An Integrative Framework for Continuous Knowledge Discovery

Abstract

With the growth in the amount of data generated and collected, the need for automatically analyzing the data has received more and more attention from the business community in recent times. It requires some theoretical considerations, which are well understood and popularized throughout the community. The traditional dominant KDD process model offers valuable guidance on the projectedmanagement oriented stages, with no formal foundation to provide guidance in the crucial issue of business understanding, model selection and known knowledge integration. An integrative framework for continuous knowledge discovery process is proposed in evolving environment, and a DIKW (datainformation-knowledge-wisdom) conceptual hierarchy to characterize the process operation features and interrelations is discussed. As the theoretical basis, the main notions used in the process model are represented formally, in linear temporal logic.