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Practical Data Mining with AI for Social Scientists: Springer Texts in Social Sciences

Autor Andrei P. Kirilenko
en Limba Engleză Paperback – 10 ian 2026
mso-bidi-language: AR-SA;">This book is designed as a foundational textbook for upper-level undergraduate and graduate students from non-technical fields who want to acquire a basic understanding of data science and learn practical skills in data analysis.
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Specificații

ISBN-13: 9783031896880
ISBN-10: 3031896882
Pagini: 536
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.9 kg
Editura: Springer
Colecția Springer Texts in Social Sciences
Seria Springer Texts in Social Sciences


Notă biografică

Andrei Kirilenko has a degree in applied mathematics and a Ph.D. in computer science. He started his career developing computer models for evaluating climate change impacts on the natural environment and agriculture. Gradually, his teaching and research interests have shifted toward quantitative social science research. Since 2015, he has held the position of Associate Professor at the Department of Tourism, Hospitality, and Event Management at the University of Florida, USA, teaching courses on data mining for social sciences, Geographical Information Systems, statistics, and research methods. His research is centered on social media analysis, sustainability, and biodiversity. Dr. Kirilenko has served as an expert in the global assessments of the Intergovernmental Panel on Climate Change (IPCC) and the United Nations Environmental Program (UNEP) Global Environmental Assessments.