Distributed mimicry: Big Data and Predictive Analytics

Big Data Analytics and Now-casting: A Comprehensive Model for Eventuality of Forecasting and Predictive Policies of Policy-making Institutions

The ability of now-casting and eventuality is the most crucial and vital achievement of big data analytics in the area of policy-making. To recognize the trends and to render a real image of the current condition and alarming immediate indicators, the significance and the specific positions of big data in policy-making are undeniable. Moreover, the requirement for policy-making institutions to ...

An Algebra for Distributed Big Data Analytics

We present an algebra for data-intensive scalable computing based on monoid homomorphisms that consists of a small set of operations that capture most features supported by current domain-specific languages for data-centric distributed computing. This algebra is being used as the formal basis of MRQL, which is a query processing and optimization system for large-scale distributed data analysis....

Distributed Processing for Big Data Video Analytics

Distributed Programming Models for Big Data Analytics

The term “Big Data” has seen an explosion in interest in recent years. The major reasons for this attention are: extremely large volumes of data are being generated every second from varied sources such as the Internet, social media, mobile devices, sensors, and so on; cheap memory storage to store large data is abundantly available; and there is a sharp rise in computation capacity (Bell, Gray...

A Fuzzy TOPSIS Approach for Big Data Analytics Platform Selection

Big data sizes are constantly increasing. Big data analytics is where advanced analytic techniques are applied on big data sets. Analytics based on large data samples reveals and leverages business change. The popularity of big data analytics platforms, which are often available as open-source, has not remained unnoticed by big companies. Google uses MapReduce for PageRank and inverted indexes....