His work has relied on a variety of analytical methods (network analysis, agent-based models, big-data analytics) applied in a variety of contexts including the television game-show industry, professional videogaming (e-Sports) and mobile healthcare in Africa.
Big data analytics research applies machine learning, data mining, statistics, and visualization techniques in order to collect, process, analyze, visualize, and interpret results [1].
Big Data, characterized by large volumes, high processing speed, and wide variety of datasets [1 3], have been shown to be very valuable in health care research, with Health Informatics being the field in which big data analytics have been extensively applied [4].
Big data analytics has been recently applied towards aiding the process of care delivery and disease exploration.
Olivier Elemento applies big data analytics and high-performance computing to cancer prevention, diagnostics, treatment, and cure.
Understand how to apply big data analytics to identify, evaluate, and resolve a variety of challenges and issues relating to their workforce.
The process, in brief, looks like this: Applying big data analytics to detailed customer-data sets, we first identify the emotional motivators for a category's most valuable customers.
In this paper, we discuss the importance of big data analytics and computational intelligence techniques applied to data produced from the myriad of pervasively connected machines and personalized devices offering embedded and distributed information processing capabilities.
Rolls Royce's success in applying Big Data analytics has influenced the aircraft engine-manufacturing sector.
Applying big data analytics to these treasure troves of information is helping the agencies provide better matches for their customers.
