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Big Data Analysis: New Algorithms for a New Society

Overview of attention for book
Cover of 'Big Data Analysis: New Algorithms for a New Society'

Table of Contents

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    Book Overview
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    Chapter 1 A Machine Learning Perspective on Big Data Analysis
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    Chapter 2 An Insight on Big Data Analytics
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    Chapter 3 Toward Problem Solving Support Based on Big Data and Domain Knowledge: Interactive Granular Computing and Adaptive Judgement
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    Chapter 4 An Overview of Concept Drift Applications
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    Chapter 5 Analysis of Text-Enriched Heterogeneous Information Networks
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    Chapter 6 Implementing Big Data Analytics Projects in Business
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    Chapter 7 Data Mining in Finance: Current Advances and Future Challenges
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    Chapter 8 Industrial-Scale Ad Hoc Risk Analytics Using MapReduce
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    Chapter 9 Big Data and the Internet of Things
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    Chapter 10 Social Network Analysis in Streaming Call Graphs
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    Chapter 11 Scalable Cloud-Based Data Analysis Software Systems for Big Data from Next Generation Sequencing
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    Chapter 12 Discovering Networks of Interdependent Features in High-Dimensional Problems
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    Chapter 13 Final Remarks on Big Data Analysis and Its Impact on Society and Science
Attention for Chapter 5: Analysis of Text-Enriched Heterogeneous Information Networks
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Citations

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Chapter title
Analysis of Text-Enriched Heterogeneous Information Networks
Chapter number 5
Book title
Big Data Analysis: New Algorithms for a New Society
Published by
Springer International Publishing, December 2015
DOI 10.1007/978-3-319-26989-4_5
Book ISBNs
978-3-31-926987-0, 978-3-31-926989-4
Authors

Jan Kralj, Anita Valmarska, Miha Grčar, Marko Robnik-Šikonja, Nada Lavrač

Editors

Nathalie Japkowicz, Jerzy Stefanowski

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 67%
Researcher 1 33%
Readers by discipline Count As %
Computer Science 3 100%

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