Autors: Zubi,Z.S.
Title: I-Extended Databases
Keywords: Data Mining, Inductive Database, Query Optimization, Knowled

Abstract: Our approach for efficiently handle very large databases is to specify and query i-extended databases,which are databases that in addition to data also contain exceedingly defined generalizations about the data.I-extended database is a database that has similar properties then an inductive database[6] in certain scene and it could be also an alternative to inductive database.I formalize this concept and show how it can be use throughout the whole process of DM due to the closure property of the framework.Suppose that a simple query language can be defined using normal database terminology.I also demonstrate the use of this framework to model typical DM processes.It is then possible to perform various tasks on these descriptions like.The main aim of implementing i-extended database is to be interacted by a spatial Data Mining query called Knowledge Discovery Query Language described in[21].The KDQL was demonstrated and introduced as a query in the ODBC_KDD (2) model in [22].

References

    Issue

    10th WSEAS International Conference on MATHEMATICAL METHODS AND COMPUTATIONAL TECHNIQUES IN ELECTRICAL ENGINEERING (MMACTEE'08), pp. 126-137, 2008, Bulgaria,

    Вид: публикация в национален форум