人工智能与数据仓库区域人力资源管理决策支持系统

Manikanda Rajagopal, P. Hinge, Kolachina Srinivas, Manesh R. Palav, P. Balaji, I. Muda
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引用次数: 2

摘要

高质量的数据被用来做出明智的决定,有效地帮助成功地保护我们的环境。当大量的信息在本质上是异构的(来自各种各样的领域或来源)并且质量未知时,可能会出现各种问题。此外,这个问题的动态性也带来了一些其他的复杂性。为了处理这些复杂问题,超级计算机在现代环境中发挥的核心作用是促进保护措施,如监测、数据分析、通信、信息存储和检索。目前,对数据管理过程的高度依赖迫使开发人员使用基于人工智能知识的技术来集成和增强所有这些计划,以便智能系统可以被大量的人使用。在此背景下,本研究说明了人工智能方法在过去二十年中如何改变了环境决策支持系统(EDSS)的性质。本综述强调了EDSS应表现出的优势。在最后一节中,我们将介绍一些用于各种环境问题的更具创新性的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence & Data Warehouse Regional Human Resource Management Decision Support System
High-quality data is utilized to make informed decisions that effectively help to successfully safeguard our environment. When there is an abundance of information that is both heterogeneous in nature (coming from a wide variety of fields or sources) and of unknown quality, various problems may occur. Furthermore, the problem’s dynamic nature also imposes some other complications. In order to deal with such complications, the central role played by supercomputers in the modern environment is to promote protection initiatives like monitoring, data analysis, communication, and information storage and retrieval. In current days, the higher dependency on the data management process forced the developers to integrate and enhance all these initiatives with Artificial Intelligence knowledge-based techniques so that smart systems can be utilized by a vast number of people. In this context, this study has illustrated how Artificial Intelligence methods have changed the nature of Environmental Decision Support Systems (EDSS) over the course of the last two decades. The strengths that an EDSS should exhibit have been emphasized in this review. In the final section, we look at some of the more innovative solutions used for various environmental issues.
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