Theoretical Aspects of Data Mining

• 
  Hongmin Cai: Improvements over Adaptive Local Hyperplane to Achieve Better Classification. 1-10
• 
  Leon Bobrowski: Prognostic Models Based on Linear Separability. 11-24
• 
  Eric J. Pauwels, Onkar Ambekar: One Class Classification for Anomaly Detection: Support Vector Data Description Revisited. 25-39
• 
  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
• 
  Wieslaw Paja, Mariusz Wrzesien: Melanoma Diagnosis and Classification Web Center System: The Non-invasive Diagnosis Support Subsystem. 96-105
• 
  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 Lunga, Okan K. Ersoy: Unsupervised Classification of Hyperspectral Images on Spherical Manifolds. 134-146
• 
  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
• 
  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
• 
  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

• 
  Éric St.-Pierre, Eugene Tuv: Robust, Non-Redundant Feature Selection for Yield Analysis in Semiconductor Manufacturing. 204-217
• 
  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
• 
  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 Liu, Cheryl E. Martin: Graph-Based Data Warehousing Using the Core-Facets Model. 240-254

Data Mining in Marketing

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  Marco Hülsmann, Detlef Borscheid, Christoph M. Friedrich, Dirk Reith: General Sales Forecast Models for Automobile Markets Based on Time Series Analysis and Data Mining Techniques. 255-269

WebMining/Information Mining

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  Ermelinda Oro, Massimo Ruffolo: Towards a Spatial Instance Learning Method for Deep Web Pages. 270-285

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

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

last updated on Sun May 26 04:10:43 2013 by the dblp team
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