Abstract
We have been developing a system called GLS (Global Learning Scheme) for knowledge discovery in databases. The development of GLS has two main aspects. The first is to develop a multistrategy system. That is, many kinds of discovery/learning methods are integratedly used in multiple learning phases for performing multi-aspect intelligent data analysis as well as multi-level conceptual abstraction and learning. As a multi-strategy system, GLS is implemented as a toolkit that is composed of several sub-systems and optional parts with multi-level structure. We have finished main parts belong to this aspect, and have undertaken another aspect, i.e., extending GLS into a multiagents, distributing and cooperating discovery system. We try to increase autonomy of discovery process by increasing the number of discovery steps in succession performed in both the centralized and distributed cooperative mode. This paper briefly describes the GLS system: its goal, architecture and initial implementation, and discusses further research directions.
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© 1994 Springer-Verlag Berlin Heidelberg
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Zhong, N., Ohsuga, S. (1994). The GLS discovery system: Its goal, architecture and current results. In: Raś, Z.W., Zemankova, M. (eds) Methodologies for Intelligent Systems. ISMIS 1994. Lecture Notes in Computer Science, vol 869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58495-1_24
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DOI: https://doi.org/10.1007/3-540-58495-1_24
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