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Population Reconstruction

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Cover of 'Population Reconstruction'

Table of Contents

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    Book Overview
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    Chapter 1 The Danish Demographic Database—Principles and Methods for Cleaning and Standardisation of Data
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    Chapter 2 Dutch Historical Toponyms in the Semantic Web
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    Chapter 3 Automatic Methods for Coding Historical Occupation Descriptions to Standard Classifications
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    Chapter 4 Learning Name Variants from Inexact High-Confidence Matches
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    Chapter 5 Advanced Record Linkage Methods and Privacy Aspects for Population Reconstruction—A Survey and Case Studies
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    Chapter 6 Reconstructing Historical Populations from Genealogical Data Files
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    Chapter 7 Multi-Source Entity Resolution for Genealogical Data
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    Chapter 8 Record Linkage in the Historical Population Register for Norway
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    Chapter 9 Record Linkage in Medieval and Early Modern Text
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    Chapter 10 Reconstructing Lifespans Through Historical Marriage Records of Barcelona from the Sixteenth and Seventeenth Centuries
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    Chapter 11 Dancing with Dirty Data: Problems in the Extraction of Life-Course Evidence from Historical Censuses
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    Chapter 12 Using the Canadian Censuses of 1852 and 1881 for Automatic Data Linkage: A Case Study of Intergenerational Social Mobility
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    Chapter 13 Introducing ‘Movers’ into Community Reconstructions: Linking Civil Registers of Vital Events to Local and National Census Data: A Scottish Experiment
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    Chapter 14 Building a Life Course Dataset from Australian Convict Records: Founders & Survivors: Australian Life Courses in Historical Context, 1803–1920
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Title
Population Reconstruction
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-19884-2
ISBNs
978-3-31-919883-5, 978-3-31-919884-2, 978-3-31-936499-5
Editors

Gerrit Bloothooft, Peter Christen, Kees Mandemakers, Marijn Schraagen

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 34%
Student > Ph. D. Student 8 21%
Student > Doctoral Student 4 11%
Student > Master 4 11%
Unspecified 1 3%
Other 3 8%
Unknown 5 13%
Readers by discipline Count As %
Computer Science 13 34%
Arts and Humanities 4 11%
Agricultural and Biological Sciences 2 5%
Social Sciences 2 5%
Environmental Science 2 5%
Other 10 26%
Unknown 5 13%