Журнал компьютерных наук и системной биологии

Cross-domain Data Mining: Techniques and Applications for Knowledge Transfer and Generalization

Abstract

Simon Domaschka*

In the era of big data, the challenge of extracting meaningful insights and knowledge from various domains has never been more significant. Cross-domain data mining has emerged as a powerful approach to leverage knowledge from one domain and apply it to another. This research article explores the techniques and applications of CDDM, focusing on knowledge transfer and generalization across different domains. We delve into the methodologies and tools that enable the seamless flow of information between domains, fostering innovation, efficiency, and improved decision-making.