Advances in Data Mining: History and Future

Abstract

The Data Mining field proposes the development of methods and techniques for assigning useful meanings for data stored in databases. It gathers researches from many study fields like machine learning, pattern recognition, databases, statistics, artificial intelligence, knowledge acquisition for expert systems, data visualization and grids. Data Mining represents a set of specific algorithms of finding useful meanings in stored data. This paper aims to point the most important steps that were made in the data mining field of study in recent years and to show how the overall process of discovering can be improved in the future.