Study on Massive Text Classification Mining Grid System

Jian Yang, M. Sun, Wenjun Zhou
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引用次数: 1

Abstract

Instant text classification data mining of massive text data is a difficult issue because of the wide range of sources, different types of text. The grid-based Massive text data classification algorithm is studied. The Massive text classification grid is designed. And the massive excavation text classification grid architecture is advanced. The grid user registration and certification, classification operations management, and real-time data collection, sorting and immediate real-time analysis capabilities is established.
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海量文本分类挖掘网格系统研究
海量文本数据由于来源广泛、文本类型不同而成为即时文本分类数据挖掘的一个难题。研究了基于网格的海量文本数据分类算法。设计了海量文本分类网格。提出了海量挖掘文本分类网格结构。建立了网格用户注册认证、分类操作管理、实时数据采集、整理和即时实时分析能力。
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