Mahmood, Khalid and Rahmah, Mokhtar and Raza, Muhammad Ahsan and Raza, Binish (2020) Recent Advances in Big Data: Features, Classification, Analytics, Research Challenges, and Future Trends. International Journal of Computer Science and Network Security, 20 (4). pp. 139-150. ISSN 1738-7906. (Published)
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Abstract
Dealing with big data at present involves several procedures, including storage, processing, indexing, integration, and governance; thus, it poses a major challenge to application developers and research scientists. The challenge increases when accurate results must be obtained for queries in decision-making and cognitive applications regarding various disciplines and industries. A variety of literature on big data is available. However, big data must still be understood through various aspects, such as features, classification, analytics, research challenges, and future trends. This study provides a deep understanding of big data features, classification, and manipulation. An improved understanding of big data analytics and recent research challenges is also provided. Additionally, future trends are discussed for researchers. In conclusion, a vision to wisely and accurately improve information retrieval or search is presented to make better decisions using big data.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Big Data, Big Data Classification, Big Data Challenges, Big Data Analytics, Semantic Search, Information Retrieval |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Faculty of Computer System And Software Engineering Institute of Postgraduate Studies |
| Depositing User: | Dr. Rahmah Mokhtar |
| Date Deposited: | 11 Jun 2020 03:35 |
| Last Modified: | 11 Jun 2020 03:35 |
| URI: | http://umpir.ump.edu.my/id/eprint/28404 |
| Download Statistic: | View Download Statistics |
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