System Design for Financial and Economic Monitoring Using Big Data Clustering
- Title
- System Design for Financial and Economic Monitoring Using Big Data Clustering
- Creator
- Madem S.; Katuri P.K.; Anandasubramanian C.P.; Anandasubramanian C.P.; Kalra A.; Singh P.
- Description
- Economic data executives are becoming increasingly important for the longevity and improvement of ventures due to the constant expansion in the influence of data innovation. This study lays out an undertaking economic data the executive's structure for the intricate internal undertaking economic data the board business. It also includes the application of web-based big data technology to understand the fairness, reliability, and security of system database calculations, mainly to improve office capabilities and solve daily project management problems. used in the project. The aim is to evaluate the suitability of transfer clustering computation (DCA) for managing large amounts of data in energy systems and the suitability of data economics dispatch methods for harnessing new energies. Then, combine day-ahead shipping plans with continuous shipping plans to create a multi-period, data-economic shipping model. Consider how the calculations are performed using a case study on the use of new energies. This will enable new energy in multi-period data economics shipping models while meeting his DR requirements on the customer side. 2023 IEEE.
- Source
- Proceedings of the 2nd IEEE International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2023
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Big Data; Clustering; Economic; Financial; Monitoring
- Coverage
- Madem S., Vignan's Institute of Information Technology (A), Department of Management Studies, Visakhapatnam, 530049, India; Katuri P.K., Vfstr Deemed to Be University, Department of Management Studies, Andhra Pradesh, India; Anandasubramanian C.P., Vels University, Tamil Nadu, Chennai, 600117, India; Anandasubramanian C.P., Christ University, School of Business and Management, Bangalore, India; Kalra A., Mba, Brandeis University, Transfer Pricing and International Economics Subject-Matter Expert, MA, Waltham, United States; Singh P., Lovely Professional University, Department of Management, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835031590-5
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Madem S.; Katuri P.K.; Anandasubramanian C.P.; Anandasubramanian C.P.; Kalra A.; Singh P., “System Design for Financial and Economic Monitoring Using Big Data Clustering,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 26, 2025, https://archives.christuniversity.in/items/show/19887.