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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.
Economics/Management Science. --- IT in Business. --- Non-Profit Enterprises/Corporate Social Responsibility. --- Business Mathematics. --- Economics. --- Economie politique --- Management information systems. --- Commerce --- Business & Economics --- Commerce - General --- Data mining. --- Big data. --- Data sets, Large --- Large data sets --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Business. --- Information technology. --- Business --- Business mathematics. --- Business ethics. --- Business and Management. --- Business Ethics. --- Data processing. --- Database searching --- Data sets --- Arithmetic, Commercial --- Business arithmetic --- Business math --- Commercial arithmetic --- Finance --- Mathematics --- Businesspeople --- Commercial ethics --- Corporate ethics --- Corporation ethics --- Professional ethics --- Wealth --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Moral and ethical aspects --- Business—Data processing.
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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.
Professional ethics. Deontology --- Mathematics --- Accountancy --- Business policy --- Business management --- Business economics --- Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- bedrijven --- deontologie --- organisatiecultuur --- bedrijfsethiek --- bedrijfsfinanciën --- informatietechnologie --- wiskunde
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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.
Database management. --- Computer communication systems. --- Special purpose computers. --- Architecture, Computer. --- Data mining. --- Information storage and retrieval. --- Database Management. --- Computer Communication Networks. --- Special Purpose and Application-Based Systems. --- Computer System Implementation. --- Data Mining and Knowledge Discovery. --- Information Storage and Retrieval. --- Special purpose computers --- Computers --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Architecture, Computer --- Distributed processing --- Computer architecture
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Information retrieval --- Computer architecture. Operating systems --- Information systems --- hardware --- informatiesystemen --- database management --- computernetwerken --- architectuur (informatica) --- data acquisition
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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.
Information retrieval --- Computer architecture. Operating systems --- Information systems --- hardware --- informatiesystemen --- database management --- computernetwerken --- architectuur (informatica) --- data acquisition
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