1.

Record Nr.

UNINA9910140511503321

Autore

Lang Valter

Titolo

Estonian approaches to culture theory / / edited byValter Lang & Kalevi Kull

Pubbl/distr/stampa

Tartu, : University of Tartu Press, 2014

Estonia : , : Tartu Uikooli Kirjastus OU, , 2014

©2014

ISBN

9789949326143 (ebook)

9789949326136 (paperback)

Descrizione fisica

1 online resource (335 pages) : illustrations; digital, PDF file(s)

Collana

Approaches to culture theory series ; ; Volume 4

Disciplina

306.01

Soggetti

Ethnology - Research - Estonia

Culture - Research - Estonia

Anthropology - Research - Estonia

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Sommario/riassunto

The fourth volume in the Approaches to Culture Theory series is a contemporary Estonian anthology in culture theory. Most of the authors are members of the research groups of the Centre of Excellence in Cultural Theory: archaeology, cultural communication studies, contemporary cultural studies, ethnology, folkloristics, religious studies, landscape studies, and semiotics. These scholars have revised their recent work to highlight current topics in culture theory in Estonia and use theoretical analyses to advance the self-description and self-understanding of culture. Contributors include Aili Aarelaid-Tart, Martin Ehala, Halliki Harro-Loit, Tiiu Jaago, Anne Kull, Kalevi Kull, Kristin Kuutma, Valter Lang, Art Leete, Kati Lindström, Mihhail Lotman, Hannes Palang, Rein Raud, Raul Tiganik, Peeter Torop, Ülo Valk, and Tõnu Viik.URI



2.

Record Nr.

UNINA9910688466703321

Titolo

Data Integrity and Quality / / Santhosh Kumar Balan, editor

Pubbl/distr/stampa

London : , : IntechOpen, , 2021

Descrizione fisica

1 online resource (152 pages)

Disciplina

005.7

Soggetti

Data integrity

Big data

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

Data integrity is the quality, reliability, trustworthiness, and completeness of a data set, providing accuracy, consistency, and context. Data quality refers to the state of qualitative or quantitative pieces of information. Over five sections, this book discusses data integrity and data quality as well as their applications in various fields.