top of page

Machine Learning in Healthcare

Bauder and Khoshgoftaar (2018) presented a machine learning based framework to detect fraud in medical claims filed in US. Publicly...

NoSQL for Health Informatics Data Analytics

Health care information system usually consists of patient’s data related to clinical and medical activities (Yu, Kollipara, Penmetsa &...

Big Data Analytics Framework

Sowmya and Sravanthi (2017) define big data as the one which is huge and cannot be efficiently processed using traditional data...

Cloud Computing in Healthcare

Cloud computing in health care industry is propelled by requirements to cut operational cost and improve the quality of care (Raza,...

Data Audit for Health Informatics

Yeagley (2015) defines audits as periodic validation of the IT security implementation of an enterprise by a certification authority....

Data in Motion

Big data analysis can be applied to gain useful insights from data in-rest as well as data in-motion (INAP, 2019). Data in-rest is...

Data broker in Healthcare

Leetaru (2018) outlined that even if someone is not using social media but their mere use of pharmacy for a refill result in sharing...

Big Data Framework

Network Architecture On a high level, a framework of big data based analytical network architecture will be consisted of input data,...

Performance Issues of data generated by IoT

Atzori, Antonio and Morabito (2010) highlighted some of the high level issues related to the Internet of Things (IoT), which include...

Web 1.0

Miranda, Isaias and Costa (2014) define Web 1.0 as a content delivery platform where content was static and websites were mostly based on...

Mapreduce weakness in iterative computation

Amongst some key limitations of MapReduce is that it serves well for tasks requiring batch processing but not suitable for real-time...

MapReduce and Hadoop

The basic architecture of MapReduce offer simple and powerful programming model on large clusters of commodity machines for scalable...

Scalable Stochastic Model

Cloud computing is currently a forerunner technology amongst other information and computing technologies, powered by attributes like,...

Resource Description Framework in MapReduce

Web 3.0 After web 2.0, new generation of web was evolved with read, write and an additional execution capability (Choudhury, 2014). Web...

Security Issues with Coud

UbaidullahBokhari, Shallal and Tamandani (2016) mentioned some of the key security issues faced by cloud as data traffic hijacking,...

Security Issues with Big Data

Joshi and Kadhiwala (2017) highlighted couple of security issues which are inherently related to big data during data transition and data...

Realtime Stream Processing

In general, there are certain requirements for stream processing like, keep the data moving, handle stream imperfections, guaranteed...

NoSQL

Varying implementation of cloud computing applications, web and enterprise requiring different database features, which are not usually...

MapReduce

MapReduce is an efficient yet simple framework of programming model (Yan, Yang, Yu, Li & Li, 2012). The framework divide the job into...

Blog: Blog2
bottom of page