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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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Σειρά: | Lecture Notes in Computer Science,
6171 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.