Abstract of Paper


Data Mining Extension for Object-oriented Query Language
by Vladimir Novacek

Abstract:

Knowledge discovery in databases (KDD) and data mining became very
important in data processing and analysing. The combination of
powerful KDD and data mining techniques and sophisticated resources of
object-oriented database systems brings even more considerable
results. But these emerging tools and techniques require a powerful
data mining query language which would serve as an interface between
applications and data mining tools. This motivates us to propose
general conditions and instruments for extending object-oriented query
language (OOQL) with the ability of data mining. These instruments
will be introduced in two examples of an object-oriented data mining
query language, ODAMIL, an extension of Object Comprehensions
language, and DMOQL, an extension of OQL language proposed by the
ODMG.

Key-words
Data mining, knowledge discovery in databases, query language,
object-oriented database