scholarly journals Educational big data: extracting meaning from data for smart education

2020 ◽  
Vol 28 (2) ◽  
pp. 142-147 ◽  
Author(s):  
Nian-Shing Chen ◽  
Chengjiu Yin ◽  
Pedro Isaias ◽  
Joseph Psotka
2021 ◽  
Author(s):  
Hifza Qureshi ◽  
Anil Kumar Sagar ◽  
Rani Astya ◽  
Gulshan Shrivastava

2019 ◽  
Vol 4 (1) ◽  
pp. 1-13
Author(s):  
Candra Kurniawan

Topic about big data analytics have received a lot of attention and interest at this time. There are many topics can be discussed related to the analytical model, tools, and technology used. Big data analytics model involves many processes with various technologies used. Skills in handling big data, extracting mining, and developing insight are needed in applying big data analytics. Suitable analytical hardware and software also needed in decision making. Big data analytics is a key to a business strategy, but only a small portion of big data is currently used to support their business strategy. Big data analitycs can answer many questions about how to manage costs, time, and development or optimization strategies, and other decision making choices. However, there are many challenges in big data analytics technology. This survey paper addresses topics related to the analytical model, tools, and technology used. This paper also discusses the application of big data analytics in various fields.


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Hui Xiao ◽  
Sikandar Ali ◽  
Zhen Zhang ◽  
Muhammad Shahzad Sarfraz ◽  
Fang Zhang ◽  
...  

Healthcare system facilitates the treatment of patients with the support of wearable, smart, and handheld devices, as well as many other devices. These devices are producing a huge bulk of data that need to be moulded for extracting meaningful insights from them for the useful use of researchers and practitioners. Various approaches, methods, and tools are in use for doing so and to extract meaningful information in the field of healthcare. This information is being used as evidence to further analyze the data for the early care of patient and to devise treatment. Early care and treatment can facilitate healthcare and the treatment of the patient and can have immense potentiality of dropping the care cost and quality refining of care and can decrease waste and chances of error. To facilitate healthcare in general and cardiology in specific, the proposed study presents an overview of the available literature associated with big data, its insights, and analytics. The presented report will help practitioners and researchers to devise new solutions for early care in healthcare and in cardiology.


Author(s):  
Ayesha Naureen ◽  
Anil Badarla ◽  
Ahmed A. Elngar
Keyword(s):  
Big Data ◽  

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