Advances in Intelligent Data Analysis VIII

Table of Contents

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   Book Overview
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   Chapter 1 Intelligent Data Analysis in the 21st Century
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   Chapter 2 Analyzing the Localization of Retail Stores with Complex Systems Tools
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   Chapter 3 Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams
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   Chapter 4 Exploiting Data Missingness in Bayesian Network Modeling
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   Chapter 5 DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables
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   Chapter 6 How to Control Clustering Results? Flexible Clustering Aggregation
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   Chapter 7 Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation
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   Chapter 8 Context-Based Distance Learning for Categorical Data Clustering
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    Chapter 9 Semi-supervised Text Classification Using RBF Networks
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    Chapter 10 Improving k -NN for Human Cancer Classification Using the Gene Expression Profiles
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    Chapter 11 Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis
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    Chapter 12 Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases
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    Chapter 13 Leveraging Call Center Logs for Customer Behavior Prediction
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    Chapter 14 Condensed Representation of Sequential Patterns According to Frequency-Based Measures
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    Chapter 15 ART-Based Neural Networks for Multi-label Classification
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    Chapter 16 Two-Way Grouping by One-Way Topic Models
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    Chapter 17 Selecting and Weighting Data for Building Consensus Gene Regulatory Networks
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    Chapter 18 Incremental Bayesian Network Learning for Scalable Feature Selection
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    Chapter 19 Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring
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    Chapter 20 Zero-Inflated Boosted Ensembles for Rare Event Counts
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    Chapter 21 Mining the Temporal Dimension of the Information Propagation
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    Chapter 22 Adaptive Learning from Evolving Data Streams
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    Chapter 23 An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset
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    Chapter 24 Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes?
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    Chapter 25 Ontology-Driven KDD Process Composition
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    Chapter 26 Mining Frequent Gradual Itemsets from Large Databases
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    Chapter 27 Selecting Computer Architectures by Means of Control-Flow-Graph Mining
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    Chapter 28 Visualization-Driven Structural and Statistical Analysis of Turbulent Flows
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    Chapter 29 Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework
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    Chapter 30 Multi-Optimisation Consensus Clustering
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    Chapter 31 Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences
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    Chapter 32 Measure of Similarity and Compactness in Competitive Space
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    Chapter 33 Bayesian Solutions to the Label Switching Problem
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    Chapter 34 Efficient Vertical Mining of Frequent Closures and Generators
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    Chapter 35 Isotonic Classification Trees