Open AccessCLASSIFICATION DATA EXPLORATION METHODS IN MODERN REALTIME DATA WAREHOUSE
Author(s) -
Jakub Chłapiński,
P.V. Mazur,
J. Murlewski,
Marek Kamiński,
B. Sakowicz
Publication year - 2014
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.7.1.483
Subject(s) - data warehouse , computer science , focus (optics) , data mining , online analytical processing , data science , machine learning , physics , optics
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 the problem of performing incremental learning methods that may be used in near realtime data warehousing applications.