TY - CHAP A1 - Oksana Arnold A2 - Klaus P. Jantke ED1 - Ciza Thomas Y1 - 2018-08-22 PY - 2018 T1 - Mining HCI Data for Theory of Mind Induction N2 - This book on data mining explores a broad set of ideas and presents some of the state-of-the-art research in this field. The book is triggered by pervasive applications that retrieve knowledge from real-world big data. Data mining finds applications in the entire spectrum of science and technology including basic sciences to life sciences and medicine, to social, economic, and cognitive sciences, to engineering and computers. The chapters discuss various applications and research frontiers in data mining with algorithms and implementation details for use in real-world. This can be through characterization, classification, discrimination, anomaly detection, association, clustering, trend or evolution prediction, etc. The intended audience of this book will mainly consist of researchers, research students, practitioners, data analysts, and business professionals who seek information on the various data mining techniques and their applications. BT - Data Mining SP - Ch. 4 UR - https://doi.org/10.5772/intechopen.74400 DO - 10.5772/intechopen.74400 SN - 978-1-78923-597-5 PB - IntechOpen CY - Rijeka Y2 - 2020-12-03 ER -