Recent advances on the application of big data framework based on Hadoop platform

Xiao Zhang, H. Xu, Haiquan Wang, Xu Chen
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引用次数: 1

Abstract

Data mining plays an important role in all kinds of practical applications in modern society. In recent years, with the exponential growth trend of data produced and accumulated in various industries, data mining has attracted the attention of many researchers. Hadoop distributed software framework is the most commonly used framework to build cloud platform. This paper introduces the latest progress of parallel data mining applications in Hadoop platform, such as book management, cloud computing, industry, scientific research and water treatment, traffic management and other practical applications such as daily life management.
基于Hadoop平台的大数据框架应用最新进展
数据挖掘在现代社会的各种实际应用中发挥着重要作用。近年来,随着各行各业产生和积累的数据呈指数增长趋势,数据挖掘引起了许多研究者的关注。Hadoop分布式软件框架是构建云平台最常用的框架。本文介绍了Hadoop平台上并行数据挖掘应用的最新进展,如图书管理、云计算、工业、科研和水处理、交通管理以及日常生活管理等实际应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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