Mallika De
Papers
1
Total Citations
4
H-Index
1
About
Dr. Mallika De is a researcher whose work lies at the intersection of swarm intelligence, metaheuristic optimization, and knowledge discovery in data mining. Her most-cited paper, "An effort to select a preferable metaheuristic model for knowledge discovery in data mining" (2015), systematically evaluates swarm intelligence algorithms for their effectiveness in extracting meaningful patterns from complex datasets. This contribution is particularly valuable as it provides a comparative framework for selecting optimal metaheuristic models—a critical step for improving decision-making in fields ranging from engineering to business analytics. With 4 citations, this work has influenced subsequent studies on algorithm selection and performance benchmarking. Dr. De’s research underscores the growing potential of swarm-based computation in data-driven problem-solving, helping to bridge the gap between theoretical optimization and practical data mining applications. Her efforts contribute to a deeper understanding of how nature-inspired algorithms can enhance predictive modeling and knowledge extraction, making her a notable voice in the evolving landscape of computational intelligence and data science.
Research Focus
Key Achievements
Top Papers
- 1