Advances in Data Mining. Applications and Theoretical Aspects

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AGGIUNGI AL CARRELLO
TRAMA
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).

SOMMARIO
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.

ALTRE INFORMAZIONI
  • Condizione: Nuovo
  • ISBN: 9783642030666
  • Collana: Lecture Notes in Computer Science
  • Dimensioni: 235 x 155 mm Ø 635 gr
  • Formato: Brossura
  • Illustration Notes: XI, 402 p.
  • Pagine Arabe: 402
  • Pagine Romane: xi