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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
Attention for Chapter 8: Visualising the Cluster Structure of Data Streams
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Citations

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Chapter title
Visualising the Cluster Structure of Data Streams
Chapter number 8
Book title
Advances in Intelligent Data Analysis VII
Published by
Springer, Berlin, Heidelberg, September 2007
DOI 10.1007/978-3-540-74825-0_8
Book ISBNs
978-3-54-074824-3, 978-3-54-074825-0
Authors

Dimitris K. Tasoulis, Gordon Ross, Niall M. Adams

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Brazil 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Student > Master 5 18%
Professor > Associate Professor 4 14%
Student > Bachelor 3 11%
Other 2 7%
Other 5 18%
Unknown 2 7%
Readers by discipline Count As %
Computer Science 20 71%
Mathematics 2 7%
Engineering 2 7%
Psychology 1 4%
Agricultural and Biological Sciences 1 4%
Other 0 0%
Unknown 2 7%