Driven by innovations such as mass customisation, complex supply chains, smart cities and emerging cyber-physical and Internet of Things systems, Big Data is presenting a fascinating range of challenges to Analytics. New fields are emerging such as Big Data Analytics and Data Science. Modeling & Simulation (M&S) is core to Analytics. Arguably, contemporary M&S practices cannot deal with the dem...

Umeshwar Dayal, PhD Masaharu Akatsu, PhD Chetan Gupta, PhD Ravigopal Vennelakanti Massimiliano Lenardi, PhD OVERVIEW: Through the proliferation of sensors, smart machines, and instrumentation, industrial operations are generating ever increasing volumes of data of many different types. At the same time, advances in computing, storage, communications, and big data technologies are making it poss...

Fueled by increasing data availability and the rise of technological advances for processing communication, business analytics is a key driver smart manufacturing. However, due to multitude different local as well its multidisciplinary complexity, both researchers practitioners struggle keep track progress acquire new knowledge within field, there lack holistic conceptualization. To address thi...

In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data over time for a wide range of fields and applications. Based on the nature of the application, these devices will result in big or fast/real-time data streams. Applying analytics over such data streams to discover new information, predict future insights, and make contr...

in the last chapter of his posterior analytics, aristotle raises two questions about the archai of knowledge (epistêmê) that are to be answered by nous, the key concept which must be illustrated itself before getting the answers. while in both of these answers, as in some other passages, nous is introduced as the hexis of the soul, it is the second answer where nous is considered as one of the ...

The Los Angeles Smart Grid Project aims to use informatics techniques to bring about a quantum leap in the way demand response load optimization is performed in utilities. Semantic information integration, from sources as diverse as Internet-connected smart meters and social networks, is a linchpin to support the advanced analytics and mining algorithms required for this. In association with it...