数据挖掘中常用分类算法的分析比较

摘要

Classification is the most basic form of cognition ,so data classification is a very important work in data mining .However ,with the advent of the era of big data ,in the face of massive data ,there are more or less problems in various classification algorithms and techniques in the accuracy ,time efficien‐cy ,robustness and so on .Accordingly ,based on detailed study on the classification techniques for data mining ,this paper aims to explore in a comparative manner the advantages and disadvantages of the popu‐lar classification algorithms and their applications .It also puts forward the perspective on the development of the classification techniques for data mining in the future .%分类是最基本的一种认知形式，因此数据分类也是数据挖掘中一项非常重要的工作。随着大数据时代的来临，面对海量数据，各种分类算法和技术在准确性、时间效率、鲁棒性等方面都或多或少地出现了一些问题。在对数据挖掘中的分类技术研究的基础上，通过对各种常用分类算法的分析比较，总结了各自的优点、缺陷和适用情境，并对数据挖掘分类技术的未来发展进行了展望。