Title

Using agents for unification of information extraction and data mining

Abstract/Description

Early work for unification of information extraction and data mining is motivational and problem stated work. This paper proposes a solution framework for unification using intelligent agents. A Relation manager agent extracted feature with cross feedback approach and also provide a Unified Undirected graphical handle. An RPM agent an approach to minimize loop back proposes pooling and model utilization with common parameter for both text and entity level abstractions.

Location

Crystal Ball Room A, Hotel Pearl Continental, Karachi, Pakistan

Session Theme

Database and Warehousing [DB-DW]

Session Type

Other

Session Chair

Dr. Beatriz De La Iglesia

Start Date

27-8-2005 3:35 PM

End Date

27-8-2005 3:55 PM

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Aug 27th, 3:35 PM Aug 27th, 3:55 PM

Using agents for unification of information extraction and data mining

Crystal Ball Room A, Hotel Pearl Continental, Karachi, Pakistan

Early work for unification of information extraction and data mining is motivational and problem stated work. This paper proposes a solution framework for unification using intelligent agents. A Relation manager agent extracted feature with cross feedback approach and also provide a Unified Undirected graphical handle. An RPM agent an approach to minimize loop back proposes pooling and model utilization with common parameter for both text and entity level abstractions.