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Combinatorial and algorithmic aspects of networking ; Vol.3405 ; 1st Workshop on combinatorial and algorithmic aspects of networking, CAAN 2004, Banff, Alberta, Canada, August 5-7, 2004, Revised Selected Papers
The Internet is a massive global network of over 700 million users and it is addingusers at the rate of 300,000 per day. This large, distributed, and everchangingnetwork poses a challenge to researchers: How does one study, model, or under-stand such a decentralized, constantly evolving entity? The workshop Combi-natorial and Algorithmic Aspects of Networking and the Internet (CAAN 2004)provided a forum for the exchange of ideas on these topics. and among thepapers were some new and surprising results as well as some introductions tothe foundations of the field.The workshop program featured 12 peer-reviewed papers bracketed by Topics covered by the talks ranged from the Web graph to game theoryto string matching, all in the context of large-scale networks. This volume collectstogether the talks delivered at the workshop along with a number of survey articlesto round out the presentation and give a comprehensive introduction to the topic.
Combinatorial and Algorithmic Aspects of Networking ; 4th Workshop, CAAN 2007, Halifax, Canada, August 14, 2007, Revised Papers
It contiants developments on all aspects of networking could be presented. It covered were diverse, with talks on strategies for searching in networks, for cleaning networks of unwanted - truders, on difierent routing strategies, and on scheduling, load balancing, probability, a concept central to network modeling and managing.
Combinatorial and Algorithmic Aspects of Networking (vol. # 4235) ; Third Workshop, CAAN 2006, Chester, UK, July 2, 2006, Revised Papers
This book constitutes the thoroughly refereed post-proceedings of the Third Workshop on Combinatorial and Algorithmic Aspects of Networking, held in Chester, UK in July 2006, co-located with the 13th Colloquium on Structural Information and Communication Complexity, SIROCCO 2006.The 10 revised full papers and one invited lecture cover a range from the Web graph to game theory to string matching, all in the context of large-scale networks.
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.
