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Discovery Science

Overview of attention for book
Cover of 'Discovery Science'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Exceptional Preferences Mining
  3. Altmetric Badge
    Chapter 2 Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships
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    Chapter 3 InterSet: Interactive Redescription Set Exploration
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    Chapter 4 Expect the Unexpected – On the Significance of Subgroups
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    Chapter 5 Min-Hashing for Probabilistic Frequent Subtree Feature Spaces
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    Chapter 6 STIFE: A Framework for Feature-Based Classification of Sequences of Temporal Intervals
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    Chapter 7 Approximating Numeric Role Fillers via Predictive Clustering Trees for Knowledge Base Enrichment in the Web of Data
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    Chapter 8 Option Predictive Clustering Trees for Multi-target Regression
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    Chapter 9 HSIM: A Supervised Imputation Method for Hierarchical Classification Scenario
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    Chapter 10 Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype
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    Chapter 11 Predicting Bug-Fix Time: Using Standard Versus Topic-Based Text Categorization Techniques
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    Chapter 12 Predicting Wildfires
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    Chapter 13 Recognizing Family, Genus, and Species of Anuran Using a Hierarchical Classification Approach
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    Chapter 14 Evolution Analysis of Call Ego-Networks
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    Chapter 15 Ensemble Diversity in Evolving Data Streams
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    Chapter 16 Learning Ensembles of Process-Based Models by Bagging of Random Library Samples
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    Chapter 17 Early Random Shapelet Forest
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    Chapter 18 Shorter Rules Are Better, Aren’t They?
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    Chapter 19 Exploiting Spatial Correlation of Spectral Signature for Training Data Selection in Hyperspectral Image Classification
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    Chapter 20 A Comparison of Different Data Transformation Approaches in the Feature Ranking Context
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    Chapter 21 On Selection Bias with Imbalanced Classes
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    Chapter 22 A Framework for Classification in Data Streams Using Multi-strategy Learning
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    Chapter 23 Anomaly Detection in Networks with Temporal Information
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    Chapter 24 Accelerating Computation of Distance Based Centrality Measures for Spatial Networks
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    Chapter 25 A Semi-supervised Approach to Measuring User Privacy in Online Social Networks
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    Chapter 26 On Using Temporal Networks to Analyze User Preferences Dynamics
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    Chapter 27 Soft Kernel Target Alignment for Two-Stage Multiple Kernel Learning
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    Chapter 28 Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders
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    Chapter 29 DeepRED – Rule Extraction from Deep Neural Networks
  31. Altmetric Badge
    Chapter 30 Ligand Affinity Prediction with Multi-pattern Kernels
Attention for Chapter 1: Exceptional Preferences Mining
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Summary X
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Chapter title
Exceptional Preferences Mining
Chapter number 1
Book title
Discovery Science
Published in
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-46307-0_1
Book ISBNs
978-3-31-946306-3, 978-3-31-946307-0
Authors

Cláudio Rebelo de Sá, Wouter Duivesteijn, Carlos Soares, Arno Knobbe, de Sa, Claudio Rebelo, Duivesteijn, Wouter, Soares, Carlos, Knobbe, Arno

Editors

Toon Calders, Michelangelo Ceci, Donato Malerba

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 43%
Researcher 5 36%
Student > Ph. D. Student 1 7%
Lecturer 1 7%
Professor > Associate Professor 1 7%
Other 0 0%
Readers by discipline Count As %
Computer Science 10 71%
Engineering 2 14%
Social Sciences 1 7%
Psychology 1 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 October 2017.
All research outputs
#20,346,264
of 22,893,031 outputs
Outputs from Lecture notes in computer science
#6,993
of 8,129 outputs
Outputs of similar age
#330,809
of 393,753 outputs
Outputs of similar age from Lecture notes in computer science
#502
of 582 outputs
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So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 582 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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