that aims to unite theory and practice by demonstrating how graph-theoretic concepts can be applied to various areas in Computer ...
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The workshop aims at uniting theory and practice by demonstrating how graph-theoretic concepts can be applied to various ...
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This book constitutes the thoroughly refereed post-conference proceedings of the 34th International Workshop on Graph-Theoretic ...
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This book studies a graph-based knowledge representation and reasoning formalism stemming from conceptual graphs, with a ...
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This book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on Graphics Recognition, ...
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This book contains refereed and improved papers presented at the 6th IAPR Workshop on Graphics Recognition (GREC 2005). This ...
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The primary objectives of GRAPHS, DIOÏDS AND SEMIRINGS: New Models and Algorithms are to emphasize the deep relations existing ...
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The third edition of this standard textbook contains additional material: two new application sections (on graphical codes ...
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This book have a chapter on the network simplex algorithm and a section on the five color theorem; this also necessitated ...
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This book constitutes the refereed proceedings of the 15th International Conference on Green, Pervasive, and Cloud Computing, ...
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Grid computing has become a topic of significant interest in the scientific community as a means of enabling application ...
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Grid Computing: Achievements and Prospects, the 9th edited volume of the CoreGRID series, includes selected papers from the ...
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Researchers in the ?eld of life sciences rely increasingly on information te- nology to extract and manage relevant knowledge. ...
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This volume presents the accepted papers for the 4th International Conference on Grid and Cooperative Computing (GCC2005),held ...
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The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The ...
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Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent ...
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Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, ...
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Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, ...
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Handbook of Operations Research in Natural Resources will be the first systematic handbook treatment of quantitative modeling ...
Lire la suiteHandbook of Biomedical Image Analysis: Segmentation Models (Volume I) is dedicated to the segmentation of complex shapes ...
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