This book covers both conceptual and procedural aspects of cutting-edge data mining methods, and the path for transitioning from classical statistics and modern data science. Readers will learn how various open source and commercial software modules can be properly applied to different situations.
This book covers both conceptual and procedural aspects of cutting-edge data mining methods, and the path for transitioning from classical statistics and modern data science. Readers will learn how various open source and commercial software modules can be properly applied to different situations.
Data mining is still a relatively young field, expanding at the rate of technology while advancing tools and techniques for gaining knowledge, finding patterns, and managing databases. Exploring...
This is a reproduction of a book published before 1923. This book may have occasional imperfections such as missing or blurred pages, poor pictures, errant marks,...
This book constitutes the refereed proceedings of the 4th International Conference on Data Mining and Big Data, DMBD 2019, held in Chiang Mai, Thailand, in July 2019. The 26 full papers and 8 short...
Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have...
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