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

Petra Perner (Ed.): 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

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
Elio Lozano, Edgar Acuña:
Comparing Classifiers and Metaclassifiers. 56-65
Victor S. Sheng:
Fast Data Acquisition in Cost-Sensitive Learning. 66-77

Data Mining in Medicine

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
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

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

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

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

Data Mining in Marketing

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

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

Data Mining in Telecommunications

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

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