Artificial Intelligence & Data Warehouse Regional Human Resource Management Decision Support System
- Title
- Artificial Intelligence & Data Warehouse Regional Human Resource Management Decision Support System
- Creator
- Rajagopal M.; Hinge P.; Srinivas K.; Palav M.R.; Balaji P.; Muda I.
- Description
- 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. 2022 IEEE.
- Source
- Proceedings of 5th International Conference on Contemporary Computing and Informatics, IC3I 2022, pp. 2110-2113.
- Date
- 2022-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Artificial intelligence (AI); Data warehouse; Decision support system; Regional human resource management
- Coverage
- Rajagopal M., School of Business and Management, Christ Deemed to Be University, India; Hinge P., Christ University, India; Srinivas K., KL University, KLEF, India; Palav M.R., Global Business School & Research Centre Dr. D.Y.Patil Vidyapeeth, India; Balaji P., School of Commerce, Guru Nanak College, P.G & Research Department of Commerce, India; Muda I., Universitas Sumatera Utara, Indonesia
- Rights
- Restricted Access
- Relation
- ISBN: 979-835039826-7
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Rajagopal M.; Hinge P.; Srinivas K.; Palav M.R.; Balaji P.; Muda I., “Artificial Intelligence & Data Warehouse Regional Human Resource Management Decision Support System,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/20131.