Title :
Classification data exploration methods in modern real-time data warehouse
Author :
Chapinski, J. ; Mazur, P. ; Murlewski, J. ; Kaminski, M. ; Sakowicz, B.
Author_Institution :
Dept. of Microelectron. & Comput. Sci., Tech. Univ. of Lodz, Lodz, Poland
Abstract :
The goal of this article is to introduce problems that may arise during analysis of classification methods used in data mining applications. In the following sections some of the most common classification techniques are described along with several proposed extensions which allow these methods to be used in incremental data warehouses. The primary focus was aimed at problem of performing incremental learning methods that may be used in near real-time data warehousing applications.
Keywords :
data handling; data mining; data warehouses; learning (artificial intelligence); classification data exploration method; data mining; incremental data warehouse; incremental learning method; modern real time data warehouse; Artificial neural networks; Classification algorithms; Classification tree analysis; Data mining; Data models; Learning systems; classification; data mining; data warehouse; decision trees; naive Bayes classifier; neural networks;
Conference_Titel :
Modern Problems of Radio Engineering, Telecommunications and Computer Science, 2008 Proceedings of International Conference on
Conference_Location :
Lviv-Slavsko
Print_ISBN :
978-966-553-678-9
