Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects: 8th Industrial Conference, ICDM 2008 Leipzig, Germany, . (Lecture Notes in Computer Science)

ISBN 10: 3540707174 / ISBN 13: 9783540707172

Editore: Springer, 2008

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Dati bibliografici

• Titolo: Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects: 8th Industrial Conference, ICDM 2008 Leipzig, Germany, . (Lecture Notes in Computer Science)
• Editore: Springer
• Data di pubblicazione: 2008
• Lingua: Inglese
• ISBN 10: 3540707174
• ISBN 13: 9783540707172
• Rilegatura: Paperback
• Condizione: Like New
• Tipo di libro: book

Descrizione articolo

Riassunto

This book constitutes the refereed proceedings of the 8th Industrial Conference on Data Mining, ICDM 2008, held in Leipzig, Germany in July 2008. The 31 revised full papers presented were carefully reviewed and selected from 116 submissions. The papers are organized in topical sections on lifescience and biotechnological applications for data mining, clustering and classification, association rule mining, e-mail, Web mining, information retrieval, industrial applications, frequent item set, sequence mining, and aspects of data mining.

Contenuti

Lifescience and Biotechnological Applications for Data Mining.- Prototypes for Medical Case-Based Applications.- Hopfield Networks in Relevance and Redundancy Feature Selection Applied to Classification of Biomedical High-Resolution Micro-CT Images.- Modelling Medical Time Series Using Grammar-Guided Genetic Programming.- Data Mining with Neural Networks for Wheat Yield Prediction.- Experiences Using Clustering and Generalizations for Knowledge Discovery in Melanomas Domain.- Noisy Image Segmentation by a Robust Clustering Algorithm Based on DC Programming and DCA.- An Application for Electroencephalogram Mining for Epileptic Seizure Prediction.- An Infrastructure for Mining Medical Multimedia Data.- Realizing Modularized Knowledge Models for Heterogeneous Application Domains.- Clustering and Classification.- GEP-Induced Expression Trees as Weak Classifiers.- Projection with Double Nonlinear Integrals for Classification.- Local Modelling in Classification.- Improving Imbalanced Multidimensional Dataset Learner Performance with Artificial Data Generation: Density-Based Class-Boost Algorithm.- CPL Clustering with Feature Costs.- Association Rule Mining.- Relative Linkage Disequilibrium: A New Measure for Association Rules.- Weighted Association Rule Mining from Binary and Fuzzy Data.- E-Mail, WebMining.- A Comparative Impact Study of Attribute Selection Techniques on Naïve Bayes Spam Filters.- The Impact of Noise in Spam Filtering: A Case Study.- Designing Specific Weighted Similarity Measures to Improve Collaborative Filtering Systems.- Browsing Assistance Service for Intranet Information Systems.- WebAngels Filter: A Violent Web Filtering Engine Using Textual and Structural Content-Based Analysis.- Mining Unexpected Web Usage Behaviors.- Information Retrieval.- Generalized Graph Matching for Data Mining and Information Retrieval.- Industrial Applications.- Contrast-Set Mining of Aircraft Accidents and Incidents.- Using Data Mining to Build Integrated Discrete Event Simulations.- Control Charts of Workflows.- Frequent Item Set, Sequence Mining.- Maximum Margin Active Learning for Sequence Labeling with Different Length.- An Efficient Similarity Searching Algorithm Based on Clustering for Time Series.- Efficient String Mining under Constraints Via the Deferred Frequency Index.- Aspects of Data Mining.- Autonomous Forex Trading Agents.- An Exploration into the Power of Formal Concept Analysis for Domestic Violence Analysis.- Leatherbacks Matching by Automated Image Recognition.