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Titlebook: Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics; Second International Arun K. Somani,Seeram Ramakrishna,

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发表于 2025-3-21 19:28:02 | 显示全部楼层 |阅读模式
书目名称Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics
副标题Second International
编辑Arun K. Somani,Seeram Ramakrishna,Basant Agarwal
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics; Second International Arun K. Somani,Seeram Ramakrishna,
描述.This book constitutes the refereed proceedings of the Second International Conference on Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics, ICETCE 2019, held in Jaipur, India, in February 2019...The 28 revised full papers along with 1 short paper presented were carefully reviewed and selected from 253 submissions... ICETCE conference aims to showcase advanced technologies, techniques, innovations and equipments in computer engineering. It provides a platform for researchers, scholars, experts, technicians, government officials and industry personnel from all over the world to discuss and share their valuable ideas and experiences..
出版日期Conference proceedings 2019
关键词artificial intelligence; cloud computing; data security; image processing; image segmentation; Internet o
版次1
doihttps://doi.org/10.1007/978-981-13-8300-7
isbn_softcover978-981-13-8299-4
isbn_ebook978-981-13-8300-7Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2019
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Performance Evaluation of Tree Ensemble Classification Models Towards Challenges of Big Data Analytformance and streaming dataset such that performance rate decreases on increasing the compute nodes due to a redundant allocation of feature subsets in the hybrid approach of task & data parallelization and inability to handle stream data. So these performance issues are identified and a problem sta
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The Survival Analysis of Big Data Application Over Auto-scaling Cloud Environment,computing resources like add, remove, scale-up or scale-down resources depending upon workload. Big data applications associated with the large storage capacity and high processing power, cloud environment is suitable for fulfilling big data application requirement using auto-scaling of resources. I
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Rating Prediction by Combining User Interest and Friendly Relationship,habits related), social rating pattern diffusion (behavior of users diffusions related), and item similarity, this can be deduced by distributing the rating of a user set that represent customers evaluation—into a combined framework of matrix factorization. We tend to perform a number of experiments
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Join Query Optimization Using Genetic Ant Colony Optimization Algorithm for Distributed Databases,ous query plans that can minimize the consumption of computer resources. Various search strategies beginning from Deterministic Algorithms to the most recent and modern Evolutionary Algorithms have contributed incalculably towards query optimization but they bear their own set of limitations and dra
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Nischenstrategien im Kreditwesenformance and streaming dataset such that performance rate decreases on increasing the compute nodes due to a redundant allocation of feature subsets in the hybrid approach of task & data parallelization and inability to handle stream data. So these performance issues are identified and a problem sta
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