区块链框架下基于优化决策树模型的大数据分类算法研究

Research on Big Data Classification Algorithm Based on Optimized Decision Tree Model Under Blockchain Framework

近年来,虽然我国大数据技术的发展水平有所提升,但是分类算法存在分类准确性问题和计算能力问题,而在区块链框架体系下,以优化决策树模型为基础的大数据分类算法,具有数据加密的特点,能够形成分布类型的决策树模型,精准进行数据的分类处理,优化决策树算法,有效解决传统大数据分类算法的问题。基于此,分析区块链框架下基于优化决策树模型的大数据分类算法应用意义,提出几点算法技术的应用措施,旨在为增强技术发展水平而提供帮助。

In recent years, although the development level of big data technology in my country has improved, the classification algorithm has problems of classification accuracy and computing power. Under the blockchain framework system, the big data classification based on the optimized decision tree model. The algorithm, with the characteristics of data encryption, can form a distributed decision tree model, accurately classify and process data, optimize the decision tree algorithm, and effectively solve the problems of traditional big data classification algorithms. Based on this, this paper analyzes the application significance of the big data classification algorithm based on the optimized decision tree model under the blockchain framework, and proposes several application measures of algorithm technology, aiming to provide help for enhancing the level of technological development.