Intelligent Data Analysis, Volume 8

Volume 8, Number 1, 2004

• Kunhuang Huarng, Hui-Kuang Yu:
  A dynamic approach to adjusting lengths of intervals in fuzzy time series forecasting. 3-27
  
• Mihai Lazarescu, Svetha Venkatesh, Hung Hai Bui:
  Using multiple windows to track concept drift. 29-59
  
• Brent D. Morring, Tony R. Martinez:
  Weighted Instance Typicality Search (WITS): A nearest neighbor data reduction algorithm. 61-78
  
• Tianming Hu, Sam Yuan Sung:
  A trimmed mean approach to finding spatial outliers. 79-95
  
• Peter Meinicke, Thomas Hermann, Holger Bekel, H. M. Müller, S. Weiss, Helge Ritter:
  Identification of discriminative features in the EEG. 97-107
  

Volume 8, Number 2, 2004

• Stergios Papadimitriou, Constantinos Terzidis:
  Growing kernel-based self-organized maps trained with supervised bias. 111-130
  
• Elias Pampalk, Gerhard Widmer, Alvin T. S. Chan:
  A new approach to hierarchical clustering and structuring of data with Self-Organizing Maps. 131-149
  
• Lili Liu, Andrew K. C. Wong, Yang Wang:
  A global optimal algorithm for class-dependent discretization of continuous data. 151-170
  
• Krishnamoorthy Srikumar, Bharat Bhasker:
  Efficiently mining Maximal Frequent Sets in dense databases for discovering association rules. 171-182
  
• Ha H. Nguyen, Christine W. Chan, Malcolm Wilson:
  Prediction of oil well production: A multiple-neural-network approach. 183-196
  
• Ashwani Kumar, D. P. Agrawal, S. D. Joshi:
  Multiscale rough set data analysis with application to stock performance modeling. 197-209
  

Volume 8, Number 3, 2004

• Miroslav Kubat, Joao Gama, Paul E. Utgoff:
  Incremental learning and concept drift: Editor's introduction. 211-212
  
• Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Teresa Maria Altomare Basile, Nicola Di Mauro:
  Incremental learning and concept drift in INTHELEX. 213-237
  
• Tetsuya Yoshida, Takuya Wada, Hiroshi Motoda, Takashi Washio:
  Adaptive Ripple Down Rules method based on minimum description length principle. 239-265
  
• Mondher Maddouri:
  Towards a machine learning approach based on incremental concept formation. 267-280
  
• Ralf Klinkenberg:
  Learning drifting concepts: Example selection vs. example weighting. 281-300
  
• Anthony Robins:
  Sequential learning in neural networks: A review and a discussion of pseudorehearsal based methods. 301-322
  

Volume 8, Number 4, 2004

• Yongguo Liu, Xiaofeng Liao, Xue Ming Li, Zhongfu Wu:
  A Tabu Clustering algorithm for Intrusion Detection. 325-344
  
• Sergio M. Savaresi, Daniel Boley:
  A comparative analysis on the bisecting K-means and the PDDP clustering algorithms. 345-362
  
• Zoran Stejic, Yasufumi Takama, Kaoru Hirota:
  Modified hierarchical genetic algorithm for relevance feedback in image retrieval. 363-384
  
• Wen Xian Yang:
  An improved genetic algorithm adopting immigration operator. 385-401
  
• Maheshkumar Sabhnani, Gürsel Serpen:
  Why machine learning algorithms fail in misuse detection on KDD intrusion detection data set. 403-415
  
• Ming-Cheng Tseng, Wen-Yang Lin:
  Maintenance of generalized association rules with multiple minimum supports. 417-436
  

Volume 8, Number 5, 2004

• Michael R. Berthold, Elizabeth Bradley, Rudolf Kruse:
  Guest Editorial: "Advances in intelligent data analysis". 437-438
  
• Peter Geibel, Ulf Brefeld, Fritz Wysotzki:
  Perceptron and SVM learning with generalized cost models. 439-455
  
• Tony Lindgren, Henrik Boström:
  Resolving rule conflicts with double induction. 457-468
  
• Allan Tucker, Xiaohui Liu:
  A Bayesian network approach to explaining time series with changing structure. 469-480
  
• Tobias Scheffer:
  Email answering assistance by semi-supervised text classification. 481-493
  
• Heiko Hofer, Christian Borgelt, Michael R. Berthold:
  Large scale mining of molecular fragments with wildcards. 495-504
  
• V. Robins, Jennifer Abernethy, N. Rooney, Elizabeth Bradley:
  Topology and intelligent data analysis. 505-515
  

Volume 8, Number 6, 2004

• Li Shen, James Ford, Fillia Makedon, Andrew J. Saykin:
  A surface-based approach for classification of 3D neuroanatomic structures. 519-542
  
• Hsu-Chih Wu, Chuen-Tsai Sun, Sih-Shin Lee:
  Visualization of evolutionary computation processes from a population perspective. 543-561
  
• Hyunju Noh, Minjung Kwak, Ingoo Han:
  Improving the prediction performance of customer behavior through multiple imputation. 563-577
  
• Simone Garatti, Sergio M. Savaresi, Sergio Bittanti, Luca La Brocca:
  On the relationships between user profiles and navigation sessions in virtual communities: A data-mining approach. 579-600
  
• Michiel C. van Wezel, Walter A. Kosters:
  Nonmetric multidimensional scaling: Neural networks versus traditional techniques. 601-613
  
• Niall Rooney, David W. Patterson, Mykola Galushka:
  A comprehensive review of recursive Naïve Bayes Classifiers. 615-628