Advances in Data Mining Knowledge : Discovery and Applications
Fadzilah, siraj
Advances in Data Mining Knowledge : Discovery and Applications - New York : New Rochelle, 2016. - 248 p
"Data mining refers to the computational process of discovering patterns in big data sets. Data mining is an interdisciplinary subfield of computer science. It contains methods of the intersection of artificial intelligence, machine learning, statistics, and database systems. The objective of Advances in Data Mining Knowledge Discovery and Applications is to assist data miners, researchers, scholars, and PhD students who requires to apply data mining techniques. The primary objective of this book is highlighting frontier fields and applications of the knowledge discovery and data mining."
9781682500194
Data
knowledge
HA29.5 / .F855
Advances in Data Mining Knowledge : Discovery and Applications - New York : New Rochelle, 2016. - 248 p
"Data mining refers to the computational process of discovering patterns in big data sets. Data mining is an interdisciplinary subfield of computer science. It contains methods of the intersection of artificial intelligence, machine learning, statistics, and database systems. The objective of Advances in Data Mining Knowledge Discovery and Applications is to assist data miners, researchers, scholars, and PhD students who requires to apply data mining techniques. The primary objective of this book is highlighting frontier fields and applications of the knowledge discovery and data mining."
9781682500194
Data
knowledge
HA29.5 / .F855
