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Advances in Intelligent Data Analysis XIII

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Table of Contents

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    Book Overview
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    Chapter 1 Malware Phylogenetics Based on the Multiview Graphical Lasso
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    Chapter 2 Modeling Stationary Data by a Class of Generalized Ornstein-Uhlenbeck Processes: The Gaussian Case
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    Chapter 3 An Approach to Controlling the Runtime for Search Based Modularisation of Sequential Source Code Check-ins
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    Chapter 4 Simple Pattern Spectrum Estimation for Fast Pattern Filtering with CoCoNAD
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    Chapter 5 Advances in Intelligent Data Analysis XIII
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    Chapter 6 Comparing Pre-defined Software Engineering Metrics with Free-Text for the Prediction of Code ‘Ripples’
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    Chapter 7 ApiNATOMY: Towards Multiscale Views of Human Anatomy
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    Chapter 8 Granularity of Co-evolution Patterns in Dynamic Attributed Graphs
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    Chapter 9 Multi-user Diverse Recommendations through Greedy Vertex-Angle Maximization
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    Chapter 10 ERMiner: Sequential Rule Mining Using Equivalence Classes
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    Chapter 11 Mining Longitudinal Epidemiological Data to Understand a Reversible Disorder
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    Chapter 12 The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction
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    Chapter 13 Advances in Intelligent Data Analysis XIII
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    Chapter 14 Modeling Daily Profiles of Solar Global Radiation Using Statistical and Data Mining Techniques
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    Chapter 15 Identification of Bilingual Segments for Translation Generation
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    Chapter 16 Advances in Intelligent Data Analysis XIII
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    Chapter 17 Fast Simultaneous Clustering and Feature Selection for Binary Data
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    Chapter 18 Instant Exceptional Model Mining Using Weighted Controlled Pattern Sampling
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    Chapter 19 Resampling Approaches to Improve News Importance Prediction
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    Chapter 20 An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time
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    Chapter 21 Mining Representative Frequent Patterns in a Hierarchy of Contexts
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    Chapter 22 A Deep Interpretation of Classifier Chains
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    Chapter 23 A Nonparametric Mixture Model for Personalizing Web Search
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    Chapter 24 Widened KRIMP: Better Performance through Diverse Parallelism
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    Chapter 25 Finding the Intrinsic Patterns in a Collection of Time Series
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    Chapter 26 A Spatio-temporal Bayesian Network Approach for Revealing Functional Ecological Networks in Fisheries
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    Chapter 27 Extracting Predictive Models from Marked-Up Free-Text Documents at the Royal Botanic Gardens, Kew, London
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    Chapter 28 Detecting Localised Anomalous Behaviour in a Computer Network
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    Chapter 29 Indirect Estimation of Shortest Path Distributions with Small-World Experiments
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    Chapter 30 Parametric Nonlinear Regression Models for Dike Monitoring Systems
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    Chapter 31 Exploiting novel properties of space-filling curves for data analysis
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    Chapter 32 RealKrimp — Finding Hyperintervals that Compress with MDL for Real-Valued Data
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    Chapter 33 Real-Time Adaptive Residual Calculation for Detecting Trend Deviations in Systems with Natural Variability
Attention for Chapter 4: Simple Pattern Spectrum Estimation for Fast Pattern Filtering with CoCoNAD
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Chapter title
Simple Pattern Spectrum Estimation for Fast Pattern Filtering with CoCoNAD
Chapter number 4
Book title
Advances in Intelligent Data Analysis XIII
Published in
Lecture notes in computer science, October 2014
DOI 10.1007/978-3-319-12571-8_4
Book ISBNs
978-3-31-912570-1, 978-3-31-912571-8
Authors

Christian Borgelt, David Picado-Muiño

Editors

Hendrik Blockeel, Matthijs van Leeuwen, Veronica Vinciotti