股票市场预测方法分析

2023 International Conference on Artificial Intelligence and Smart Communication (AISC) Pub Date : 2023-01-27 DOI:10.1109/AISC56616.2023.10085262

Maya Joshi, Gaurav Goel

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引用次数: 0

摘要

数据挖掘是一种可以从大量数据中收集有意义信息的方法。被称为预测分析的数据挖掘方法使用当前数据来预测潜在的未来结果。对图像进行预处理、提取特征、对图像进行分类只是预测分析方法中使用的几个操作。股票市场预测是本文研究的基础。本研究回顾了一些基于分类的股票市场预测系统。Python用于将股票市场预测概念付诸实践。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Stock Market Prediction Approach: An Analysis

Data mining is a method that can glean meaningful information from a wealth of data. The data mining method known as prediction analysis uses current data to forecast potential future outcomes. Pre-processing the image, to extract the features, and classify the image are just a few of the operations used in the prediction analysis methodology. The stock market forecast is the foundation of this review essay. This study reviews a number of classification-based stock market prediction systems. Python is used to put the stock market forecasting concepts into practice.

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来源期刊

2023 International Conference on Artificial Intelligence and Smart Communication (AISC)

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