Titlebook: Big Data Analytics; Second International Vasudha Bhatnagar,Srinath Srinivasa Conference proceedings 2013 Springer International Publishing

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書目名稱Big Data Analytics影響因子(影響力)




書目名稱Big Data Analytics影響因子(影響力)學(xué)科排名




書目名稱Big Data Analytics網(wǎng)絡(luò)公開度




書目名稱Big Data Analytics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Big Data Analytics被引頻次




書目名稱Big Data Analytics被引頻次學(xué)科排名




書目名稱Big Data Analytics年度引用




書目名稱Big Data Analytics年度引用學(xué)科排名




書目名稱Big Data Analytics讀者反饋




書目名稱Big Data Analytics讀者反饋學(xué)科排名

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Challenges and Approaches for Large Graph Analysis Using Map/Reduce Paradigmively parallel ways (e.g., Map/Reduce, Bulk Synchronous Parallelization), as well as the ability to process unstructured data. This has allowed one to solve problems that were not possible (or extremely time consuming) earlier. Many algorithms are being mapped to new paradigms to deal with larger ve

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Visualization of Small World Networks Using Similarity Matrices” Generally networks are represented using graph layouts and images of adjacency matrices, which have shortcomings of occlusion and spatial complexity in its direct form. These shortcomings are usually alleviated using pixel displays, hierarchical representations in the graph layout, and sampling an