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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.
Choose an application
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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