Securing the Future: The Role of Knowledge Discovery Frameworks

Knowledge society differentiates between information and knowledge, with a focus on generating, processing, transforming, and using information to create and apply knowledge. Within this context, knowledge acquisition and creation take precedence over the mere generation and consumption of information. Information technology and intelligent software systems play a crucial role in ensuring the efficiency of knowledge discovery, aligning with the knowledge society’s constant pursuit of innovation. The extraction of knowledge from dta increasingly relies on the incorporation of machine learning algorithms and artificial intelligence techniques, prompting a growing need for knowledge discovery frameworks that address escalating security concerns. In the realm of businesses and organizations aiming to offer comprehensive services and make data-driven decisions, the extraction of knowledge from intelligent systems becomes imperative. This goal is attainable by integrating knowledge discovery capabilities, thus facilitating the development of intelligent systems with knowledge discovery competence. This research introduces a meta level conceptual framework that empowers organizations looking to develop knowledge discovery systems, fostering knowledge discovery and simplifying the development of intelligent systems endowed with knowledge discovery capabilities.