Advances in Data Mining. Applications and Theoretical Aspects

Table of Contents

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   Book Overview
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   Chapter 1 Moving Targets
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   Chapter 2 Bioinformatics Contributions to Data Mining
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   Chapter 3 Bootstrap Feature Selection for Ensemble Classifiers
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   Chapter 4 Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
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   Chapter 5 Finding Irregularly Shaped Clusters Based on Entropy
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   Chapter 6 Fuzzy Conceptual Clustering
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   Chapter 7 Mining Concept Similarities for Heterogeneous Ontologies
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   Chapter 8 Re-mining Positive and Negative Association Mining Results
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    Chapter 9 Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining
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    Chapter 10 Describing Data with the Support Vector Shell in Distributed Environments
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    Chapter 11 Robust Clustering Using Discriminant Analysis
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    Chapter 12 New Approach in Data Stream Association Rule Mining Based on Graph Structure
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    Chapter 13 Fast Training of Neural Networks for Image Compression
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    Chapter 14 Processing Handwritten Words by Intelligent Use of OCR Results
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    Chapter 15 Saliency-Based Candidate Inspection Region Extraction in Tape Automated Bonding
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    Chapter 16 Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data
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    Chapter 17 Entropic Quadtrees and Mining Mars Craters
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    Chapter 18 Hybrid DIAAF/RS: Statistical Textual Feature Selection for Language-Independent Text Classification
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    Chapter 19 Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders
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    Chapter 20 Comparison of Redundancy and Relevance Measures for Feature Selection in Tissue Classification of CT Images
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    Chapter 21 Quantile Regression Model for Impact Toughness Estimation
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    Chapter 22 Mining for Paths in Flow Graphs
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    Chapter 23 Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis
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    Chapter 24 Managing Product Life Cycle with MultiAgent Data Mining System
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    Chapter 25 Advances in Data Mining. Applications and Theoretical Aspects
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    Chapter 26 Determination of the Fault Quality Variables of a Multivariate Process Using Independent Component Analysis and Support Vector Machine
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    Chapter 27 Dynamic Pattern Extraction of Parameters in Laser Welding Process
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    Chapter 28 Trajectory Clustering for Vibration Detection in Aircraft Engines
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    Chapter 29 Episode Rule-Based Prognosis Applied to Complex Vacuum Pumping Systems Using Vibratory Data
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    Chapter 30 Predicting Disk Failures with HMM- and HSMM-Based Approaches
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    Chapter 31 Aircraft Engine Health Monitoring Using Self-Organizing Maps
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    Chapter 32 Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy
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    Chapter 33 Selection of High Risk Patients with Ranked Models Based on the CPL Criterion Functions
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    Chapter 34 Medical Datasets Analysis: A Constructive Induction Approach
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    Chapter 35 Regression Models for Spatial Data: An Example from Precision Agriculture
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    Chapter 36 Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database
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    Chapter 37 Spam Email Filtering Using Network-Level Properties
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    Chapter 38 Domain-Specific Identification of Topics and Trends in the Blogosphere
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    Chapter 39 Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways
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    Chapter 40 Interest-Determining Web Browser
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    Chapter 41 Web-Site Boundary Detection
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    Chapter 42 An Application of Element Oriented Analysis Based Credit Scoring
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    Chapter 43 A Semi-supervised Approach for Reject Inference in Credit Scoring Using SVMs
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    Chapter 44 Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool
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    Chapter 45 The Orange Customer Analysis Platform
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    Chapter 46 Semi-supervised Learning for False Alarm Reduction
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    Chapter 47 Learning from Humanoid Cartoon Designs
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    Chapter 48 Mining Relationship Associations from Knowledge about Failures Using Ontology and Inference
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    Chapter 49 Event Prediction in Network Monitoring Systems: Performing Sequential Pattern Mining in Osmius Monitoring Tool
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    Chapter 50 Selection of Effective Network Parameters in Attacks for Intrusion Detection