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Highlighting the Importance of Big Data Management and Analysis for Various Applications

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Cover of 'Highlighting the Importance of Big Data Management and Analysis for Various Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Big Data Analytics of Social Network Data: Who Cares Most About You on Facebook?
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    Chapter 2 Characterizing and Predicting Yelp Users’ Behavior
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    Chapter 3 Composite Visualization Features in PEVNET: A Framework for Visualization of Criminal Networks
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    Chapter 4 Effective Customer Relationship Management at ATB Financial: A Case Study on Industry-Academia Collaboration in Data Analytics
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    Chapter 5 Effective Personnel Selection and Team Building Using Intelligent Data Analytics
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    Chapter 6 Extracting Relevant Information from Big Data to Anticipate Forced Migration
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    Chapter 7 Implicit Social Networks for Social Recommendation of Scholarly Papers
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    Chapter 8 The Effect of Corpora Size on Performance of Named Entity Recognition
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    Chapter 9 Time Series Analysis for the Most Frequently Mentioned Biomarkers in Breast Cancer Articles
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    Chapter 10 Transportation Engineering on Social Question and Answer Websites: An Empirical Case Study
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    Chapter 11 Understanding Health Service Delivery Using Spatio-Temporal Patient Mobility Data
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    Chapter 12 WaterVis: GeoVisual Analytics for Exploring Hydrological Data
Attention for Chapter 8: The Effect of Corpora Size on Performance of Named Entity Recognition
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Chapter title
The Effect of Corpora Size on Performance of Named Entity Recognition
Chapter number 8
Book title
Highlighting the Importance of Big Data Management and Analysis for Various Applications
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-60255-4_8
Book ISBNs
978-3-31-960254-7, 978-3-31-960255-4
Authors

Zeinab Liaghat

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 100%
Readers by discipline Count As %
Computer Science 2 100%

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