Nowadays, big data is an emerging area of computer science. Data are generated through
different sources such as social media, e-commerce, blogs, banking, healthcare …

Big data classification is a challenging assignment for the knowledge processing of relevant
information in various domains. Many advanced machine learning (ML) and metaheuristic …

Background Machine learning is a branch of Artificial Intelligence that is concerned with the
design and development of algorithms, and it enables today's computers to have the …

Over the last few years, Big Data has gained a tremendous attention from the research
community. The data being generated in huge quantity from almost every field is …

Classification is an important task of machine learning for solving a wide range of problems
in conforming patterns. In the literature, machine learning algorithms dealing with non …

Incorporating climate impact into pavement distress initiation and propagating modeling and
management, suffers from the extent of weather data available, and ability to process into a …

In several fields like financial dealing, industry, business, medicine, et cetera, Big Data (BD)
has been utilized extensively, which is nothing but a collection of a huge amount of data …

The article discusses the technology of processing data arrays in Data Fabric using the QML
language, which is a powerful open source data management tool. Data is an integral …

This chapter covers concepts of big data analytics in general, including definitions,
categories, and use case overview. Processes and requirements for remote sensing big …

Introduction: Landslide is one of the most widespread geohazards around the world.
Therefore, it is necessary and meaningful to map regional landslide susceptibility for …