الصفحة 1
الصفحة 1
Data mining and knowledge management ; Chinese academy of sciences symposium CASDMKD 2004, Beijing, China, July 12-14, 2004, Revised Paper
Knowledge management for enterprise: These papers address various issues related to the application of knowledge management in corporations using various techniques. A particular emphasis here is on coordination and cooperation. • Risk management: Better knowledge management also requires more advanced techniques for risk management, to identify, control, and minimize the impact of uncertain events, as shown in these papers, using fuzzy set theory and other approaches for better risk management. • Integration of data mining and knowledge management: As indicated earlier, the integration of these two research fields is still in the early stage. Nevertheless, as shown in the papers selected in this volume, researchers have endearored to integrate data mining methods such as neural networks with various aspects related to knowledge management,
Computational Science – ICCS 2007; 7th International Conference, Beijing China, May 27-30, 2007, Proceedings, Part I
This book contiants sections on efficient data management, parallel monte carlo algorithms, simulation of multiphysics multiscale systems, dynamic data driven application systems, computer graphics and geometric modeling, computer algebra systems, computational chemistry, computational approaches and techniques in bioinformatics, computational finance and business intelligence, geocomputation, high-level parallel programming, networks theory and applications, collective intelligence for semantic and knowledge grid, collaborative and cooperative environments, tools for program development and analysis in CS, intelligent agents in computing systems, CS in software engineering, computational linguistics in HCI, internet computing in science and engineering, workflow systems in e-science, graph theoretic algorithms and applications in cs, teaching CS, high performance data mining, mining text, semi-structured, Web, or multimedia data,
Computational Science – ICCS 2007 ; 7th International Conference, Beijing China, May 27-30, 2007, Proceedings, Part IV
This book covers computational science and related areas, from multiscale physics to wireless networks, and from graph theory to tools for program development.
Computational Science – ICCS 2007 ; 7th International Conference, Beijing China, May 27-30, 2007, Proceedings, Part III
This book covers computational science and related areas, from multiscale physics to wireless networks, and from graph theory to tools for program development.
Computational Science – ICCS 2007 ; 7th International Conference, Beijing China, May 27-30, 2007, Proceedings, Part II
This book covers computational science and related areas, from multiscale physics to wireless networks, and from graph theory to tools for program development.
Advances in Big Data Analytics : Theory, Algorithms and Practices
Provides a comprehensive and cutting-edge study on big data analytics, based on the research findings and applications developed by the author and his colleagues in related areas. It addresses the concepts of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines for classification, feature selection, data stream analysis, learning analysis, sentiment analysis, link analysis, and evaluation analysis. The book also explores lessons learned in applying big data to business, engineering and healthcare. Lastly, it addresses the advanced topic of intelligence-quotient (IQ) tests for artificial intelligence.
Advanced Web and Network Technologies, and Applications ; APWeb 2008 International Workshops : BIDM, IWHDM, and DeWeb Shenyang, China, April 26-28, 2008. Revised Selected Papers
Constitutes the thoroughly refereed joint post-workshop proceedings of three international workshops held in conjunction with the 10th Asia-Pacific Web Conference, APWeb 2008, in Shenyang, China, in April 2008.
