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Data Analysis, Machine Learning and Applications

Overview of attention for book
Cover of 'Data Analysis, Machine Learning and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Distance-Based Kernels for Real-Valued Data
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    Chapter 2 Fast Support Vector Machine Classification of Very Large Datasets
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    Chapter 3 Fusion of Multiple Statistical Classifiers
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    Chapter 4 Calibrating Margin-Based Classifier Scores into Polychotomous Probabilities
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    Chapter 5 Classification with Invariant Distance Substitution Kernels
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    Chapter 6 Applying the Kohonen Self-Organizing Map Networks to Select Variables
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    Chapter 7 Computer Assisted Classification of Brain Tumors
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    Chapter 8 Model Selection in Mixture Regression Analysis–A Monte Carlo Simulation Study
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    Chapter 9 Comparison of Local Classification Methods
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    Chapter 10 Incorporating Domain Specific Information into Gaia Source Classification
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    Chapter 11 Identification of Noisy Variables for Nonmetric and Symbolic Data in Cluster Analysis
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    Chapter 12 Families of Dendrograms
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    Chapter 13 Mixture Models in Forward Search Methods for Outlier Detection
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    Chapter 14 On Multiple Imputation Through Finite Gaussian Mixture Models
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    Chapter 15 Mixture Model Based Group Inference in Fused Genotype and Phenotype Data
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    Chapter 16 The Noise Component in Model-based Cluster Analysis
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    Chapter 17 An Artificial Life Approach for Semi-supervised Learning
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    Chapter 18 Hard and Soft Euclidean Consensus Partitions
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    Chapter 19 Rationale Models for Conceptual Modeling
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    Chapter 20 Measures of Dispersion and Cluster-Trees for Categorical Data
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    Chapter 21 Information Integration of Partially Labeled Data
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    Chapter 22 Data Mining of an On-line Survey – A Market Research Application
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    Chapter 23 Nonlinear Constrained Principal Component Analysis in the Quality Control Framework
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    Chapter 24 Non Parametric Control Chart by Multivariate Additive Partial Least Squares via Spline
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    Chapter 25 Simple Non Symmetrical Correspondence Analysis
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    Chapter 26 Factorial Analysis of a Set of Contingency Tables
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    Chapter 27 Graph Mining: Repository vs. Canonical Form
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    Chapter 28 Classification and Retrieval of Ancient Watermarks
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    Chapter 29 Segmentation and Classification of Hyper-Spectral Skin Data
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    Chapter 30 FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns
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    Chapter 31 A Matlab Toolbox for Music Information Retrieval
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    Chapter 32 A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems
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    Chapter 33 Applying the Q n Estimator Online
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    Chapter 34 A Comparative Study on Polyphonic Musical Time Series Using MCMC Methods
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    Chapter 35 Collective Classification for Labeling of Places and Objects in 2D and 3D Range Data
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    Chapter 36 Lag or Error? — Detecting the Nature of Spatial Correlation
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    Chapter 37 Urban Data Mining Using Emergent SOM
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    Chapter 38 KNIME: The Konstanz Information Miner
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    Chapter 39 A Pattern Based Data Mining Approach
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    Chapter 40 A Framework for Statistical Entity Identification in R
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    Chapter 41 Combining Several SOM Approaches in Data Mining: Application to ADSL Customer Behaviours Analysis
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    Chapter 42 On the Analysis of Irregular Stock Market Trading Behavior
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    Chapter 43 A Procedure to Estimate Relations in a Balanced Scorecard
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    Chapter 44 The Application of Taxonomies in the Context of Configurative Reference Modelling
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    Chapter 45 Two-Dimensional Centrality of a Social Network
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    Chapter 46 Benchmarking Open-Source Tree Learners in R/RWeka
