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Keyword: Big Data Analytics
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Open AccessArticle
7 Pages, 824 KB Download PDF

Using Big Data Analytics to Predict Learner Attrition based on First Year Marks at a South African University

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 5, Page # 920–926, 2020; DOI: 10.25046/aj0505112
Abstract:

Due to high failure rates many students end up spending unnecessary years struggling to qualify and subsequently accumulate unnecessary debt. In this paper, our principal contribution is to provide an expert system that statistically predicts the success of a first year student in an undergraduate Science programme given only academic merit in their subject matter.…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
5 Pages, 673 KB Download PDF

Big Data Analytics Using Deep LSTM Networks: A Case Study for Weather Prediction

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 2, Page # 133–137, 2020; DOI: 10.25046/aj050217
Abstract:

Recurrent Neural Networks has been widely used by researchers in the domain of weather prediction. Weather Prediction is forecasting the atmosphere for the future. In this proposed paper, Deep LSTM networks has been implemented which is the variant of RNNs having additional memory block and gates making them capable of remembering long term dependencies. Fifteen…

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(This article belongs to the SP8 (Special Issue on Multidisciplinary Sciences and Engineering 2019-20) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
8 Pages, 716 KB Download PDF

Big Data Analytics for Healthcare Organization: A Study of BDA Process, Benefits and Challenges of BDA

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 4, Page # 189–196, 2017; DOI: 10.25046/aj020425
Abstract:

Day by day, data grows exponentially large using advanced technology and it requires effective analytical techniques to analyze the unknown and useful facts, patterns, associations and new trends which will provide new way for giving treatment to diseases and to provide good quality healthcare at low cost for everyone. This paper describes uncover valuable insights,…

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(This article belongs to Section Cybernetics in Computer Science (CCY))
Open AccessArticle
19 Pages, 1,833 KB Download PDF

Operational Efficiencies and Simulated Performance of Big Data Analytics Platform over Billions of Patient Records of a Hospital System

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 1, Page # 23–41, 2017; DOI: 10.25046/aj020104
Abstract:

Big Data Analytics (BDA) is important to utilize data from hospital systems to reduce healthcare costs. BDA enable queries of large volumes of patient data in an interactively dynamic way for healthcare. The study objective was high performance establishment of interactive BDA platform of hospital system. A Hadoop/MapReduce framework was established at University of Victoria…

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(This article belongs to the SP2 (Special Issue on Computer Systems, Information Technology, Electrical and Electronics Engineering 2017) & Section Applied Mathematics (MAP))
Open AccessArticle
11 Pages, 1,049 KB Download PDF

High-Performance Computing: A Cost Effective and Energy Efficient Approach

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 1598–1608, 2020; DOI: 10.25046/aj0506191
Abstract:

The world is witnessing unprecedented advancements in ICT (Information & Communication Technology) related fields. These advancements are further boosted with the emergence of big data. It goes without saying that big data requires two major operations: storage and processing. The latter is usually provided through High-Performance Computing (HPC) which is delivered through two main venues:…

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(This article belongs to Section Information Systems in Computer Science (CIS))

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