Mining Big Data - Challenges and Opportunities

Zaher Al Aghbari

Research.Publish.Connect.

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Mining Big Data - Challenges and Opportunities

Topics: Data Mining; Large Scale Databases

In Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS, 379-384, 2015 , Barcelona, Spain

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

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.219.22.169

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