8. Industrial Conference on Data Mining 2009: Leipzig, Germany

Invited Talk

• Claus Weihs, Gero Szepannek:
  Distances in Classification. 1-12
  

Data Mining in Medicine and Agriculture

• José Chilo, György Horvath, Thomas Lindblad, Roland Olsson:
  Electronic Nose Ovarian Carcinoma Diagnosis Based on Machine Learning Algorithms. 13-23
  
• Georg Ruß:
  Data Mining of Agricultural Yield Data: A Comparison of Regression Models. 24-37
  
• Alejandra Urtubia U., J. Ricardo Pérez-Correa:
  Study of Principal Components on Classification of Problematic Wine Fermentations. 38-43
  
• Kazuhiko Shinozawa, Norihiro Hagita, Michiko Furutani, Rumiko Matsuoka:
  A Data Mining Method for Finding Hidden Relationship in Blood and Urine Examination Items for Health Check. 44-50
  
• Weiqi Wang, Yanbo J. Wang, René Bañares-Alcántara, Zhanfeng Cui, Frans Coenen:
  Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation. 51-61
  
• Hugo Peixoto, Victor Alves:
  Computer-Aided Diagnosis in Brain Computed Tomography Screening. 62-72
  
• Ana Isabel Aguilera, Alberto Rafael Subero:
  Knowledge Representation in Difficult Medical Diagnosis. 73-87
  

Data Mining in Marketing, Finance and Telecommunication

• Serge Parshutin, Ludmila Aleksejeva, Arkady Borisov:
  Forecasting Product Life Cycle Phase Transition Points with Modular Neural Networks Based System. 88-102
  
• Stephen L. France, J. Douglas Carroll:
  Visualizing the Competitive Structure of Online Auctions. 103-116
  
• Monika Szczerba, Andrzej Ciemski:
  Credit Risk Handling in Telecommunication Sector. 117-130
  
• Viara Popova, Robert John, David Stockton:
  Sales Intelligence Using Web Mining. 131-145
  
• Bernhard Brühl, Marco Hülsmann, Detlef Borscheid, Christoph M. Friedrich, Dirk Reith:
  A Sales Forecast Model for the German Automobile Market Based on Time Series Analysis and Data Mining Methods. 146-160
  

Data Mining in Process Control, Industry and Society

• A. Alzghoul, Antanas Verikas, Magnus Hållander, Marija Bacauskiene, Adas Gelzinis:
  Screening Paper Runnability in a Web-Offset Pressroom by Data Mining. 161-175
  
• Fabio Tango, Marco Botta:
  Evaluation of Distraction in a Driver-Vehicle-Environment Framework: An Application of Different Data-Mining Techniques. 176-190
  
• Julien Rabatel, Sandra Bringay, Pascal Poncelet:
  SO_MAD: SensOr Mining for Anomaly Detection in Railway Data. 191-205
  
• Andriy Ivannikov, Mykola Pechenizkiy, Jorn Bakker, Timo Leino, Mikko Jegoroff, Tommi Kärkkäinen, Sami Äyrämö:
  Online Mass Flow Prediction in CFB Boilers. 206-219
  
• Omar Baqueiro, Yanbo J. Wang, Peter McBurney, Frans Coenen:
  Integrating Data Mining and Agent Based Modeling and Simulation. 220-231
  
• António Dourado, Sara Silva, Lara Aires, João Araújo:
  Combining Multidimensional Scaling and Computational Intelligence for Industrial Monitoring. 232-246
  
• Jonas Poelmans, Paul Elzinga, Stijn Viaene, Guido Dedene:
  A Case of Using Formal Concept Analysis in Combination with Emergent Self Organizing Maps for Detecting Domestic Violence. 247-260
  

Data Mining on Multimedia Data

• Marko Robnik-Sikonja, Kris Brijs, Koen Vanhoof:
  Ordinal Evaluation: A New Perspective on Country Images. 261-275
  
• Sascha Schimke, Maik Schott, Claus Vielhauer, Jana Dittmann:
  Evaluation of Fusion for Similarity Searching in Online Handwritten Documents. 276-290
  
• Volkmar Frinken, Horst Bunke:
  Self-training Strategies for Handwriting Word Recognition. 291-300
  
• D. A. Karras:
  On a New Similarity Analysis in Frequency Domain for Mining Faces within a Complex Background. 301-309
  

Theoretical Aspects of Data Mining

• Jeong-Hoon Lee, Yoon-Joon Lee, Minho Park:
  Clustering with Domain Value Dissimilarity for Categorical Data. 310-324
  
• Sebastian Klenk, Dennis Thom, Gunther Heidemann:
  The Normalized Compression Distance as a Distance Measure in Entity Identification. 325-337
  
• Chad A. Williams, Peter C. Nelson, Abolfazl (Kouros) Mohammadian:
  Attribute Constrained Rules for Partially Labeled Sequence Completion. 338-352
  
• Dan A. Simovici, Dan Pletea, Rosanne Vetro:
  Mining Determining Sets for Partially Defined Functions. 353-360
  
• Dimitris A. Karras, Basil G. Mertzios:
  On the Integration of Neural Classifiers through Similarity Analysis of Higher Order Features. 361-371
  
• P. M. Papazoglou, D. A. Karras, Rallis C. Papademetriou:
  On Cellular Network Channels Data Mining and Decision Making through Ant Colony Optimization and Multi Agent Systems Strategies. 372-387
  
• Sanguthevar Rajasekaran, Ofer Harel, Michael Zuba, Greg Matthews, Robert Aseltine:
  Responsible Data Releases. 388-400
  

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