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ORCID10. Industrial Conference on Data Mining 2011: New York, NY, USA
- 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
- 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 D. 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 Y. 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 Jose Espinosa, Jan F. M. Van Impe:
Prediction of Batch-End Quality for an Industrial Polymerization Process. 314-328
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