Rajeev Rajaram is a Professor of Mathematics at Kent State University. Rajeev’s primary training is in control theory of partial differential equations and he is currently interested in applications of differential equations and ideas from statistical mechanics and thermodynamics to model and measure complexity.  He and Brian Castellani have worked together to create a new case - based method for modeling complex systems, called the SACS Toolkit, which has been used to study topics in health, health care, societal infrastructures, power - grid reliability, restaurant mobility, and depression trajectories.  More recently, he is interested in mathematical properties of entropy based diversity measures for probability distributions.
Télécharger le livre :  Big Data Mining and Complexity

This book offers a much needed critical introduction to data mining and ‘big data’. Supported by multiple case studies and examples, the authors provide: Digestible overviews of key terms and concepts relevant to using social media data in quantitative research. ...
Editeur : SAGE Publications Ltd
Parution : 2022-03-01
Collection : The SAGE Quantitative Research Kit
Format(s) : PDF, ePub
33,24

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