Advances in Intelligent Data Analysis XII

Table of Contents

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   Book Overview
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   Chapter 1 Data, Not Dogma: Big Data, Open Data, and the Opportunities Ahead
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   Chapter 2 Computational Techniques for Crop Disease Monitoring in the Developing World
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   Chapter 3 Subjective Interestingness in Exploratory Data Mining
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   Chapter 4 Time Point Estimation of a Single Sample from High Throughput Experiments Based on Time-Resolved Data and Robust Correlation Measures
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   Chapter 5 Advances in Intelligent Data Analysis XII
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   Chapter 6 Graph Clustering by Maximizing Statistical Association Measures
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   Chapter 7 Evaluation of Association Rule Quality Measures through Feature Extraction
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   Chapter 8 Towards Comprehensive Concept Description Based on Association Rules
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    Chapter 9 CD-MOA: Change Detection Framework for Massive Online Analysis
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    Chapter 10 Integrating Multiple Studies of Wheat Microarray Data to Identify Treatment-Specific Regulatory Networks
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    Chapter 11 Finding Frequent Patterns in Parallel Point Processes
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    Chapter 12 Behavioral Clustering for Point Processes
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    Chapter 13 Estimating Prediction Certainty in Decision Trees
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    Chapter 14 Interactive Discovery of Interesting Subgroup Sets
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    Chapter 15 Gaussian Mixture Models for Time Series Modelling, Forecasting, and Interpolation
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    Chapter 16 When Does Active Learning Work?
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    Chapter 17 OrderSpan: Mining Closed Partially Ordered Patterns
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    Chapter 18 Learning Multiple Temporal Matching for Time Series Classification
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    Chapter 19 On the importance of nonlinear modeling in computer performance prediction
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    Chapter 20 Diversity-Driven Widening
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    Chapter 21 Towards Indexing of Web3D Signing Avatars
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    Chapter 22 Variational Bayesian PCA versus k -NN on a Very Sparse Reddit Voting Dataset
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    Chapter 23 Analysis of Cluster Structure in Large-Scale English Wikipedia Category Networks
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    Chapter 24 1d-SAX: A Novel Symbolic Representation for Time Series
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    Chapter 25 Learning Models of Activities Involving Interacting Objects
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    Chapter 26 Correcting the Usage of the Hoeffding Inequality in Stream Mining
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    Chapter 27 Exploratory Data Analysis through the Inspection of the Probability Density Function of the Number of Neighbors
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    Chapter 28 The Modelling of Glaucoma Progression through the Use of Cellular Automata
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    Chapter 29 Towards Narrative Ideation via Cross-Context Link Discovery Using Banded Matrices
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    Chapter 30 Gaussian Topographic Co-clustering Model
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    Chapter 31 Preventing Churn in Telecommunications: The Forgotten Network
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    Chapter 32 Computational Properties of Fiction Writing and Collaborative Work
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    Chapter 33 Classifier Evaluation with Missing Negative Class Labels
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    Chapter 34 Dynamic MMHC: A Local Search Algorithm for Dynamic Bayesian Network Structure Learning
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    Chapter 35 Accurate Visual Features for Automatic Tag Correction in Videos
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    Chapter 36 Ontology Database System and Triggers
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    Chapter 37 A Policy Iteration Algorithm for Learning from Preference-Based Feedback
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    Chapter 38 Multiclass Learning from Multiple Uncertain Annotations
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    Chapter 39 Learning Compositional Hierarchies of a Sensorimotor System