A modern approach of swarm intelligence analysis in big data: Methods, tools, and applications
- Title
- A modern approach of swarm intelligence analysis in big data: Methods, tools, and applications
- Creator
- Kannapiran T.; Patel K.; Thirusha T.K.; Shrivastava V.K.; Kumar A.S.
- Description
- Swarm intelligence is one of the most modern and less discovered artificial intelligence types. Until now it has been proven that the most comprehensive method to solve complex problems is using behaviours of swarms. Big data analysis plays a beneficial role in decision making, education domain, innovations, and healthcare in this digitally growing world. To synchronize and make decisions by analysing such a big amount of data may not be possible by the traditional methods. Traditional model-based methods may fail because of problem varieties such as volume, dynamic changes, noise, and so forth. Because of the above varieties, the traditional data processing approach will become inefficient. On the basis of the combination of swarm intelligence and data mining techniques, we can have better understanding of big data analytics, so utilizing swarm intelligence to analyse big data will give massive results. By utilizing existing information about this domain, more efficient algorithm can be designed to solve real-life problems. 2023, IGI Global. All rights reserved.
- Source
- Dynamics of Swarm Intelligence Health Analysis for the Next Generation, pp. 59-82.
- Date
- 2023-01-01
- Publisher
- IGI Global
- Coverage
- Kannapiran T., Karnavati University, India; Patel K., Karnavati University, India; Thirusha T.K., CHRIST University (Deemed), India; Shrivastava V.K., Alliance University, India; Kumar A.S., Jain University, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-166846895-1; 978-166846894-4
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Kannapiran T.; Patel K.; Thirusha T.K.; Shrivastava V.K.; Kumar A.S., “A modern approach of swarm intelligence analysis in big data: Methods, tools, and applications,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/18289.