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Advances in Intelligent Data Analysis VI

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Table of Contents

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    Book Overview
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    Chapter 1 Probabilistic Latent Clustering of Device Usage
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    Chapter 2 Condensed Nearest Neighbor Data Domain Description
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    Chapter 3 Balancing Strategies and Class Overlapping
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    Chapter 4 Modeling Conditional Distributions of Continuous Variables in Bayesian Networks
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    Chapter 5 Kernel K-Means for Categorical Data
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    Chapter 6 Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction
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    Chapter 7 A Distance-Based Method for Preference Information Retrieval in Paired Comparisons
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    Chapter 8 Knowledge Discovery in the Identification of Differentially Expressed Genes in Tumoricidal Macrophage
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    Chapter 9 Searching for Meaningful Feature Interactions with Backward-Chaining Rule Induction
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    Chapter 10 Advances in Intelligent Data Analysis VI
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    Chapter 11 Bayesian Networks Learning for Gene Expression Datasets
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    Chapter 12 Pulse: Mining Customer Opinions from Free Text
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    Chapter 13 Keystroke Analysis of Different Languages: A Case Study
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    Chapter 14 Combining Bayesian Networks with Higher-Order Data Representations
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    Chapter 15 Removing Statistical Biases in Unsupervised Sequence Learning
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    Chapter 16 Learning from Ambiguously Labeled Examples
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    Chapter 17 Learning Label Preferences: Ranking Error Versus Position Error
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    Chapter 18 FCLib: A Library for Building Data Analysis and Data Discovery Tools
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    Chapter 19 A Knowledge-Based Model for Analyzing GSM Network Performance
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    Chapter 20 Sentiment Classification Using Information Extraction Technique
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    Chapter 21 Extending the SOM Algorithm to Visualize Word Relationships
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    Chapter 22 Towards Automatic and Optimal Filtering Levels for Feature Selection in Text Categorization
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    Chapter 23 Block Clustering of Contingency Table and Mixture Model
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    Chapter 24 Adaptive Classifier Combination for Visual Information Processing Using Data Context-Awareness
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    Chapter 25 Self-poised Ensemble Learning
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    Chapter 26 Discriminative Remote Homology Detection Using Maximal Unique Sequence Matches
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    Chapter 27 From Local Pattern Mining to Relevant Bi-cluster Characterization
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    Chapter 28 Machine-Learning with Cellular Automata
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    Chapter 29 MDS polar : A New Approach for Dimension Reduction to Visualize High Dimensional Data
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    Chapter 30 Miner Ants Colony: A New Approach to Solve a Mine Planning Problem
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    Chapter 31 Extending the GA-EDA Hybrid Algorithm to Study Diversification and Intensification in GAs and EDAs
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    Chapter 32 Spatial Approach to Pose Variations in Face Verification
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    Chapter 33 Analysis of Feature Rankings for Classification
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    Chapter 34 A Mixture Model-Based On-line CEM Algorithm
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    Chapter 35 Reliable Hierarchical Clustering with the Self-organizing Map
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    Chapter 36 Statistical Recognition of Noun Phrases in Unrestricted Text
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    Chapter 37 Successive Restrictions Algorithm in Bayesian Networks
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    Chapter 38 Modelling the Relationship Between Streamflow and Electrical Conductivity in Hollin Creek, Southeastern Australia
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    Chapter 39 Biological Cluster Validity Indices Based on the Gene Ontology
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    Chapter 40 An Evaluation of Filter and Wrapper Methods for Feature Selection in Categorical Clustering
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    Chapter 41 Dealing with Data Corruption in Remote Sensing
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    Chapter 42 Regularized Least-Squares for Parse Ranking
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    Chapter 43 Bayesian Network Classifiers for Time-Series Microarray Data
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    Chapter 44 Feature Discovery in Classification Problems
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    Chapter 45 Advances in Intelligent Data Analysis VI
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    Chapter 46 Detecting Groups of Anomalously Similar Objects in Large Data Sets
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Title
Advances in Intelligent Data Analysis VI
Published by
Springer Science & Business Media, August 2005
DOI 10.1007/11552253
ISBNs
978-3-54-028795-7, 978-3-54-031926-9
Editors

Famili, A. Fazel, Kok, Joost N., Peña, José M., Siebes, Arno, Feelders, Ad

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 3%
Germany 1 2%
Portugal 1 2%
Brazil 1 2%
United States 1 2%
Unknown 57 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Researcher 11 17%
Student > Master 10 16%
Student > Doctoral Student 4 6%
Student > Bachelor 4 6%
Other 9 14%
Unknown 9 14%
Readers by discipline Count As %
Computer Science 25 40%
Engineering 11 17%
Business, Management and Accounting 3 5%
Agricultural and Biological Sciences 2 3%
Linguistics 1 2%
Other 4 6%
Unknown 17 27%