Swarm Intelligence in Data Science: Challenges, Opportunities and Applications

The Swarm Intelligence (SI) algorithms have been useful in solving multifaceted optimization problems. SI Algorithms as the name suggests work on the simulation principle of behaviour of biological swarms. Today, there is lot of advancement in the field of Data Science; which comprises of large amou...

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Bibliographic Details
Published in:Procedia computer science 2022, Vol.215, p.104-111
Main Authors: Chopra, Deepti, Arora, Praveen
Format: Article
Language:English
Subjects:
Artificial Intelligence
Data Science
Evolutionary computation
Swarm Intelligence
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Summary:The Swarm Intelligence (SI) algorithms have been useful in solving multifaceted optimization problems. SI Algorithms as the name suggests work on the simulation principle of behaviour of biological swarms. Today, there is lot of advancement in the field of Data Science; which comprises of large amount of Big Data that needs to managed as well as analysed. Traditional methods may only be applied to differentiable and continuous functions. For population-based approaches, Swarm Intelligence proves to be effective and efficient. In order to have better insight into applications of SI Algorithms in Data Science, and to accumulate a further reference for the future researchers in this field, this paper discusses scope of Swarm Intelligence in Data Science. On the basis of existing work; the following paper also focusses on the Challenges and Opportunities of SI in Data Science and also encourage to design more efficient algorithms in future that is capable to solve Data Science related problems in real world.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2022.12.012