Quality Assurance Technologies of Big Data Applications: A Systematic Literature Review

A Systematic Review of Data Mining Applications in Digital Libraries

Purpose: Study aimed to identify the applications of data mining in the provision of services, collection and management of digital libraries. Methodology: This is an applied study in terms of purpose and in terms of method is qualitative research that have been done by systematic review method. For this purpose, articles have been obtained by searching databases of Springer, Emerald, ProQuest,...

Book Review: Big Data Management, Technologies, and Applications

well. With the continuous increase of digital data, which is creating in the process of medical services and health management, big data management and analysis is becoming important. Researchers in medical services and health management enclosed within the statistical methods strictly. For example, requirement of randomness and size of sample were limited in the association studies. Big data a...

Data Quality: A Systematic Review of the Biosurveillance Literature

Introduction Data quality monitoring is necessary for accurate disease surveillance. However it can be challenging, especially when “real-time” data are required. Data quality has been broadly defined as the degree to which data are suitable for use by data consumers [1]. When compromised at any point in a health information system, data of low quality can impair the detection of data anomalies...

Big Data Technology Literature Review

Storing and manipulating Big Data relies on various data structures, algorithms and technologies. Some of these are new, while others have existed for quite a while (the Bloom filter was presented in 1970) and are now making their way into mainstream software engineering. We present those algorithms and technologies briefly, and provide citations for further reading. This paper is organized as ...

Quality Assurance in Higher Education: A Literature Review