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Solving Large Scale Learning Tasks. Challenges and Algorithms

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Cover of 'Solving Large Scale Learning Tasks. Challenges and Algorithms'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Online Social Networks Event Detection: A Survey
  3. Altmetric Badge
    Chapter 2 Detecting Events in Online Social Networks: Definitions, Trends and Challenges
  4. Altmetric Badge
    Chapter 3 Why Do We Need Data Privacy?
  5. Altmetric Badge
    Chapter 4 Sharing Data with Guaranteed Privacy
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    Chapter 5 Distributed Support Vector Machines: An Overview
  7. Altmetric Badge
    Chapter 6 Big Data Classification – Aspects on Many Features
  8. Altmetric Badge
    Chapter 7 Knowledge Discovery from Complex High Dimensional Data
  9. Altmetric Badge
    Chapter 8 Local Pattern Detection in Attributed Graphs
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    Chapter 9 Advances in Exploratory Pattern Analytics on Ubiquitous Data and Social Media
  11. Altmetric Badge
    Chapter 10 Understanding Human Mobility with Big Data
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    Chapter 11 On Event Detection from Spatial Time Series for Urban Traffic Applications
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    Chapter 12 Compressible Reparametrization of Time-Variant Linear Dynamical Systems
  14. Altmetric Badge
    Chapter 13 Detection of Local Intensity Changes in Grayscale Images with Robust Methods for Time-Series Analysis
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    Chapter 14 SCHEP — A Geometric Quality Measure for Regression Rule Sets, Gauging Ranking Consistency Throughout the Real-Valued Target Space
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    Chapter 15 Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015
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    Chapter 16 Collaborative Online Learning of an Action Model
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    Chapter 17 Ontology-Based Classification – Application of Machine Learning Concepts Without Learning
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    Chapter 18 Deep Distant Supervision: Learning Statistical Relational Models for Weak Supervision in Natural Language Extraction
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    Chapter 19 Supervised Extraction of Usage Patterns in Different Document Representations
  21. Altmetric Badge
    Chapter 20 Data-Driven Analyses of Electronic Text Books
  22. Altmetric Badge
    Chapter 21 k-Morik: Mining Patterns to Classify Cartified Images of Katharina
Attention for Chapter 7: Knowledge Discovery from Complex High Dimensional Data
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Chapter title
Knowledge Discovery from Complex High Dimensional Data
Chapter number 7
Book title
Solving Large Scale Learning Tasks. Challenges and Algorithms
Published in
Lecture notes in computer science, July 2016
DOI 10.1007/978-3-319-41706-6_7
Book ISBNs
978-3-31-941705-9, 978-3-31-941706-6
Authors

Sangkyun Lee, Andreas Holzinger

Editors

Stefan Michaelis, Nico Piatkowski, Marco Stolpe

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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Professor > Associate Professor 2 12%
Student > Master 2 12%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Other 3 18%
Unknown 3 18%
Readers by discipline Count As %
Computer Science 9 53%
Unspecified 1 6%
Physics and Astronomy 1 6%
Social Sciences 1 6%
Engineering 1 6%
Other 0 0%
Unknown 4 24%
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 09 July 2016.
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#18,465,704
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Outputs from Lecture notes in computer science
#6,015
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Outputs of similar age
#267,289
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Outputs of similar age from Lecture notes in computer science
#272
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We're also able to compare this research output to 392 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.