Data Processing In Archaeology

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Big Data and Archaeology

Big Data and Archaeology
Author :
Publisher : Archaeopress Publishing Ltd
Total Pages : 107
Release :
ISBN-10 : 9781789697223
ISBN-13 : 1789697220
Rating : 4/5 (220 Downloads)

Book Synopsis Big Data and Archaeology by : François Djindjian

Download or read book Big Data and Archaeology written by François Djindjian and published by Archaeopress Publishing Ltd. This book was released on 2021-08-05 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advent of Big Data is a recent and debated issue in Digital Archaeology. Papers consider the historiographic context and current developments, as well as comprehensive examples of a multidisciplinary and integrative approach to the recording, management and exploitation of excavation data and documents produced over a long period of research.


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Big Data and Archaeology
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Authors: François Djindjian
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Type: BOOK - Published: 2021-08-05 - Publisher: Archaeopress Publishing Ltd

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The advent of Big Data is a recent and debated issue in Digital Archaeology. Papers consider the historiographic context and current developments, as well as co
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3D Data Acquisition for Bioarchaeology, Forensic Anthropology, and Archaeology serves as a handbook for the collection and processing of 3-D scanned data and as
Computational Intelligence in Archaeology
Language: en
Pages: 436
Authors: Barcelo, Juan A.
Categories: Computers
Type: BOOK - Published: 2008-07-31 - Publisher: IGI Global

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Provides analytical theories offered by innovative artificial intelligence computing methods in the archaeological domain.
Caring for Digital Data in Archaeology
Language: en
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A wide variety of organizations are both creating and retaining digital data from archaeological projects. While current methods for preservation and access to
Statistics for Archaeologists
Language: en
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Authors: Robert D. Drennan
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In the decade since its publication, the first edition of Statistics for Archaeologists has become a staple in the classroom. Taking a jargon-free approach, thi