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    Chapter 47 From Spelling Correction to Text Cleaning – Using Context Information
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    Chapter 48 Root Cause Analysis for Quality Management
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    Chapter 49 Finding New Technological Ideas and Inventions with Text Mining and Technique Philosophy
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    Chapter 50 Investigating Classifier Learning Behavior with Experiment Databases
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    Chapter 51 Conjoint Analysis for Complex Services Using Clusterwise Hierarchical Bayes Procedures
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    Chapter 52 Building an Association Rules Framework for Target Marketing
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    Chapter 53 AHP versus ACA – An Empirical Comparison
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    Chapter 54 On the Properties of the Rank Based Multivariate Exponentially Weighted Moving Average Control Charts
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    Chapter 55 Are Critical Incidents Really Critical for a Customer Relationship? A MIMIC Approach
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    Chapter 56 Heterogeneity in the Satisfaction-Retention Relationship – A Finite-mixture Approach
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    Chapter 57 An Early-Warning System to Support Activities in the Management of Customer Equity and How to Obtain the Most from Spatial Customer Equity Potentials
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    Chapter 58 Classifying Contemporary Marketing Practices
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    Chapter 59 Predicting Stock Returns with Bayesian Vector Autoregressive Models
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    Chapter 60 The Evaluation of Venture-Backed IPOs – Certification Model versus Adverse Selection Model, Which Does Fit Better?
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    Chapter 61 Using Multiple SVM Models for Unbalanced Credit Scoring Data Sets
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    Chapter 62 Comparison of Recommender System Algorithms Focusing on the New-item and User-bias Problem
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    Chapter 63 Collaborative Tag Recommendations
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    Chapter 64 Applying Small Sample Test Statistics for Behavior-based Recommendations
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    Chapter 65 Classifying Number Expressions in German Corpora
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    Chapter 66 Non-Profit Web Portals — Usage Based Benchmarking for Success Evaluation
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    Chapter 67 Text Mining of Supreme Administrative Court Jurisdictions
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    Chapter 68 Supporting Web-based Address Extraction with Unsupervised Tagging
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    Chapter 69 A Two-Stage Approach for Context-Dependent Hypernym Extraction
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    Chapter 70 Analysis of Dwell Times in Web Usage Mining
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    Chapter 71 New Issues in Near-duplicate Detection
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    Chapter 72 Comparing the University of South Florida Homograph Norms with Empirical Corpus Data
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    Chapter 73 Content-based Dimensionality Reduction for Recommender Systems
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    Chapter 74 The Distribution of Data in Word Lists and its Impact on the Subgrouping of Languages
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    Chapter 75 Quantitative Text Analysis Using L-, F- and T-Segments
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    Chapter 76 Projecting Dialect Distances to Geography: Bootstrap Clustering vs. Noisy Clustering
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    Chapter 77 Structural Differentiae of Text Types – A Quantitative Model
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    Chapter 78 Scenario Evaluation Using Two-mode Clustering Approaches in Higher Education
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    Chapter 79 Visualization and Clustering of Tagged Music Data
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    Chapter 80 Effects of Data Transformation on Cluster Analysis of Archaeometric Data
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    Chapter 81 Fuzzy PLS Path Modeling: A New Tool For Handling Sensory Data
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    Chapter 82 Automatic Analysis of Dewey Decimal Classification Notations
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    Chapter 83 A New Interval Data Distance Based on the Wasserstein Metric
Overall attention for this book and its chapters
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Title
Data Analysis, Machine Learning and Applications
Published by
Springer Science & Business Media, April 2008
DOI 10.1007/978-3-540-78246-9
ISBNs
978-3-54-078246-9, 978-3-54-078239-1
Editors

Preisach, Christine, Burkhardt, Hans, Schmidt-Thieme, Lars, Decker, Reinhold

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
United Kingdom 1 1%
Bulgaria 1 1%
Spain 1 1%
Unknown 91 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 24%
Researcher 15 16%
Student > Ph. D. Student 13 14%
Student > Bachelor 12 13%
Student > Postgraduate 7 7%
Other 12 13%
Unknown 14 15%
Readers by discipline Count As %
Computer Science 33 34%
Agricultural and Biological Sciences 10 10%
Engineering 10 10%
Chemistry 8 8%
Business, Management and Accounting 5 5%
Other 11 11%
Unknown 19 20%