Advances in data mining : theoretical aspects and applications : 7th Industrial Conference, ICDM 2007 Leipzig, Germany, July 14-18, 2007 : proceedings
著者
書誌事項
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 . Lecture notes in artificial intelligence）
Springer, c2007
大学図書館所蔵 件 / 全7件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
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.
「Nielsen BookData」 より
