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Advances in Intelligent Data Analysis VII

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Cover of 'Advances in Intelligent Data Analysis VII'

Table of Contents

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    Book Overview
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    Chapter 1 Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions
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    Chapter 2 Multiplicative Updates for L 1 –Regularized Linear and Logistic Regression
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    Chapter 3 Learning to Align: A Statistical Approach
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    Chapter 4 Transductive Reliability Estimation for Kernel Based Classifiers
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    Chapter 5 Parameter Learning for Bayesian Networks with Strict Qualitative Influences
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    Chapter 6 Tree Augmented Naive Bayes for Regression Using Mixtures of Truncated Exponentials: Application to Higher Education Management
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    Chapter 7 DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation
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    Chapter 8 Visualising the Cluster Structure of Data Streams
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    Chapter 9 Relational Topographic Maps
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    Chapter 10 Incremental Learning with Multiple Classifier Systems Using Correction Filters for Classification
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    Chapter 11 Combining Bagging and Random Subspaces to Create Better Ensembles
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    Chapter 12 Two Bagging Algorithms with Coupled Learners to Encourage Diversity
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    Chapter 13 Relational Algebra for Ranked Tables with Similarities: Properties and Implementation
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    Chapter 14 A New Way to Aggregate Preferences: Application to Eurovision Song Contests
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    Chapter 15 Conditional Classification Trees Using Instrumental Variables
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    Chapter 16 Robust Tree-Based Incremental Imputation Method for Data Fusion
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    Chapter 17 Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data
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    Chapter 18 Recurrent Predictive Models for Sequence Segmentation
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    Chapter 19 Sequence Classification Using Statistical Pattern Recognition
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    Chapter 20 Subrule Analysis and the Frequency-Confidence Diagram
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    Chapter 21 A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables
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    Chapter 22 Visualizing Sets of Partial Rankings
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    Chapter 23 A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization
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    Chapter 24 Landscape Multidimensional Scaling
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    Chapter 25 A Support Vector Machine Approach to Dutch Part-of-Speech Tagging
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    Chapter 26 Towards Adaptive Web Mining: Histograms and Contexts in Text Data Clustering
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    Chapter 27 Does SVM Really Scale Up to Large Bag of Words Feature Spaces?
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    Chapter 28 Advances in Intelligent Data Analysis VII
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    Chapter 29 Motif Discovery Using Multi-Objective Genetic Algorithm in Biosequences
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    Chapter 30 Soft Topographic Map for Clustering and Classification of Bacteria
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    Chapter 31 Fuzzy Logic Based Gait Classification for Hemiplegic Patients
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    Chapter 32 Advances in Intelligent Data Analysis VII
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    Chapter 33 Novelty Detection in Patient Histories: Experiments with Measures Based on Text Compression
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Mentioned by

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Citations

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Title
Advances in Intelligent Data Analysis VII
Published by
Springer Berlin Heidelberg, August 2007
DOI 10.1007/978-3-540-74825-0
ISBNs
978-3-54-074824-3, 978-3-54-074825-0
Editors

R. Berthold, Michael, Shawe-Taylor, John, Lavrač, Nada

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 11%
Unknown 8 89%
Readers by discipline Count As %
Business, Management and Accounting 1 11%
Unknown 8 89%