Information Management and Big Data: 4th Annual International Symposium, SIMBig 2017, Lima, Peru, September 4-6, 2017, Revised Selected Papers
Author:   Juan Antonio Lossio-Ventura ,  Hugo Alatrista-Salas
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2018
Volume:   795
ISBN:  

9783319905952


Pages:   149
Publication Date:   21 April 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Information Management and Big Data: 4th Annual International Symposium, SIMBig 2017, Lima, Peru, September 4-6, 2017, Revised Selected Papers


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Overview

This book constitutes the refereed proceedings of the 4th Annual International Symposium on Information Management and Big Data, SIMBig 2017, held in Lima, Peru, in September 2017.The 10 revised full papers presented were carefully reviewed and selected from 71 submissions. The papers address issues such as Data Science, Big Data, Data Mining, Natural Language Processing, Text Mining, Information Retrieval, Machine Learning, Semantic Web, Ontologies, Web Mining, Knowledge Representation and Linked Open Data, Social Web and Web Science, Information Visualization.

Full Product Details

Author:   Juan Antonio Lossio-Ventura ,  Hugo Alatrista-Salas
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2018
Volume:   795
Weight:   2.584kg
ISBN:  

9783319905952


ISBN 10:   3319905953
Pages:   149
Publication Date:   21 April 2018
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Data Science.- Big Data.- Data Mining.- Natural Language Processing.- Text Mining.- Information Retrieval.- Machine Learning.- Semantic Web.- Ontologies.- Web Mining.- Knowledge Representation and Linked Open Data.- Social Web and Web Science.- Information Visualization.

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