Smart cities use digital technologies such as cloud computing, Internet of Things, or open
data in order to overcome limitations of traditional representation and exchange of …

Big data is considered a hotspot, as all organizations realize the importance of their big data
to gain insights that help organizations develop and understand consumer requirements …

Big data analytics (BDA) and strategies for implementing BDA have received attention
among researchers and practitioners alike. However, success stories pertaining to the …

Big Data: Present and Future Page 1 The term big data was first referenced in 1997 in an
article by Michael Cox and David Ellsworth in the ACM digital library. The article discusses the …

In this paper we continue the minitrack series of papers recognizing issues and challenges
identified in the field of Big Data and Analytics, from the past and going forward. As this field …

Abstract The amount of Big Data generated from multiple sources is continuously increasing.
Traditional storage methods lack the capacity for such massive amounts of data …

We are living in the era of Big Data. Nowadays, a huge volume of data that is complex too, is
being generated from a variety of sources like Social Media, mobile phones, sensor …

Big data and machine learning result in agile and robust healthcare by expanding raw data
into useful patterns for data-enhanced decision support. The available datasets are mostly …

Property marketing in Nigeria has frequently been characterised by unique challenges due
to inadequate and unreliable data. In recent times, big data has presented a wide range of …

This work introduces a Machine Learning (ML) model designed to predict solar radiation in
diverse cities representing Colombia's climatic variability. It is crucial to assert that the …