Dr. Carynthia Kharkongor

Research Statement

My current research focuses on data mining and association rule mining, creating scalable and interpretable algorithms to reveal important patterns from extensive and complex datasets. I have utilized these techniques in diverse areas uncovering concealed patterns and connections that support informed decision making. My future research aims to explore the integration of data mining techniques with artificial intelligence to develop smarter, adaptive, and interpretable artificial intelligence systems. By leveraging association rules, pattern discovery, artificial intelligence systems can gain a deeper understanding of complex datasets, enabling knowledge-driven decision-making and automated reasoning. The focus will be on enhancing the efficiency, scalability, and interpretability of data mining algorithms while addressing challenges posed by dynamic, heterogeneous, and high-dimensional data, so they can be effectively used as foundational building blocks for AI models.

This future direction includes applying these techniques to dynamic, real-world datasets, where artificial intelligence systems can benefit from data-driven insights to improve prediction, reasoning, and decision-making. By combining data mining with artificial intelligence, it becomes possible to uncover higher-order patterns, temporal dependencies, and complex relationships, enabling artificial intelligence systems to act on actionable knowledge rather than just raw data.

Teaching Areas

Data Mining and Knowledge Discovery
Database Management Systems
Data Structures and Algorithms
Programming for Data Analytics

Areas of Interest

Data Mining and Association Rule Mining
Knowledge Discovery and Pattern Recognition
Decision Support Systems

Membership Details

Member of Computer Society of India (CSI), Membership ID: 2021260001.