基于案例的模块化数据分析推理系统的开发

2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE) Pub Date : 2020-03-01 DOI:10.1109/REEPE49198.2020.9059242

P. Varshavskii, R. Alekhin, S. Polyakov, Timur Blashonkov, I. Mukhacheva

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引用次数: 4

摘要

本文致力于开发一个模块化的基于案例的推理系统，能够执行学习周期的所有阶段，并将其作为web应用程序实现。介绍了该系统的主要模块，并举例说明了该系统在解决数据分类任务中的应用。采用k-NN算法进行分类。该系统还通过使用各种分类(基于k-NN算法)和聚类算法(基于k-means算法)减少案例库中的案例数量来优化案例库。

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Development of a Modular Case-Based Reasoning System for Data Analysis

This paper is devoted to the issues of developing a modular case-based reasoning system, capable of performing all stages of the learning cycle and its implementation as a web application. The main modules of the system and an example of its usage for solving the task of data classification is presented. k-NN algorithm is used for classification. The system also used to optimize case library by reducing the number of cases in case library using various classification (based on the k-NN algorithm) and cluster algorithms (based on the k-means algorithm).

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来源期刊

2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

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