TY  - CHAP
AU  - Abdullah Emre Keleş
AU  - Mümine Kaya Keleş
ED  - Ciza Thomas
Y1  - 2018-04-06
PY  - 2018
T1  - Determination and Classification of Crew Productivity with Data Mining Methods
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. 3
UR  - https://doi.org/10.5772/intechopen.75504
DO  - 10.5772/intechopen.75504
SN  - 978-1-78923-597-5
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-25
ER  -