2010 | OriginalPaper | Chapter
Introduction
Author : Evangelos Triantaphyllou
Published in: Data Mining and Knowledge Discovery via Logic-Based Methods
Publisher: Springer US
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Data mining
sub data mining (definition of)
and knowledge discovery is a family of computational methods that aim at collecting and analyzing data related to the function of a system of interest for the purpose of gaining a better understanding of it. This system of interest might be artificial or natural. According to the Merriam-Webster online dictionary the term
sub system
system
is derived from the Greek terms
syn
(plus, with, along with, together, at the same time) and
istanai
(to cause to stand) and it means a complex entity which is comprised of other more elementary entities which in turn may be comprised of other even more elementary entities and so on. All these entities are somehow interconnected with each other and form a unified whole (the
system
). Thus, all these entities are related to each other and their collective operation is of interest to the analyst, hence the need to employ data mining and
sub data mining
sub knowledge discovery, see
data mining
knowledge discovery (DM&KD) methods. Some illustrative examples of various systems are given in the next section.