Advances in data mining : applications and theoretical aspects : 9th Industrial Conference, ICDM 2009 Leipzig, Germany, July 20-22, 2009 : proceedings
著者
書誌事項
Advances in data mining : applications and theoretical aspects : 9th Industrial Conference, ICDM 2009 Leipzig, Germany, July 20-22, 2009 : proceedings
（Lecture notes in computer science, 5633 . Lecture notes in artificial intelligence）
Springer, c2009
大学図書館所蔵 全1件
注記
Includes bibliographical references and index
内容説明・目次
内容説明
This volume comprises the proceedings of the Industrial Conference on Data Mining (ICDM 2009) held in Leipzig (www.data-mining-forum.de). For this edition the Program Committee received 130 submissions. After the pe- review process, we accepted 32 high-quality papers for oral presentation that are included in this book. The topics range from theoretical aspects of data mining to app- cations of data mining, such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society. Ten papers were selected for poster presentations that are published in the ICDM Poster Proceedings Volume by ibai-publishing (www.ibai-publishing.org). In conjunction with ICDM two workshops were run focusing on special hot app- cation-oriented topics in data mining. The workshop Data Mining in Marketing DMM 2009 was run for the second time. The papers are published in a separate workshop book "Advances in Data Mining on Markting" by ibai-publishing (www.ibai-publishing.org). The Workshop on Case-Based Reasoning for Multimedia Data CBR-MD ran for the second year. The papers are published in a special issue of the International Journal of Transactios on Case-Based Reasoning (www.ibai-publishing.org/journal/cbr).
目次
Invited Talk.- Distances in Classification.- Data Mining in Medicine and Agriculture.- Electronic Nose Ovarian Carcinoma Diagnosis Based on Machine Learning Algorithms.- Data Mining of Agricultural Yield Data: A Comparison of Regression Models.- Study of Principal Components on Classification of Problematic Wine Fermentations.- A Data Mining Method for Finding Hidden Relationship in Blood and Urine Examination Items for Health Check.- Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation.- Computer-Aided Diagnosis in Brain Computed Tomography Screening.- Knowledge Representation in Difficult Medical Diagnosis.- Data Mining in Marketing, Finance and Telecommunication.- Forecasting Product Life Cycle Phase Transition Points with Modular Neural Networks Based System.- Visualizing the Competitive Structure of Online Auctions.- Credit Risk Handling in Telecommunication Sector.- Sales Intelligence Using Web Mining.- A Sales Forecast Model for the German Automobile Market Based on Time Series Analysis and Data Mining Methods.- Data Mining in Process Control, Industry and Society.- Screening Paper Runnability in a Web-Offset Pressroom by Data Mining.- Evaluation of Distraction in a Driver-Vehicle-Environment Framework: An Application of Different Data-Mining Techniques.- SO_MAD: SensOr Mining for Anomaly Detection in Railway Data.- Online Mass Flow Prediction in CFB Boilers.- Integrating Data Mining and Agent Based Modeling and Simulation.- Combining Multidimensional Scaling and Computational Intelligence for Industrial Monitoring.- A Case of Using Formal Concept Analysis in Combination with Emergent Self Organizing Maps for Detecting Domestic Violence.- Data Mining on Multimedia Data.- Ordinal Evaluation: A New Perspective on Country Images.- Evaluation of Fusion for Similarity Searching in Online Handwritten Documents.- Self-training Strategies for Handwriting Word Recognition.- On a New Similarity Analysis in Frequency Domain for Mining Faces within a Complex Background.- Theoretical Aspects of Data Mining.- Clustering with Domain Value Dissimilarity for Categorical Data.- The Normalized Compression Distance as a Distance Measure in Entity Identification.- Attribute Constrained Rules for Partially Labeled Sequence Completion.- Mining Determining Sets for Partially Defined Functions.- On the Integration of Neural Classifiers through Similarity Analysis of Higher Order Features.- On Cellular Network Channels Data Mining and Decision Making through Ant Colony Optimization and Multi Agent Systems Strategies.- Responsible Data Releases.
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