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Titlebook: Big Data Analytics; Third International Srinath Srinivasa,Sameep Mehta Conference proceedings 2014 Springer International Publishing Switz

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发表于 2025-3-21 16:50:58 | 显示全部楼层 |阅读模式
期刊全称Big Data Analytics
期刊简称Third International
影响因子2023Srinath Srinivasa,Sameep Mehta
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Big Data Analytics; Third International  Srinath Srinivasa,Sameep Mehta Conference proceedings 2014 Springer International Publishing Switz
影响因子This book constitutes the refereed conference proceedings of the Third International Conference on Big Data Analytics, BDA 2014, held in New Delhi, India, in December 2014. The 11 revised full papers and 6 short papers were carefully reviewed and selected from 35 submissions and cover topics on media analytics; geospatial big data; semantics and data models; search and retrieval; graphics and visualization; application-specific big data.
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Technology of Ultrasound-Guided Therapyacies are compared on different feature sets. We feel that such classifiers will help business or corporate houses, political parties or analysts etc. to evaluate public sentiments about them and design appropriate policies to address their concerns.
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https://doi.org/10.1007/978-1-59259-696-6mputational geometry operations as well as two-way and multi-way spatial join operations. We discuss storage optimization techniques such as chunking and colocation to enable efficient organization of multi-dimensional data on HDFS along with indexing techniques for fast spatial data access.
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https://doi.org/10.1007/978-1-59259-696-6estions. We present an algorithm that attempts to select the best related keyword among all possible suggestions for an input search query and discuss its implementation based on a ternary search tree and graph data structure. We experimentally study the performance of the proposed method in compari
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Gastric IORT With or Without EBRTethodology, the experiments conducted on both un-weighted and weighted PPI network datasets show that, the proposed methodology enhances the data quality and improves prediction accuracy over other approaches. The results indicate that the proposed approach could utilize underutilized knowledge, suc
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Bile Duct and Gallbladder Cancers thus, can conceivably imitate the offline landscape of the elections. Finally, we discuss the use of micro-blogging message content as a legitimate pointer of political sentiments and develop suggestions for the future research.
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