Industrial Conference on Data Mining 2009 (original) (raw)

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

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  • Invited Talk
  • Data Mining in Medicine and Agriculture
  • Data Mining in Marketing, Finance and Telecommunication
  • Data Mining in Process Control, Industry and Society
  • Data Mining on Multimedia Data
  • Theoretical Aspects of Data Mining

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    Petra Perner:
    Advances in Data Mining. Applications and Theoretical Aspects, 9th Industrial Conference, ICDM 2009, Leipzig, Germany, July 20-22, 2009. Proceedings. Lecture Notes in Computer Science 5633, Springer 2009, ISBN 978-3-642-03066-6

Invited Talk

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

Data Mining in Medicine and Agriculture

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    José Chilo, György Horvath, Thomas Lindblad, Roland Olsson:
    Electronic Nose Ovarian Carcinoma Diagnosis Based on Machine Learning Algorithms. 13-23
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    Georg Ruß:
    Data Mining of Agricultural Yield Data: A Comparison of Regression Models. 24-37
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    Alejandra Urtubia, José Ricardo Pérez-Correa:
    Study of Principal Components on Classification of Problematic Wine Fermentations. 38-43
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    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
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    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
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    Hugo Peixoto, Victor Alves:
    Computer-Aided Diagnosis in Brain Computed Tomography Screening. 62-72
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    Ana Isabel Aguilera, Alberto Rafael Subero:
    Knowledge Representation in Difficult Medical Diagnosis. 73-87

Data Mining in Marketing, Finance and Telecommunication

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    Serge Parshutin, Ludmila Aleksejeva, Arkady Borisov:
    Forecasting Product Life Cycle Phase Transition Points with Modular Neural Networks Based System. 88-102
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    Stephen L. France, J. Douglas Carroll:
    Visualizing the Competitive Structure of Online Auctions. 103-116
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    Monika Szczerba, Andrzej Ciemski:
    Credit Risk Handling in Telecommunication Sector. 117-130
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    Viara Popova, Robert I. John, David Stockton:
    Sales Intelligence Using Web Mining. 131-145
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    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

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

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

Theoretical Aspects of Data Mining

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

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