Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : sans médiation
Titre(s) : Big data applications for improving library services [Texte imprimé] / [edited by] Sangeeta Namdev Dhamdhere,...
Publication : Hershey, PA : Information Science Reference, copyright 2021
Description matérielle : 1 vol. (XVIII-211 p.) ; 26 cm
Collection : Premier reference source
Advances in library and information science (ALIS) book series
Lien à la collection : Premier reference source
Advances in library and information science (ALIS) book series
Note(s) : Includes bibliographical references and index
"This book explores the application of big data in library services"
Autre(s) auteur(s) : Dhamdhere, Sangeeta Namdev (1975-....). Éditeur scientifique
Sujet(s) : Données massives
Bibliothèques universitaires
Innovations bibliothéconomiques
Bibliothécaires -- Effets des innovations technologiques
Indice(s) Dewey :
025.502 85 (23e éd.) = Services et programmes pour les utilisateurs (bibliothéconomie) - Applications
informatiques
Identifiants, prix et caractéristiques : ISBN 9781799830511. - ISBN 1799830519. - ISBN 9781799830528. - ISBN 1799830527. -
ISBN 9781799830498. - ISBN 9781799830504
Identifiant de la notice : ark:/12148/cb466269956
Notice n° :
FRBNF46626995
(notice reprise d'un réservoir extérieur)
Table des matières : Awareness of big data usage and applications among librarians in Zimbabwe ; Opportunities
and challenges of using big data applications in institutions of higher learning libraries
and research institutions ; Big data and knowledge resource centre ; Ranking of
IITs in India during 2005-2014: a scientometric analysis ; Is Twitter an unexploited
potential in Indian academic libraries?: case study based on select academic library
tweets ; Application framework of big data: its challenge and opportunity in academic
library ; Data visualization and data granularity in delivering research data in
African libraries ; A novel method for discovering meta-path of a large heterogeneous
information network using Apache Spark distributed computing ; Application of big
data analytics for efficient web-based library and information services ; Big data
analytics services for smart libraries: challenges and opportunities for the data
librarian ; Big data and its characteristics for improving the library services
; Big data: information literacy perspectives and applications in academic environment.