This book provides a detailed description of the entire study process concerning gathering and analysing big data and making observations to develop a crime-prediction model that utilizes its findings. It offers an in-depth discussion of several processes, including text mining, which extracts useful information from online documents; opinion mining, which analyses the emotions contained in documents; machine learning for crime prediction; and visualization analysis. To accurately predict crimes using machine learning, it is necessary to procure high-quality training data. Machine learning combined with high-quality data can be used to develop excellent crime-prediction artificial intelligences.As such, the book will serve to be a practical guide to anyone wishing to predict rapidly-changing social phenomena and draw creative conclusions using big-data analysis.
Dr Juyoung Song is an Assistant Professor of Criminal Justice and Criminology at Pennsylvania State University-Schuylkill, USA. She earned her Bachelor's and Master's degrees from the College of Law at Hanyang University, South Korea, and then obtained her doctorate degree in Criminal Justice from Michigan State University, USA. She has published several articles on cyberbullying, underage prostitution, and juvenile delinquency in the International Journal of Offender Therapy, Comparative Criminology, and Journal of Criminal Justice, and has published five books about big data analysis in Korean. Dr Tae Min Song is a Professor in the Department of Health Management at Sahmyook University, South Korea, and is a Visiting Research Fellow at the Big Data Research Center of the Korean Institute for Health and Social Affairs, where he worked as a data scientist and policy maker for 36 years. He holds a PhD in Computer Science, and has authored numerous journal articles in Computers in Human Behavior, Journal of Adolescence Heath, and various other journals. He has also published five books related to big data analysis in Korean.This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2016S1A5A2A03925702).
