Information Management and Big Data

4th Annual International Symposium, SIMBig 2017, Lima, Peru, September 4-6, 2017, Revised Selected Papers
1. Auflage 2018
ISBN: 978-3-319-90595-2
Verlag: Springer International Publishing

Buch, Englisch, Band 795, 149 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 2584 g

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Alatrista-Salas, Hugo

Lossio-Ventura, Juan Antonio

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Information Retrieval
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

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.