원문정보
초록
영어
With the continuous advancement of the data science and engineering, the combination of data analysis with other applications has been a trend. Data mining is in accordance with the established business goals from huge amounts of data to extract the effective potential and can be understood model of advanced treatment process. In this research paper, we conduct discussion on the execution of civil servants and professional ethics based on data analysis. Starting from the concept of data mining, this paper introduces the objects as the functions of data mining and mining process, mining algorithm combined with several kinds of common data mining, decision tree method, association rules method and neural network to its main ideas and improve the related description. We firstly review traditional data classification algorithms such as the Bayes classification algorithm to serve as the foundation. Later, we propose our method by using the modified SVM and deep neural network optimization. Then, we review the principles of civil servants and professional ethics with the combination of the prior discussion. The experimental result illustrates the feasibility and effectiveness of our method. We also discuss the future research plan in the final part.
목차
1. Introduction
2. Overview of Traditional Data Classification Algorithms
2.1. Rotation Forest Classification Algorithm
2.2. The Modified Naive Bayes Classification Algorithm
3. Our Proposed Data Classification Methodology
3.1. Kernel Based Support Vector Machine Principles
3.2. Optimized Deep Structure Assisted Model for Enhancement
3.3. The Optimization Techniques Introduction
4. Principles of Execution of Civil Servants and Professional Ethics
5. Experimental Analysis and Simulation
6. Conclusion and Summary
References