Research on small files classification based on improved KNN algorithm and pretreatment strategy

被引：0

作者：

Shi, Hengliang ^{[1
,2
]}

Bai, Xiaolei ^{[1
]}

Zhen, Lintao ^{[1
]}

机构：

[1] Information Engineering College, Henan University of Science and Technology, No. 263, Kaiyuan Road, Luoyang, China

[2] Noah (Suzhou) IT Solution Co., Ltd, Suzhou, China

来源：

ICIC Express Letters | 2015年 / 9卷 / 02期

关键词：

Data handling - Learning algorithms - Information retrieval systems;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This article which combines MapReduce model with mass data processing innovatively, proposes small files classification and pretreatment strategy research on mass data. The described method provides more convenience for the parallel computing characteristics of MapReduce architecture, and saves a large amount of processing time. Meanwhile, the classification method is proved to be efficient and reliable through some experiments. The strategy of the paper can be widely applied to document classification and clustering research and application. © 2015, ICIC International.

引用

页码：603 / 608

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