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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.
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Data Science - 6th International Conference, ICDS 2019, Ningbo, China, May 15-20, 2019, Revised Selected Papers (Paperback, 1st ed. 2020)
Jing He, Philip S. Yu, Yong Shi, Xingsen Li, Zhijun Xie, …
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R1,718
Discovery Miles 17 180
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 6th
International Conference on Data Science, ICDS 2019, held in
Ningbo, China, during May 2019. The 64 revised full papers
presented were carefully reviewed and selected from 210
submissions. The research papers cover the areas of Advancement of
Data Science and Smart City Applications, Theory of Data Science,
Data Science of People and Health, Web of Data, Data Science of
Trust and Internet of Things.
Society forges ahead in the process of solving various
contradictory problems and it is ceaselessly innovating. It is the
desire of mankind to use computers and computing networks to help
deal with contradictory problems and to conduct innovative
activities. Using formal models to discuss object extension and the
possibility of change, as well as the rules and methods for
innovation, Extenics is applied to solving contradictory problems
and has become the basic theory, method and instrument to achieve
this goal. In the 30 years since the foundation of Extenics,
researchers have built relatively complete theoretical systems
-'extension theory', studied formal and modeling innovation methods
-'extension innovation methods', and launched the applications in
various fields such as information, design, automation and
management etc. -'extension engineering'. Extension theory, the
extension innovation method and extension engineering jointly
constitute the new discipline-Extenics. At the same time, the
practical activities of engineering technology and management
promote the integration of various innovation methods such as TRIZ
and brainstorming etc. This book collects together, from scholars
in various fields, the research achievements in Extenics and
innovation methods, in order to facilitate and promote the
development of Extenics and the various innovation theories and
methods, as well as to improve its innovative capacity in academic
and business circles.
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R1,150
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Discovery Miles 8 870
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