Advances in Intelligent Data Analysis X

Table of Contents

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   Book Overview
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   Chapter 1 Advances in Intelligent Data Analysis X
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   Chapter 2 Computational Sustainability
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   Chapter 3 Intelligent Data Analysis: Keeping Pace with Technological Advances
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   Chapter 4 Comparative Analysis of Power Consumption in University Buildings Using envSOM
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   Chapter 5 Context-Aware Collaborative Data Stream Mining in Ubiquitous Devices
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   Chapter 6 Advances in Intelligent Data Analysis X
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   Chapter 7 Mining Fault-Tolerant Item Sets Using Subset Size Occurrence Distributions
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   Chapter 8 Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing
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    Chapter 9 Towards Automatic Pathway Generation from Biological Full-Text Publications
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    Chapter 10 Online Writing Data Representation: A Graph Theory Approach
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    Chapter 11 Online Evaluation of Email Streaming Classifiers Using GNUsmail
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    Chapter 12 The Dynamic Stage Bayesian Network: Identifying and Modelling Key Stages in a Temporal Process
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    Chapter 13 Mining Train Delays
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    Chapter 14 Robustness of Change Detection Algorithms
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    Chapter 15 GaMuSo: Graph Base Music Recommendation in a Social Bookmarking Service
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    Chapter 16 Resampling-Based Change Point Estimation
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    Chapter 17 Learning about the Learning Process
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    Chapter 18 Predicting Computer Performance Dynamics
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    Chapter 19 Prototype-Based Classification of Dissimilarity Data
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    Chapter 20 Automatic Layout Design Solution
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    Chapter 21 An Alternative to ROC and AUC Analysis of Classifiers
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    Chapter 22 The Algorithm APT to Classify in Concurrence of Latency and Drift
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    Chapter 23 Identification of Nuclear Magnetic Resonance Signals via Gaussian Mixture Decomposition
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    Chapter 24 Graphical Feature Selection for Multilabel Classification Tasks
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    Chapter 25 A Web2.0 Strategy for the Collaborative Analysis of Complex Bioimages
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    Chapter 26 Data Quality through Model Checking Techniques
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    Chapter 27 Generating Automated News to Explain the Meaning of Sensor Data
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    Chapter 28 Binding Statistical and Machine Learning Models for Short-Term Forecasting of Global Solar Radiation
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    Chapter 29 Advances in Intelligent Data Analysis X
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    Chapter 30 Advances in Intelligent Data Analysis X
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    Chapter 31 Mining Sentiments from Songs Using Latent Dirichlet Allocation
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    Chapter 32 Analyzing Parliamentary Elections Based on Voting Advice Application Data
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    Chapter 33 Integrating Marine Species Biomass Data by Modelling Functional Knowledge
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    Chapter 34 A Stylometric Study and Assessment of Machine Translators
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    Chapter 35 Traffic Events Modeling for Structural Health Monitoring
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    Chapter 36 Advances in Intelligent Data Analysis X
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    Chapter 37 iMMPC: A Local Search Approach for Incremental Bayesian Network Structure Learning
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    Chapter 38 Analyzing Emotional Semantics of Abstract Art Using Low-Level Image Features