With more and more data generated, it has become a big challenge for traditional
architectures and infrastructures to process large amounts of data within an acceptable time …

Business process management (BPM) is a well-known holistic discipline used widely in
practice for managing business processes and achieving better organizational performance …

Intelligence is the ability to learn from experience and use domain experts' knowledge to
adapt to new situations. In this context, an intelligent Recommender System should be able …

Process event data is usually stored either in a sequential process event log or in a
relational database. While the sequential, single-dimensional nature of event logs aids …

With Data Science continuing to emerge as a powerful differentiator across industries,
organisations are now focused on transforming their data into actionable insights. This task …

Level of Trust can determine which source of information is reliable and with whom we
should share or from whom we should accept information. There are several applications for …

Social data analytics have become a vital asset for organizations and governments. For
example, over the last few years, governments started to extract knowledge and derive …

Enabling the analysis of behavioral disorders over time in social networks, can help in
suicide prevention,(school) bullying detection and extremist/criminal activity prediction. In …

The continuous improvement in connectivity, storage and data processing capabilities allow
access to a data deluge from the big data generated on open, private, social and IoT …

This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …