Big data stream analysis: a systematic literature review

T Kolajo, O Daramola, A Adebiyi - Journal of Big Data, 2019 - Springer
Recently, big data streams have become ubiquitous due to the fact that a number of
applications generate a huge amount of data at a great velocity. This made it difficult for …

Multimedia big data analytics: A survey

S Pouyanfar, Y Yang, SC Chen, ML Shyu… - ACM computing surveys …, 2018 - dl.acm.org
With the proliferation of online services and mobile technologies, the world has stepped into
a multimedia big data era. A vast amount of research work has been done in the multimedia …

Internet of things, real-time decision making, and artificial intelligence

JM Tien - Annals of Data Science, 2017 - Springer
In several earlier papers, the author defined and detailed the concept of a servgood, which
can be thought of as a physical good or product enveloped by a services-oriented layer that …

A big data-as-a-service framework: State-of-the-art and perspectives

X Wang, LT Yang, H Liu… - IEEE Transactions on Big …, 2017 - ieeexplore.ieee.org
Due to the rapid advances of information technologies, Big Data, recognized with 4Vs
characteristics (volume, variety, veracity, and velocity), bring significant benefits as well as …

[PDF][PDF] A review paper on big data and hadoop

HS Bhosale, DP Gadekar - International Journal of Scientific and …, 2014 - Citeseer
The term 'Big Data'describes innovative techniques and technologies to capture, store,
distribute, manage and analyze petabyte-or larger-sized datasets with high-velocity and …

[PDF][PDF] Issues, challenges, and solutions: big data mining

KU Jaseena, JM David - CS & IT-CSCP, 2014 - csitcp.com
Data has become an indispensable part of every economy, industry, organization, business
function and individual. Big Data is a term used to identify the datasets that whose size is …

[HTML][HTML] A dynamic prime number based efficient security mechanism for big sensing data streams

D Puthal, S Nepal, R Ranjan, J Chen - Journal of Computer and System …, 2017 - Elsevier
Big data streaming has become an important paradigm for real-time processing of massive
continuous data flows in large scale sensing networks. While dealing with big sensing data …

[HTML][HTML] On a certain research gap in big data mining for customer insights

M Mach-Król, B Hadasik - Applied Sciences, 2021 - mdpi.com
The main purpose of this paper is to provide a theoretically grounded discussion on big data
mining for customer insights, as well as to identify and describe a research gap due to the …

Measuring the big data readiness of develo** countries–index development and its application to Africa

A Joubert, M Murawski, M Bick - Information Systems Frontiers, 2023 - Springer
The use of big data promises to drive economic growth and development and can therefore
be a value-adding factor, but compared to private or public organisations, the country level is …

DLSeF: A dynamic key-length-based efficient real-time security verification model for big data stream

D Puthal, S Nepal, R Ranjan, J Chen - ACM Transactions on Embedded …, 2016 - dl.acm.org
Applications in risk-critical domains such as emergency management and industrial control
systems need near-real-time stream data processing in large-scale sensing networks. The …