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.
