Proceedings on Knowledge-Based Business,Industry and Education.

      Аннотация: Knowledge-Based Business, Industry and Education, KBIE-2011: The main purpose of KBIE-2011 is to bring together researchers, professionals, academics, consultants and practitioners from private and public sectors; in universities, banks, schools, industry and in business related to any of these three areas: Business, Industry and Education to relationships among them as well as those who are related to the conception, design or implementations of systems, tools and technologies oriented to support knowledge-based business, industry and/or education. Industrial business and education lack concepts that enable decision makers within knowledge-based processes to anticipate possible predicting impact of their decisions. In order to improve the decision support within knowledge-based business, industry and education to analyze tangibles and intangible of products and services produced.

Ключевые слова: Europe, Clustering, Information Retrieval, Globalization, university, cultural capital, Internationalization, Graduates, Employment, empowerment, Support Vector Machine, Hierarchical clustering, information visualization, Habitus, Employability, Immobilization, crosslinking, Bacillus subtilis, dimension reduction, Decision Tree, Network traffic, k-means clustering, Business Education, Career ‘success’, short-term study abroad, Shrimp shell, Euclidian distance function, agglomerative hierarchical clustering, single linkage clustering, complete linkage clustering, average linkage clustering, Ward's hierarchical clustering, Visual Interactive Interface VII, Human user interface HUI, and DSS at Time variant pressure, Chai, e-Health; EHR; Multi-national Corporation; Interoperability, Knowledge Sharing; Knowledge Transfer; e-Health; Knowledge Management; Community of Practice; medical decision-making, 2010 Mathematics Subject Classification: 34B05, 34C20, University-industry-government collaboration; Open innovation; Basic research; R&D strategy; Innovation management; Science and technology policy; probit model