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Advances in Intelligent Data Analysis XVI

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Cover of 'Advances in Intelligent Data Analysis XVI'

Table of Contents

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    Book Overview
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    Chapter 1 Improving Chairlift Security with Deep Learning
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    Chapter 2 Discovering Motifs with Variants in Music Databases
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    Chapter 3 Biclustering Multivariate Time Series
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    Chapter 4 Visualization of Topic-Sentiment Dynamics in Crowdfunding Projects
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    Chapter 5 Regression Tree for Bandits Models in A/B Testing
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    Chapter 6 Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases
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    Chapter 7 Skin Cancer Detection in Dermoscopy Images Using Sub-Region Features
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    Chapter 8 Bucket Selection: A Model-Independent Diverse Selection Strategy for Widening
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    Chapter 9 Interactive Pattern Sampling for Characterizing Unlabeled Data
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    Chapter 10 Searching for Spatio-Temporal-Keyword Patterns in Semantic Trajectories
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    Chapter 11 Natural Language Analysis of Online Health Forums
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    Chapter 12 Freudian Slips: Analysing the Internal Representations of a Neural Network from Its Mistakes
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    Chapter 13 KAPMiner: Mining Ordered Association Rules with Constraints
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    Chapter 14 A Dynamic Adaptive Questionnaire for Improved Disease Diagnostics
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    Chapter 15 ABIDE: Querying Time-Evolving Sequences of Temporal Intervals
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    Chapter 16 The Actors of History: Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950
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    Chapter 17 Learning DTW-Preserving Shapelets
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    Chapter 18 Droplet Ensemble Learning on Drifting Data Streams
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    Chapter 19 Predictive Clustering Trees for Hierarchical Multi-Target Regression
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    Chapter 20 Identifying Novel Features from Specimen Data for the Prediction of Valuable Collection Trips
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    Chapter 21 Adapting Supervised Classification Algorithms to Arbitrary Weak Label Scenarios
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    Chapter 22 The Combination of Decision in Crowds When the Number of Reliable Annotator Is Scarce
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    Chapter 23 Estimating Sequence Similarity from Contig Sets
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    Chapter 24 Computational Topology Techniques for Characterizing Time-Series Data
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    Chapter 25 Improving Cold-Start Recommendations with Social-Media Trends and Reputations
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    Chapter 26 Hierarchical Novelty Detection
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    Chapter 27 Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone’s Sensors
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    Chapter 28 A Structural Benchmark for Logical Argumentation Frameworks
Attention for Chapter 18: Droplet Ensemble Learning on Drifting Data Streams
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Chapter title
Droplet Ensemble Learning on Drifting Data Streams
Chapter number 18
Book title
Advances in Intelligent Data Analysis XVI
Published in
Lecture notes in computer science, October 2017
DOI 10.1007/978-3-319-68765-0_18
Book ISBNs
978-3-31-968764-3, 978-3-31-968765-0
Authors

Pierre-Xavier Loeffel, Albert Bifet, Christophe Marsala, Marcin Detyniecki

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Professor 3 30%
Researcher 1 10%
Student > Master 1 10%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 7 70%
Decision Sciences 1 10%
Unknown 2 20%