基于密度的聚类方法在股市分析中的应用

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2024-03-04 DOI:10.1080/08839514.2024.2321550

Tanuja Das, Anindya Halder, Goutam Saha

引用次数: 0

摘要

当前的经济在很大程度上依赖于利用股市数据对商业途径进行精确预测。由于股市数据属于大数据的范畴，因此处理股市数据的任务就显得尤为重要。

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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Application Of Density-Based Clustering Approaches For Stock Market Analysis

Present economy is largely dependent on the precise forecasting of the business avenues using the stock market data. As the stock market data falls under the category of big data, the task of handl...

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来源期刊

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.