With the unprecedented development of big data and artificial intelligence, data intelligence
has emerged as a focal point in both academia and industry. It features in a set of predictive …

This chapter outlines the key principles of machine learning and predictive analytics. It
explains the new fundamentals of big data and the evolving technology. The chapter follows …

In the era of the fourth industrial revolution (Industry 4.0), big data has major impact on
businesses, since the revolution of networks, platforms, people and digital technology have …

Predictive analytics is a driving force motivating considerable interest in big data. Although
there is clear interest in big data, the adoption rate of analytical techniques fuelled by big …

The development of data science is valuable to clarify the theoretical boundary of data
science, and provides new possibilities and opportunities for the sustainable development of …

Big data generated in different domains and industries are voluminous and the velocity at
which they are generated is pretty high. While research works carried out continuously to …

数据科学的发展, 将为计算智能的持续发展提供新的可能与机遇; 与此同时,
计算智能的发展与新型智能范式的兴起, 也将为大数据在各行业和各领域的应用提供新的契机 …

This volume comprises six well-versed contributed chapters devoted to report the latest fi
ndings on the applications of machine learning for big data analytics. Big data is a term for …

The twenty-first century is characterized by the digital revolution, and this revolution is
disrupting the way business decisions are made in every industry, be it healthcare, life …

Over the past few decades, with the development of automatic identification, data capture
and storage technologies, people generate data much faster and collect data much bigger …