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Advances in Data Mining: Applications and Theoretical Aspects 10th Industrial Conference, ICDM 2010, Berlin, Germany, July 12-14, 2010. Proceedings /

These are the proceedings of the tenth event of the Industrial Conference on Data Mining ICDM held in Berlin (www.data-mining-forum.de). For this edition the Program Committee received 175 submissions. After the pe- review process, we accepted 49 high-quality papers for oral presentation that are in...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Perner, Petra (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Lecture Notes in Artificial Intelligence, 6171
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Invited Talk
  • Moving Targets
  • Bioinformatics Contributions to Data Mining
  • Theoretical Aspects of Data Mining
  • Bootstrap Feature Selection for Ensemble Classifiers
  • Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
  • Finding Irregularly Shaped Clusters Based on Entropy
  • Fuzzy Conceptual Clustering
  • Mining Concept Similarities for Heterogeneous Ontologies
  • Re-mining Positive and Negative Association Mining Results
  • Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining
  • Describing Data with the Support Vector Shell in Distributed Environments
  • Robust Clustering Using Discriminant Analysis
  • New Approach in Data Stream Association Rule Mining Based on Graph Structure
  • Multimedia Data Mining
  • Fast Training of Neural Networks for Image Compression
  • Processing Handwritten Words by Intelligent Use of OCR Results
  • Saliency-Based Candidate Inspection Region Extraction in Tape Automated Bonding
  • Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data
  • Entropic Quadtrees and Mining Mars Craters
  • Hybrid DIAAF/RS: Statistical Textual Feature Selection for Language-Independent Text Classification
  • Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders
  • Comparison of Redundancy and Relevance Measures for Feature Selection in Tissue Classification of CT Images
  • Data Mining in Marketing
  • Quantile Regression Model for Impact Toughness Estimation
  • Mining for Paths in Flow Graphs
  • Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis
  • Managing Product Life Cycle with MultiAgent Data Mining System
  • Modeling Pricing Strategies Using Game Theory and Support Vector Machines
  • Data Mining in Industrial Processes
  • Determination of the Fault Quality Variables of a Multivariate Process Using Independent Component Analysis and Support Vector Machine
  • Dynamic Pattern Extraction of Parameters in Laser Welding Process
  • Trajectory Clustering for Vibration Detection in Aircraft Engines
  • Episode Rule-Based Prognosis Applied to Complex Vacuum Pumping Systems Using Vibratory Data
  • Predicting Disk Failures with HMM- and HSMM-Based Approaches
  • Aircraft Engine Health Monitoring Using Self-Organizing Maps
  • Data Mining in Medicine
  • Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy
  • Selection of High Risk Patients with Ranked Models Based on the CPL Criterion Functions
  • Medical Datasets Analysis: A Constructive Induction Approach
  • Data Mining in Agriculture
  • Regression Models for Spatial Data: An Example from Precision Agriculture
  • Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database
  • WebMining
  • Spam Email Filtering Using Network-Level Properties
  • Domain-Specific Identification of Topics and Trends in the Blogosphere
  • Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways
  • Interest-Determining Web Browser
  • Web-Site Boundary Detection
  • Data Mining in Finance
  • An Application of Element Oriented Analysis Based Credit Scoring
  • A Semi-supervised Approach for Reject Inference in Credit Scoring Using SVMs
  • Aspects of Data Mining
  • Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool
  • The Orange Customer Analysis Platform
  • Semi-supervised Learning for False Alarm Reduction
  • Learning from Humanoid Cartoon Designs
  • Mining Relationship Associations from Knowledge about Failures Using Ontology and Inference
  • Data Mining for Network Performance Monitoring
  • Event Prediction in Network Monitoring Systems: Performing Sequential Pattern Mining in Osmius Monitoring Tool
  • Selection of Effective Network Parameters in Attacks for Intrusion Detection.