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Advances in Data Mining. Applications and Theoretical Aspects

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Cover of '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
Attention for Chapter 42: An Application of Element Oriented Analysis Based Credit Scoring
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Chapter title
An Application of Element Oriented Analysis Based Credit Scoring
Chapter number 42
Book title
Advances in Data Mining. Applications and Theoretical Aspects
Published by
Springer, Berlin, Heidelberg, July 2010
DOI 10.1007/978-3-642-14400-4_42
Book ISBNs
978-3-64-214399-1, 978-3-64-214400-4
Authors

Yihao Zhang, Mehmet A. Orgun, Rohan Baxter, Weiqiang Lin

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Ph. D. Student 2 29%
Professor 1 14%
Student > Master 1 14%
Lecturer 1 14%
Other 0 0%
Readers by discipline Count As %
Computer Science 4 57%
Business, Management and Accounting 1 14%
Unspecified 1 14%
Psychology 1 14%