A Mathematical study of Discover The Exception Within The Rough set Framework Approach
Journal Title: International Journal of Physical and Social Sciences (IJPSS) - Year 2012, Vol 2, Issue 9
Abstract
The approach used by concept discovery and information re-engineering is flexible and dynamic in that the conceptual integration process can be frequent activity. As usage patterns are utilized to discover concepts further. The information reengineering approach presented here addresses the uniqueness of each user group and allows contextual interpretation of information using terminology that is initiated and preferred by different user groups. This strategy allows users to query and retrieve information at a conceptual level determined by the user seeking information. Concept discovery uses a discovery algorithm that can be classified as learning from observation, where database objects of legacy systems are classified into groups or clusters which can be described by a concept from a predefined concept class that is well understood within the application domain. In order to establish a cluster of objects, each object is characterized by a set of variables. The variables represent the metadata of the object and are good indicators of both structure and usage of the database object. Commonality in structure and usage pattern serves to establish similarity measures among objects that are clustered. The concept discovery algorithm partitions these objects into clusters using the values of the variable. The clusters thus formed are meaningful such that each cluster actually represents a concept common to the legacy systems in the application domain. The set of application specific generic concepts discovered in this way provides a domain abstraction and constitutes the reconstructed conceptual schema that can support interoperability among the databases or information systems whose objects were clustered. This conceptual schema provides a wrapping service and serves as the middle layer to facilitates information retrieval from heterogeneous databases.
Authors and Affiliations
Om Prakash Gera
Keywords
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