Pub. Date:
Springer Berlin Heidelberg
Advances in Data Mining. Applications and Theoretical Aspects: 9th Industrial Conference, ICDM 2009, Leipzig, Germany, July 20 - 22, 2009. Proceedings / Edition 1

Advances in Data Mining. Applications and Theoretical Aspects: 9th Industrial Conference, ICDM 2009, Leipzig, Germany, July 20 - 22, 2009. Proceedings / Edition 1

by Petra PernerPetra Perner


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This volume comprises the proceedings of the Industrial Conference on Data Mining (ICDM 2009) held in Leipzig ( 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 ( 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 ( 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 (

Product Details

ISBN-13: 9783642030666
Publisher: Springer Berlin Heidelberg
Publication date: 08/12/2009
Series: Lecture Notes in Computer Science , #5633
Edition description: 2009
Pages: 402
Product dimensions: 6.10(w) x 9.20(h) x 0.90(d)

Table of Contents

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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