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分布式数据流挖掘技术综述

万新贵

微型机与应用2016,Vol.35Issue(21):8-10,13,4.
微型机与应用2016,Vol.35Issue(21):8-10,13,4.DOI:10.19358/j.issn.1674-7720.2016.21.002

分布式数据流挖掘技术综述

A survey of distributed data streams mining technique

万新贵1

作者信息

  • 1. 南京邮电大学 计算机学院,江苏 南京 210003
  • 折叠

摘要

Abstract

The rapid development of Internet information technology has generated a new data model-data stream model.The demands for real-time processing of data stream are emerging in an increasing number of areas, large-scale and high-speed data as well as real-time application of scenarios require the further technological development of data stream mining.This thesis, at its beginning, introduces the common data stream model and then summarizes the supporting technology applied in data stream mining based on the characteristics of the data stream model.Finally, this thesis analyzes the importance and effectiveness of distributed data stream mining technology, presents the parallel algorithm mathematical model and introduces several representative distributed data stream processing system.

关键词

数据流模型/数据流挖掘/分布式/并行化/数据流处理系统

Key words

data stream model/data stream mining/distributed/parallel/data stream processing system

分类

计算机与自动化

引用本文复制引用

万新贵..分布式数据流挖掘技术综述[J].微型机与应用,2016,35(21):8-10,13,4.

微型机与应用

2097-1788

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