Design Principles for Effective Knowledge Discovery from Big Data

Begoli, Edmon; Horey, James

doi:10.1109/wicsa-ecsa.212.32

Cited by 118 publications

(66 citation statements)

References 5 publications

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“…The data size and format is a major factor for deciding the architectural components for storing data in the system. Doing so can avoid making decisions on a non-relational model for its scalability when the size of data does not warrant a need (Begoli, 2012).…”

Section: Related Workmentioning

confidence: 99%

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State of Big Data Analysis in the Cloud

Ahuja¹,

Moore²

2013

NCT

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Big Data is data that either is too large, grows too fast, or does not fit into traditional architectures. Within such data can be valuable information that can be discovered through data analysis. With the emergence of cloud computing services, big data processing has become a less costly task. In this paper, we examine the current trends and characteristics of Big Data, its analysis and how these are presenting challenges in data collection, storage and management in cloud computing.

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Section: Related Workmentioning

confidence: 99%

“…Knowledge discovery is a method where new knowledge is derived from a data set. More accurately, knowledge discovery is a process where different practices of managing and analyzing data are used to extract this new knowledge (Begoli, 2012).…”

Section: Big Data Analysismentioning

confidence: 99%

State of Big Data Analysis in the Cloud

Ahuja¹,

Moore²

2013

NCT

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“…ORNL in its paper titled "Design Principles for Effective Knowledge Discovery from Big Data" has given three design principles [2]. These principles focus on special architectural requirements that an organization must look upon for Big Data Analytics.…”

Section: Introductionmentioning

confidence: 99%

New Design Principles for Effective Knowledge Discovery from Big Data

Gosain¹,

Chugh²

2014

IJCA

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Big data is creating hype in IT industry. Knowledge discovery from big data can allow organizations to have deeper insights, look at the bigger picture and project big returns. There are various principles that have been presented for knowledge discovery from big data by ORNL (Oak Ridge National University), USA. These are: (i) support a variety of analysis methods, (ii) one size doesn't fit all, (iii) make data accessible. However timeliness and security still pose great challenges in the knowledge discovery process. Timely analysis of big data is essential because data is being produced at a very high velocity. Security of big data is difficult to ensure since big data solutions were not developed with security in mind. In this paper, we give a view of various big data dimensions and present two new principles based on security and timely analysis for knowledge discovery from big data.

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“…In this view, big data in the way that can be seen with a distinct look especially in the learning and teaching process has the characteristic on processing to facilitate in transferring the content of the learning sources which the learners look for [27]. It aims at improving the learning experience by enabling the learners to freely access such information resources.…”

mentioning

confidence: 99%

“…With regard to creating flexibility in learning, the implementation of teaching and learning strategies and new approaches becomes important elements to underlie the learning outcomes. Flexible learning here is considered in accessing education implemented in the responsive way eventually with delivering online learning [27]. Empowerment supported by place, pace and mode of delivery system of learning in big data approach would lead to create flexibility in learning, since the learning resources can be provided by the software platform [31].…”

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confidence: 99%

Understanding Modern Learning Environment (MLE) in Big Data Era

Huda¹,

Maseleno²,

Teh³

et al. 2018

Int. J. Emerg. Technol. Learn.

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Abstract-as an attempt to understand Modern Learning Environment (MLE) to support learning in big data era, its exploration where the students are engaged to access online resources using their mobile devices, laptop and other digital devices needs to understand MLE as the term integrated between digital technology tools and learning skills. The convenient facilitation has a whole section designed to support learning styles which can exactly create the learning environment to be modern. This paper aims to explore innovative design for MLE with big data approach to see the chance in applying this model for the construction to the design of big data based learning environments to facilitate online learning towards information and knowledge in higher education setting. The finding reveals to propose model reference to be implemented to improve student learning outcomes in a technology-rich teaching and learning environment in higher education. As a result, this paper is expected to contribute in the support with an initiative in the learning performance.

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Design Principles for Effective Knowledge Discovery from Big Data

Cited by 118 publications

References 5 publications

State of Big Data Analysis in the Cloud

State of Big Data Analysis in the Cloud

New Design Principles for Effective Knowledge Discovery from Big Data

Understanding Modern Learning Environment (MLE) in Big Data Era

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