Titlebook: Big Data in Engineering Applications; Sanjiban Sekhar Roy,Pijush Samui,Stavros Ntalampir Book 2018 Springer Nature Singapore Pte Ltd. 2018

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书目名称Big Data in Engineering Applications影响因子(影响力)




书目名称Big Data in Engineering Applications影响因子(影响力)学科排名




书目名称Big Data in Engineering Applications网络公开度




书目名称Big Data in Engineering Applications网络公开度学科排名




书目名称Big Data in Engineering Applications被引频次




书目名称Big Data in Engineering Applications被引频次学科排名




书目名称Big Data in Engineering Applications年度引用




书目名称Big Data in Engineering Applications年度引用学科排名




书目名称Big Data in Engineering Applications读者反馈




书目名称Big Data in Engineering Applications读者反馈学科排名

抛媚眼

Precambrian of the North American Craton,in our study area, a bottomland hardwood wetland located in the USDA Forest Service Santee Experimental Forest. Our study demonstrated the feasibility and acceleration performance of the parallel interpolation approach for tackling the big data challenge associated with the generation of very high r

dissent

初次登台

意外的成功

Genericity in Geometric Computingder level view of attack patterns to provide situational awareness of Cyber Security threats. We investigate and explore the event data generated by the Internet protocol Domain Name Systems (DNS) for the purpose of Cyber threat situational awareness. Traditional methods such as Static and Binary an

使厌恶

heterogeneous

https://doi.org/10.1007/978-1-84800-115-2ata point, and using Hashtable when checking the status of and processing the data points. Also other advanced data structures from Spark are applied to make our implementation more effective. We implement the algorithm in Java and evaluate its scalability by using different number of processing cor

书法

Pruritus

Genericity in Geometric Computingpar with that of their counterparts at the national and global level. Analysis of vast data sources generated in this connection being more often not available for analysis is a major concern. The analysis of these volumes of data plays a major role in understanding and ensuring that institutions ar

GRATE

3D Computational Euclidean Geometry ., to record the mismatches between . and . during a search of .(.) against .. In this process, the mismatching tree can be effectively utilized to do some kind of useful mismatching information derivation based on .(.) to avoid any possible redundancy. Extensive experiments have been done to compa