 1, 2005

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  Taghi M. Khoshgoftaar, Shi Zhong, Vedang H. Joshi: Enhancing software quality estimation using ensemble-classifier based noise filtering. 3-27
• 
  Christos Berberidis, Ioannis P. Vlahavas: Mining for weak periodic signals in time series databases. 29-42
• 
  Chien-Yu Chen, Shien-Ching Hwang, Yen-Jen Oyang: Analysis and summarization of correlations in data cubes and its application in microarray data analysis. 43-57
• 
  Jérémy Besson, Céline Robardet, Jean-François Boulicaut, Sophie Rome: Constraint-based concept mining and its application to microarray data analysis. 59-82
• 
  Ferenc Bodon, Ioannis N. Kouris, Christos Makris, Athanasios K. Tsakalidis: Automatic discovery of locally frequent itemsets in the presence of highly frequent itemsets. 83-104
• 
  Mathias Rossignol, Pascale Sébillot: Combining statistical data analysis techniques to extract topical keyword classes from corpora. 105-127

Volume 9, Number 2, 2005

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  Lior Rokach, Oded Maimon: Feature set decomposition for decision trees. 131-158
• 
  Martin Znidarsic, Marko Bohanec: Data-based revision of probability distributions in qualitative multi-attribute decision models. 159-174
• 
  Marc Boullé: Optimal bin number for equal frequency discretizations in supervized learning. 175-188
• 
  Clifford S. Thomas, Catherine A. Howie, Leslie S. Smith: A New Singly Connected Network Classifier based on Mutual Information. 189-205
• 
  Shitong Wang, Korris Fu-Lai Chung, Hong-Bin Shen: Fuzzy taxonomy, quantitative database and mining generalized association rules. 207-217
• 
  Wei Huang, Yoshiteru Nakamori, Shouyang Wang, Tieju Ma: Mining scientific literature to predict new relationships. 219-234

Volume 9, Number 3, 2005

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  Wei-Chou Chen, Ming-Chun Yang, Shian-Shyong Tseng: A novel feature selection method for large-scale data sets. 237-251
• 
  Yu He, Lihui Chen: A threshold criterion, auto-detection and its use in MST-based clustering. 253-271
• 
  Antonin Rozsypal, Miroslav Kubat: Association mining in time-varying domains. 273-288
• 
  Graeme Richards, Victor J. Rayward-Smith: The discovery of association rules from tabular databases comprising nominal and ordinal attributes. 289-307
• 
  Taghi M. Khoshgoftaar, Kehan Gao, Nawal H. Ibrahim: Evaluating indirect and direct classification techniques for network intrusion detection. 309-326

Volume 9, Number 4, 2005

• 
  Saeed Hashemi: A linear wrapper for sample subset selection in atypical detection. 329-345
• 
  Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao: Detecting noisy instances with the rule-based classification model. 347-364
• 
  Jae-Moon Lee, Rafael A. Calvo: Scalable document classification. 365-380
• 
  Tobias Scheffer: Finding association rules that trade support optimally against confidence. 381-395
• 
  James Geller, Xuan Zhou, Kalpana Prathipati, Sripriya Kanigiluppai, Xiaoming Chen: Raising data for improved support in rule mining: How to raise and how far to raise. 397-415

Volume 9, Number 5, 2005

• 
  Hong-Bin Shen, Jie Yang, Ningjiang Chen, Yifei Dong, Shitong Wang: Performing clustering analysis on collaborative models. 419-438
• 
  P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik: Dynamic Association Rule Mining using Genetic Algorithms. 439-453
• 
  Arup Kumar Nandi, Frank Klawonn: Detecting and identifying ambiguities in regression problems: An approach using a modified mountain method. 455-472
• 
  Malik Agyemang, Ken Barker, Reda Alhajj: Web outlier mining: Discovering outliers from web datasets. 473-486
• 
  Taghi M. Khoshgoftaar, Pierre Rebours: Evaluating noise elimination techniques for software quality estimation. 487-508

Volume 9, Number 6, 2005

• 
  Grigorios Tsoumakas, Lefteris Angelis, Ioannis P. Vlahavas: Selective fusion of heterogeneous classifiers. 511-525
• 
  Stergios Papadimitriou, Constantinos Terzidis: Efficient and interpretable fuzzy classifiers from data with support vector learning. 527-550
• 
  Tianming Hu, Sam Yuan Sung: Consensus clustering. 551-565
• 
  Jinyan Li, Limsoon Wong: Structural geography of the space of emerging patterns. 567-588
• 
  Taghi M. Khoshgoftaar, Jason Van Hulse: Identifying noisy features with the Pairwise Attribute Noise Detection Algorithm. 589-602
• 
  Chenyong Hu, Benyu Zhang, Yongji Wang, Shuicheng Yan, Zheng Chen, Qing Wang, Qiang Yang: Learning quantifiable associations via principal sparse non-negative matrix factorization. 603-620

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