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Advances in Intelligent Data Analysis XIV

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Cover of 'Advances in Intelligent Data Analysis XIV'

Table of Contents

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    Book Overview
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    Chapter 1 Data Analytics and Optimisation for Assessing a Ride Sharing System
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    Chapter 2 Constraint-Based Querying for Bayesian Network Exploration
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    Chapter 3 Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data
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    Chapter 4 Segregation Discovery in a Social Network of Companies
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    Chapter 5 A First-Order-Logic Based Model for Grounded Language Learning
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    Chapter 6 A Parallel Distributed Processing Algorithm for Image Feature Extraction
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    Chapter 7 Modeling Concept Drift: A Probabilistic Graphical Model Based Approach
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    Chapter 8 Diversity-Driven Widening of Hierarchical Agglomerative Clustering
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    Chapter 9 Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering
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    Chapter 10 Time Series Classification with Representation Ensembles
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    Chapter 11 Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study
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    Chapter 12 On Binary Reduction of Large-Scale Multiclass Classification Problems
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    Chapter 13 Probabilistic Active Learning in Datastreams
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    Chapter 14 Implicitly Constrained Semi-supervised Least Squares Classification
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    Chapter 15 Diagonal Co-clustering Algorithm for Document-Word Partitioning
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    Chapter 16 I-Louvain: An Attributed Graph Clustering Method
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    Chapter 17 Class-Based Outlier Detection: Staying Zombies or Awaiting for Resurrection?
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    Chapter 18 Using Metalearning for Prediction of Taxi Trip Duration Using Different Granularity Levels
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    Chapter 19 Using Entropy as a Measure of Acceptance for Multi-label Classification
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    Chapter 20 Investigation of Node Deletion Techniques for Clustering Applications of Growing Self Organizing Maps
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    Chapter 21 Exploratory Topic Modeling with Distributional Semantics
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    Chapter 22 Assigning Geo-relevance of Sentiments Mined from Location-Based Social Media Posts
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    Chapter 23 Continuous and Discrete Deep Classifiers for Data Integration
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    Chapter 24 A Bayesian Approach for Identifying Multivariate Differences Between Groups
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    Chapter 25 Automatically Discovering Offensive Patterns in Soccer Match Data
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    Chapter 26 Fast Algorithm Selection Using Learning Curves
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    Chapter 27 Optimally Weighted Cluster Kriging for Big Data Regression
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    Chapter 28 Slower Can Be Faster: The iRetis Incremental Model Tree Learner
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    Chapter 29 VoQs: A Web Application for Visualization of Questionnaire Surveys
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