Abstract
Data mining, a pivotal element of knowledge engineering, has undergone significant transformations with the advent of advanced computational techniques. This paper delves into the integration of contemporary data mining methodologies within knowledge engineering frameworks. Emphasizing the synergy between data mining and knowledge management, we explore various algorithms, including clustering, classification, and association rule mining, to enhance decision-making processes. By leveraging big data and machine learning, we demonstrate how these systems can evolve to meet the growing demands of complex data environments. Through comprehensive case studies and practical implementations, we illustrate the transformative potential of advanced data mining techniques in fostering innovative knowledge engineering solutions.
Keywords: Data Mining, Knowledge Engineering, Machine Learning, Big Data, Decision-Making
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