Healthcare analytics, AI solutions for biological big data, providing an AI platform for the biotech, life sciences, medical and pharmaceutical industries, as well as for related technological approaches, i.e., curation and text analysis with machine learning and other activities related to AI ...
Bibliometric analysisBig data analytics (BDA), as a new innovation tool, played an important role in helping businesses to survive and thrive during great crises and mega disruptions like COVID-19 by transitioning to and scaling e-commerce. Accordingly, the main purpose of the current research ...
Big educational data & analytics: survey, architecture and challenges. IEEE Access. 2020;8:116392–414. Google Scholar Cantabella M, Martínez-España R, Ayuso B, Yáñez J, Muñoz A. Analysis of student behavior in learning management systems through a big data framework. Fut Gen Comput...
which can be partly attributed to the multi-user characteristics of big data environments. Adversaries may link data to external resources, try to access confidential data, or deduce private information from the large number of data pieces
Big data analysis is performed by many approaches, such as databases, web crawlers, analysis, data warehouses, big data mining, and visualization algorithms. Among others, web crawlers are a widespread analysis technology2. They could extract text data/numerical values from a webpage and set up...
big-data video analysismutual informationThe exponential growth of video data produced by surveillance cameras, cell phones and movie post-production creates the need to process big-data using methods that are able to produce instantaneous result. Video summarization can be accomplished and represented ...
The null hypothesis will be rejected if the sample proportion is too big or if it is too small. Formulate an analysis plan. For this analysis, the significance level is 0.05. The test method, shown in the next section, is a one-sample z-test. Analyze sample data. Using sample data, ...
Structured data is the highest form of Big data and this is the form that holds all the deliberately organized information in easily understandable manners. Every parameter in this form of Big data would already be already identified, so only a bit of Big data analysis would be required before...
Despite this interest, scant studies have applied big data analytics approach. In addition, several studies have failed to demonstrate significant advantages of domain knowledge in every step of data analysis workflow. The term “domain knowledge” means the domain-specific expertise of the field and...
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