Applied Data Mining

· ·
· CRC Press
I-Ebook
284
Amakhasi
Kufanelekile
Izilinganiso nezibuyekezo aziqinisekisiwe  Funda Kabanzi

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Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between traditional data mining and the latest adv

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Dr. Guandong Xu , Centre for Applied Informatics, School of Engineering and Science, Victoria University, Australia

Prof. Yu Zong, Department of Information and Engineering, West Anhui University, China

Dr. Zhenglu Yang, Institute of Industrial Science, Tokyo, Japan

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