TY  - CHAP
AU  - Oguz Celik
AU  - Muruvvet Hasanbasoglu
AU  - Mehmet S. Aktas
AU  - Oya Kalipsiz
ED  - Derya Birant
Y1  - 2020-05-28
PY  - 2020
T1  - Association Rule Mining on Big Data Sets
N2  - Data mining is a branch of computer science that is used to automatically extract meaningful, useful knowledge and previously unknown, hidden, interesting patterns from a large amount of data to support the decision-making process. This book presents recent theoretical and practical advances in the field of data mining. It discusses a number of data mining methods, including classification, clustering, and association rule mining. This book brings together many different successful data mining studies in various areas such as health, banking, education, software engineering, animal science, and the environment.
BT  - Data Mining
SP  - Ch. 3
UR  - https://doi.org/10.5772/intechopen.91478
DO  - 10.5772/intechopen.91478
SN  - 978-1-83968-319-0
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-19
ER  -