文章基本信息

标题：A Mapreducing Based on Skytree and SVM Classification for Big Data Using Hadoop Environment
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作者：K.Selvaraj ; N.Geetha
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：9
页码：7669-7677
DOI：10.15680/IJIRCCE.2018. 0609039
出版社：S&S Publications
摘要：In big data retrieval a cooperative-based database caching system for large datasets and the heart of the system catch submitted queries to database. In data caches, node that already request a caches in the queries are used as indices to 1retrieval the data. Based on the external database and caching systems are formed for requested data to retrieve from distributed file system in cloud. Hadoop having different limitations is a very low-level implementation to analyze the requirements like Map Reducing, extensive knowledge for developer to operate different SVM. The user’s queries turn into Hadoop jobs automatically, and create an abstraction layer if anyone can exploit to reduce and manage datasets stored in the Hadoop that related to SVM. To analyze the Hamlet framework allows the users to take caching decision system for content and then retrieve from the large datasets. We focus on sky tree to analyze a machine learning language and data analytics platform focused on handling the Big Data.
关键词：Hadoop; Big Data Retrieval; Hamlet framework; Sky Tree; Multi node Clustering