loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: Zaher Al Aghbari

Affiliation: Department of Computer Science, United Arab Emirates

Keyword(s): Big Data, Mining Big Data, Big Data Challenges, Big Data Research Directions in U.A.E..

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Engineering ; Data Mining ; Databases and Data Security ; Databases and Information Systems Integration ; Enterprise Information Systems ; Large Scale Databases ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: Nowadays, the daily amount of generated data is measured in exabytes. Such huge data is now referred to as Big Data. Big data mining leads to the discovery of the useful information from huge data repositories. However, this huge amount of data hinders existing data mining tools and thus creates new research challenges that open the door for new research opportunities. In this paper, we provide an overview of the research challenges and opportunities of big data mining. We present the technologies and platforms that are required for mining big data. A number of applications that can benefit from mining big data are also discussed. We discuss the status of big data mining, current efforts and future research directions in the UAE.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.144.40.216

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Al Aghbari, Z. (2015). Mining Big Data - Challenges and Opportunities. In Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-096-3; ISSN 2184-4992, SciTePress, pages 379-384. DOI: 10.5220/0005463803790384

@conference{iceis15,
author={Zaher {Al Aghbari}.},
title={Mining Big Data - Challenges and Opportunities},
booktitle={Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2015},
pages={379-384},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005463803790384},
isbn={978-989-758-096-3},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Mining Big Data - Challenges and Opportunities
SN - 978-989-758-096-3
IS - 2184-4992
AU - Al Aghbari, Z.
PY - 2015
SP - 379
EP - 384
DO - 10.5220/0005463803790384
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic