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