8. Industrial Conference on Data Mining 2008: Leipzig, Germany

Lifescience and Biotechnological Applications for Data Mining

• Rainer Schmidt, Tina Waligora, Olga Vorobieva:
  Prototypes for Medical Case-Based Applications. 1-15
  
• Benjamin Auffarth, Maite López, Jesús Cerquides:
  Hopfield Networks in Relevance and Redundancy Feature Selection Applied to Classification of Biomedical High-Resolution Micro-CT Images. 16-31
  
• Fernando Alonso, Loïc Martínez, Aurora Pérez-Pérez, Agustín Santamaría, Juan Pedro Valente:
  Modelling Medical Time Series Using Grammar-Guided Genetic Programming. 32-46
  
• Georg Ruß, Rudolf Kruse, Martin Schneider, Peter Wagner:
  Data Mining with Neural Networks for Wheat Yield Prediction. 47-56
  
• Albert Fornells, Eva Armengol, Elisabet Golobardes, Susana Puig, Joseph Malvehy:
  Experiences Using Clustering and Generalizations for Knowledge Discovery in Melanomas Domain. 57-71
  
• Le Thi Hoai An, Le Hoai Minh, Nguyen Trong Phuc, Pham Dinh Tao:
  Noisy Image Segmentation by a Robust Clustering Algorithm Based on DC Programming and DCA. 72-86
  
• Bruno Direito, António Dourado, Francisco Sales, Marco Vieira:
  An Application for Electroencephalogram Mining for Epileptic Seizure Prediction. 87-101
  
• Sara Colantonio, Ovidio Salvetti, Marco Tampucci:
  An Infrastructure for Mining Medical Multimedia Data. 102-113
  
• Klaus-Dieter Althoff, Kerstin Bach, Meike Reichle:
  Realizing Modularized Knowledge Models for Heterogeneous Application Domains. 114-128
  

Clustering and Classification

• Joanna Jedrzejowicz, Piotr Jedrzejowicz:
  GEP-Induced Expression Trees as Weak Classifiers. 129-141
  
• Jin Feng Wang, Kwong-Sak Leung, Kin-Hong Lee, Zhenyuan Wang:
  Projection with Double Nonlinear Integrals for Classification. 142-152
  
• Gero Szepannek, Julia Schiffner, Julie Wilson, Claus Weihs:
  Local Modelling in Classification. 153-164
  
• Ladan Malazizi, Daniel Neagu, Qasim Chaudhry:
  Improving Imbalanced Multidimensional Dataset Learner Performance with Artificial Data Generation: Density-Based Class-Boost Algorithm. 165-176
  
• Leon Bobrowski:
  CPLClustering with Feature Costs. 177-188
  

Association Rule Mining

• Ron S. Kenett, Silvia Salini:
  Relative Linkage Disequilibrium: A New Measure for Association Rules. 189-199
  
• M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen:
  Weighted Association Rule Mining from Binary and Fuzzy Data. 200-212
  

E-Mail, WebMining

• José Ramon Méndez, I. Cid, Daniel Glez-Peña, Miguel Rocha, Florentino Fdez-Riverola:
  A Comparative Impact Study of Attribute Selection Techniques on Naïve Bayes Spam Filters. 213-227
  
• I. Cid, L. R. Janeiro, José Ramon Méndez, Daniel Glez-Peña, Florentino Fdez-Riverola:
  The Impact of Noise in Spam Filtering: A Case Study. 228-241
  
• Laurent Candillier, Frank Meyer, Françoise Fessant:
  Designing Specific Weighted Similarity Measures to Improve Collaborative Filtering Systems. 242-255
  
• Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
  Browsing Assistance Service for Intranet Information Systems. 256-267
  
• Radhouane Guermazi, Mohamed Hammami, Abdelmajid Ben Hamadou:
  WebAngels Filter: A Violent Web Filtering Engine Using Textual and Structural Content-Based Analysis. 268-282
  
• Dong (Haoyuan) Li, Anne Laurent, Pascal Poncelet:
  Mining Unexpected Web Usage Behaviors. 283-297
  

Information Retrieval

• Alexandra Brügger, Horst Bunke, Peter J. Dickinson, Kaspar Riesen:
  Generalized Graph Matching for Data Mining and Information Retrieval. 298-312
  

Industrial Applications

• Zohreh Nazeri, Daniel Barbará, Kenneth A. De Jong, George Donohue, Lance Sherry:
  Contrast-Set Mining of Aircraft Accidents and Incidents. 313-322
  
• David A. Holland:
  Using Data Mining to Build Integrated Discrete Event Simulations. 323-329
  
• Calin Ciufudean, Constantin Filote, Dumitru Amarandei:
  Control Charts of Workflows. 330-344
  

Frequent Item Set, Sequence Mining

• Haibin Cheng, Ruofei Zhang, Yefei Peng, Jianchang Mao, Pang-Ning Tan:
  Maximum Margin Active Learning for Sequence Labeling with Different Length. 345-359
  
• Yucai Feng, Tao Jiang, Yingbiao Zhou, Junkui Li:
  An Efficient Similarity Searching Algorithm Based on Clustering for Time Series. 360-373
  
• David Weese, Marcel H. Schulz:
  Efficient String Mining under Constraints Via the Deferred Frequency Index. 374-388
  

Aspects of Data Mining

• Rui Pedro Barbosa, Orlando Belo:
  Autonomous Forex Trading Agents. 389-403
  
• Jonas Poelmans, Paul Elzinga, Stijn Viaene, Guido Dedene:
  An Exploration into the Power of Formal Concept Analysis for Domestic Violence Analysis. 404-416
  
• Eric J. Pauwels, Paul M. de Zeeuw, Danielle M. Bounantony:
  Leatherbacks Matching by Automated Image Recognition. 417-425
  

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