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 …

With the advent of Internet of Things (IoT) and Web 2.0 technologies, there has been a
tremendous growth in the amount of data generated. This chapter emphasizes on the need …

A big data analytics-enabled transformation model based on practice-based view is
developed, which reveals the causal relationships among big data analytics capabilities, IT …

Although big data analytics have tremendous benefits for healthcare organizations, extant
research has paid insufficient attention to the exploration of its business value. In order to …

A revelatory exploration of the hottest trend in technology and the dramatic impact it will
have on the economy, science, and society at large. Which paint color is most likely to tell …

Federal investment in health information technology has incentivized the adoption of
electronic health record systems by physicians and health care organizations; the result has …

Event processing (EP) is a data processing technology that conducts online processing of
event information. In this survey, we summarize the latest cutting-edge work done on EP …

Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from
machine learning, random forest classifiers, predictive modeling, cluster analysis, natural …

Healthcare cognitive assistants (HCAs) are intelligent systems or agents that interact with
users in a context-aware and adaptive manner to improve their health outcomes by …

Supplying a comprehensive overview of healthcare analytics research, Healthcare Data
Analytics provides an understanding of the analytical techniques currently available to solve …