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Big data trend: knowledge discovery on the unstructured data


Abu Muntalib, Shamsiah and Sidi, Fatimah and A. Jabar, Marzanah and Ishak, Iskandar (2014) Big data trend: knowledge discovery on the unstructured data. In: Knowledge Management International Conference 2014 (KMICe 2014), 12-15 Aug. 2014, Langkawi, Kedah. (pp. 338-342).

Abstract / Synopsis

Knowledge may be discovered from various sources of information. Knowledge Discovery in Database (KDD) is the process of discovering valuable knowledge from data collection. Data warehousing and traditional data processing and analysis of structured data via Relational Database Management System (RDBMS) is accessibility towards standard IT technologies and unsatisfied the challenges of big data. The current biggest challenge is a matter of turning big data into Knowledge Discovery insight that enable organizations to facilitate effective decision making. The purpose of this paper is to explore the knowledge discovery and the challenges in big data real-time setting. A technique of knowledge discovery in real-time insight will be proposed in order to extract valuable knowledge.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
Keywords: Knowledge discovery; Real-time; Insight; Knowledge discovery real-time insight
Depositing User: Nabilah Mustapa
Date Deposited: 04 Jul 2018 10:33
Last Modified: 04 Jul 2018 10:33
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