Industrial Conference on Data Mining 2011 (original) (raw)

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10. Industrial Conference on Data Mining 2011: New York, NY, USA

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  • Theoretical Aspects of Data Mining
  • Data Mining in Medicine
  • Multimedia Data Mining
  • Data Mining in Agriculture
  • Data Mining for Industrial Processes
  • Data Warehousing
  • Data Mining in Marketing
  • WebMining/Information Mining
  • Data Mining in Telecommunications
  • Aspects of Data Mining

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    Petra Perner:
    Advances in Data Mining. Applications and Theoretical Aspects - 11th Industrial Conference, ICDM 2011, New York, NY, USA, August 30 - September 3, 2011. Proceedings. Lecture Notes in Computer Science 6870, Springer 2011, ISBN 978-3-642-23183-4

Theoretical Aspects of Data Mining

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    Hongmin Cai:
    Improvements over Adaptive Local Hyperplane to Achieve Better Classification. 1-10
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    Leon Bobrowski:
    Prognostic Models Based on Linear Separability. 11-24
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    Eric J. Pauwels, Onkar Ambekar:
    One Class Classification for Anomaly Detection: Support Vector Data Description Revisited. 25-39
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    Petra Perner:
    How to Interpret Decision Trees? 40-55
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    Elio Lozano, Edgar Acuña:
    Comparing Classifiers and Metaclassifiers. 56-65
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    Victor S. Sheng:
    Fast Data Acquisition in Cost-Sensitive Learning. 66-77

Data Mining in Medicine

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    Nawaz Mohamudally, Dost Muhammad Khan:
    Application of a Unified Medical Data Miner (UMDM) for Prediction, Classification, Interpretation and Visualization on Medical Datasets: The Diabetes Dataset Case. 78-95
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    Wieslaw Paja, Mariusz Wrzesien:
    Melanoma Diagnosis and Classification Web Center System: The Non-invasive Diagnosis Support Subsystem. 96-105
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    Juliane Perner, Elena Zotenko:
    Characterizing Cell Types through Differentially Expressed Gene Clusters Using a Model-Based Approach. 106-120
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    Jerzy Gomula, Wieslaw Paja, Krzysztof Pancerz, Teresa Mroczek, Mariusz Wrzesien:
    Experiments with Hybridization and Optimization of the Rules Knowledge Base for Classification of MMPI Profiles. 121-133

Multimedia Data Mining

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    Dalton D. Lunga, Okan K. Ersoy:
    Unsupervised Classification of Hyperspectral Images on Spherical Manifolds. 134-146
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    Shen Pan, Mineichi Kudo:
    Recognition of Porosity in Wood Microscopic Anatomical Images. 147-160

Data Mining in Agriculture

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    Georg Ruß, Rudolf Kruse:
    Exploratory Hierarchical Clustering for Management Zone Delineation in Precision Agriculture. 161-173
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    Torben Godsk, Mikkel Baun Kjærgaard:
    High Classification Rates for Continuous Cow Activity Recognition Using Low-Cost GPS Positioning Sensors and Standard Machine Learning Techniques. 174-188
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    Andreea Julea, Nicolas Méger, Christophe Rigotti, Emmanuel Trouvé, Philippe Bolon, Vasile Lazarescu:
    Mining Pixel Evolutions in Satellite Image Time Series for Agricultural Monitoring. 189-203

Data Mining for Industrial Processes

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    Éric St.-Pierre, Eugene Tuv:
    Robust, Non-Redundant Feature Selection for Yield Analysis in Semiconductor Manufacturing. 204-217
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    Yuehjen E. Shao, Yini Lin, Ya-Chi Chan:
    Integrated Use of ICA and ANN to Recognize the Mixture Control Chart Patterns in a Process. 218-227
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    Liam Evans, Niels Lohse:
    Optimized Fuzzy Decision Tree Data Mining for Engineering Applications. 228-239

Data Warehousing

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    Dung N. Lam, Alexander Y. Liu, Cheryl E. Martin:
    Graph-Based Data Warehousing Using the Core-Facets Model. 240-254

Data Mining in Marketing

WebMining/Information Mining

Data Mining in Telecommunications

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    João Lopes, Orlando Belo, Carlos Vieira:
    Applying User Signatures on Fraud Detection in Telecommunications Networks. 286-299

Aspects of Data Mining

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    Isabelle Bichindaritz:
    Methods in Case-Based Classification in Bioinformatics: Lessons Learned. 300-313
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    Geert Gins, Bert Pluymers, Ilse Y. Smets, Jairo Jose Espinosa, Jan F. M. Van Impe:
    Prediction of Batch-End Quality for an Industrial Polymerization Process. 314-328

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