Intelligent Knowledge - A Study beyond Data Mining (Paperback, 2015 ed.)

This book is mainly about an innovative and fundamental method called "intelligent knowledge" to bridge the gap between data mining and knowledge management, two important fields recognized by the information technology (IT) community and business analytics (BA) community respectively. The book includes definitions of the "first-order" analytic process, "second-order" analytic process and intelligent knowledge, which have not formally been addressed by either data mining or knowledge management. Based on these concepts, which are especially important in connection with the current Big Data movement, the book describes a framework of domain-driven intelligent knowledge discovery. To illustrate its technical advantages for large-scale data, the book employs established approaches, such as Multiple Criteria Programming, Support Vector Machine and Decision Tree to identify intelligent knowledge incorporated with human knowledge. The book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional Chinese medicines.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	SpringerBriefs in Business
Release date:	May 2015
First published:	2015
Authors:	Yong Shi • Lingling Zhang • Yingjie Tian • Xingsen Li
Dimensions:	235 x 155 x 9mm (L x W x T)
Format:	Paperback - Cloth over boards
Pages:	150
Edition:	2015 ed.
ISBN-13:	978-3-662-46192-1
Categories:	Books > Business & Economics > Business & management > Management of specific areas > General Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	3-662-46192-7
Barcode:	9783662461921

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