基于数据挖掘任务的分类方法综述

Survey of Classification Methods Based on Data Mining Tasks

分类是数据挖掘的研究分支,用于发现数据中隐含的模式并实现数据的类别划分,通常将每一个类别称作概念。本文首先介绍数据挖掘现有的应用研究;其次,应用传统机器学习方法及群智能算法,对比分析不同方法的实现;最后,对未来工作进行展望。

Classification is a research branch of data mining,which is used to discover hidden patterns in data and realize the classification of data.Each category is usually called a concept.Firstly,the application research of data mining is introduced;Secondly,the traditional machine learning method and swarm intelligence algorithm are used to compare and analyze the implementation of different methods;Finally,the future work outlook.