Advances in Data Mining - Theoretical Aspects and Applications: 7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007, Proceedings (Lecture Notes in Computer Science, 4597).

ISBN 10: 3540734341 / ISBN 13: 9783540734345

Editore: Springer., 2007

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2007th ed. 15 x 23 cm. 367 pages. Paperback. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Codice articolo 5598VB

Dati bibliografici

• Titolo: Advances in Data Mining - Theoretical Aspects and Applications: 7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007, Proceedings (Lecture Notes in Computer Science, 4597).
• Editore: Springer.
• Data di pubblicazione: 2007
• Lingua: Inglese
• ISBN 10: 3540734341
• ISBN 13: 9783540734345
• Rilegatura: Brossura
• Cataloghi dei venditori:
  • Varia

Descrizione articolo

Riassunto

The papers in this volume represent the proceedings of the 7th Industrial Conference on Data Mining. They are organized into topical sections on aspects of classification and prediction, clustering, web mining, data mining in medicine, applications of data mining, time series and frequent pattern mining, and association rule mining. Readers gain new insights into theories underlying data mining and discover state-of-the-technology applications.

Contenuti

Invited Talk.- Case Based Reasoning and the Search for Knowledge.- Aspects of Classification and Prediction.- Subsets More Representative Than Random Ones.- Concepts for Novelty Detection and Handling Based on a Case-Based Reasoning Process Scheme.- An Efficient Algorithm for Instance-Based Learning on Data Streams.- Softening the Margin in Discrete SVM.- Feature Selection Using Ant Colony Optimization (ACO): A New Method and Comparative Study in the Application of Face Recognition System.- Outlier Detection with Streaming Dyadic Decomposition.- VISRED –Numerical Data Mining with Linear and Nonlinear Techniques.- Clustering.- Clustering by Random Projections.- Lightweight Clustering Technique for Distributed Data Mining Applications.- Web Mining.- Predicting Page Occurrence in a Click-Stream Data: Statistical and Rule-Based Approach.- Improved IR in Cohesion Model for Link Detection System.- Improving a State-of-the-Art Named Entity Recognition System Using the World Wide Web.- Data Mining in Medicine.- ISOR-2: A Case-Based Reasoning System to Explain Exceptional Dialysis Patients.- The Role of Prototypical Cases in Biomedical Case-Based Reasoning.- Applications of Data Mining.- A Search Space Reduction Methodology for Large Databases: A Case Study.- Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper Printing Press.- Active Learning Strategies: A Case Study for Detection of Emotions in Speech.- Neural Business Control System.- A Framework for Discovering and Analyzing Changing Customer Segments.- Collaborative Filtering Using Electrical Resistance Network Models.- Visual Query and Exploration System for Temporal Relational Database.- Towards an Online Image-Based Tree Taxonomy.- Distributed Generative Data Mining.- Time Series and Frequent Pattern Mining.- Privacy-Preserving Discovery of Frequent Patterns in Time Series.- Efficient Non Linear Time Series Prediction Using Non Linear Signal Analysis and Neural Networks in Chaotic Diode Resonator Circuits.- Association Minnig.- Using Disjunctions in Association Mining.