Intelligent Data Analysis, Volume 3

Volume 3, Number 1, May 1999

• Joao Gama, Pavel Brazdil:
  Linear tree. 1-22
  
• Katharina D. C. Stärk, Dirk U. Pfeiffer:
  The application of non-parametric techniques to solve classification problems in complex data sets in veterinary epidemiology - An example. 23-35
  
• Michael R. Berthold, Klaus-Peter Huber:
  Constructing fuzzy graphs from examples. 37-53
  
• Jihoon Yang, Rajesh Parekh, Vasant Honavar:
  DistAl: An inter-pattern distance-based constructive learning algorithm. 55-73
  
• Han-Lin Li, Jing-Rung Yu:
  A piecewise regression analysis with automatic change-point detection. 75-85
  

Volume 3, Number 2, August 1999

• Fazel Famili:
  Welcome to Volume 3(2) of Intelligent Data Analysis. 93
  
• Paul Davidsson:
  Integrating models of discrimination and characterization. 95-109
  
• Juha Vesanto:
  SOM-based data visualization methods. 111-126
  
• Marjan Golob:
  Decomposition of a fuzzy controller based on the inference break-up method. 127-137
  
• Tzung-Pei Hong, Chai-Ying Lee:
  Effect of merging order on performance of fuzzy induction. 139-151
  

Volume 3, Number 3, September 1999

• Fazel Famili:
  Editior-in-Chief: Welcome to Volume 3(3) of Intelligent Data Analysis journal!. 157-158
  
• Steve A. Chien, Forest Fisher, Edisanter Lo, Helen Mortensen, Ronald Greeley:
  Using artificial intelligence planning to automate science image data analysis. 159-176
  
• Thomas J. C. Hunniford, Ray J. Hickey:
  A simulated annealing technique for generating artificial data to assess concept learning algorithms. 177-189
  
• Stephen D. Bay:
  Nearest neighbor classification from multiple feature subsets. 191-209
  
• Zhiwei Fu:
  Dimensionality optimization by heuristic greedy learning vs. genetic algorithms in knowledge discovery and data mining. 211-225
  
• Richard Nock, Pascal Jappy:
  Decision tree based induction of decision lists. 227-240
  

Volume 3, Number 4, October 1999

• Fazel Famili:
  Editorial. 243
  
• George Potamias:
  MICSL: Multiple Iterative Constraint Satisfaction based Learning. 245-265
  
• Amid Bakhtazad, Ahmet Palazoglu, Jose A. Romagnoli:
  Process data de-noising using wavelet transform. 267-285
  
• Rosaria Silipo, Gustavo Deco, Helmut Bartsch:
  Brain tumor classification based on EEG hidden dynamics. 287-306
  
• Thilo-Thomas Frieß, Robert F. Harrison:
  A kernel-based Adaline for function approximation. 307-313
  

Volume 3, Number 5, November 1999

• Alexandros Kalousis, Theoharis Theoharis:
  NOEMON: Design, implementation and performance results of an intelligent assistant for classifier selection. 319-337
  
• Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West:
  Layered dynamic probabilistic networks for spatio-temporal modelling. 339-361
  
• Tzung-Pei Hong, Chan-Sheng Kuo, Sheng-Chai Chi:
  Mining association rules from quantitative data. 363-376
  
• Jingqian Jiang, Michael W. Berry, June M. Donato, George Ostrouchov, Nancy W. Grady:
  Mining consumer product data via latent semantic indexing. 377-398
  
• M. Dolores del Castillo Sobrino, Luis J. Barrios:
  Knowledge acquisition from batch semiconductor manufacturing data. 399-408
  

Volume 3, Number 6, December 1999

• Shaobing Su, Diane J. Cook, Lawrence B. Holder:
  Knowledge discovery in molecular biology: Identifying structural regularities in proteins. 413-436
  
• Mauro Sousa, Marta Mattoso, Nelson F. F. Ebecken:
  Mining a large database with a parallel database server. 437-451
  
• Michaela M. Black, Ray J. Hickey:
  Maintaining the performance of a learned classifier under concept drift. 453-474
  
• Shichao Zhang:
  Aggregation and maintenance for database mining. 475-490
  
• Margarida G. M. S. Cardoso, Isabel H. Themido, Fernando Moura-Pires:
  Evaluating a clustering solution: An application in the tourism market. 491-510