Databases Reference
In-Depth Information
Chapter 1
THEORETICAL FOUNDATIONS OF KNOWLEDGE
MINING AND INTELLIGENT AGENT
S. DEHURI and S.-B. CHO
Department of Information and Communication Technology,
Fakir Mohan University, Vyasa Vihar Campus,
Balasore 756019, Orissa, India
satchi.lapa@gmail.com
Department of Computer Science,
Yonsei University, 262 Seongsanno, Seodaemun-gu,
Seoul 120-749, South Korea
sbcho@yonsei.ac.kr
Studying the behaviour of intelligent agents and deploy in various domain of
interest with gamut of data to extract domain specific knowledge is recently
attracting more and more number of researchers. In this chapter, we will
summarize a few fundamental aspects of knowledge mining, the fundamental
tasks of knowledge mining from databases (KMD) and a few well developed
intelligent agents methodologies.
1.1. Knowledge and Agent
The definition of knowledge is a matter of on-going debate among
philosophers in the field of epistemology. However, the following definition
of knowledge can give a direction towards the goal of the chapter.
Definition:
Knowledge is defined as i) an expertise, and skills acquired
by a person through experience or education; the theoretical and practical
understanding of a subject, ii) what is known in a particular field or in total;
facts and information or iii) awareness or familiarity gained by experience
of a fact or a situation.
The above definition is a classical and general one, which is not directly
used in this chapter/book. Given the above notion we may state our
definition of knowledge as viewed from the narrow perspective of knowledge
mining from databases as used in this topic. The purpose of this definition
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