数据挖掘中的数据分类算法综述

在数据挖掘的过程中,使用到很多分类算法,可见分类算法在数据挖掘中占有非常重要的地位。数据分类算法有很多种,各有不同的优缺点,因此,通过对不同算法特性的研究,有助于后期对算法进行相应的改进,确保新的分类算法能够具备更好的实用性能。数据分类算法的性能优良,不仅可以提高数据挖掘的功能性和实用性,还可以确保使用者对算法具备更多的选择性,基于此,对数据挖掘中不同的数据分类算法进行了研究和分析。

Overview of Data Classifi cation Algorithms in Data Mining

In the current data mining process,many classification algorithms are used,so classification algorithms occupy a very important position in data mining.At this stage,there are many data classification algorithms,but different algorithms still have certain shortcomings in the actual use process.Therefore,through the study of the characteristics of different algorithms,it can help to improve the algorithms in the later stage to ensure The new classification algorithm can have better practical performance.The performance of the data classification algorithm is excellent,which can not only improve the functionality and practicality of data mining,but also ensure that users have more selectivity in the process of selecting algorithms.Based on this,this article analyzes different data in data mining.The classification algorithm is researched and analyzed.