CLASSIFICATION DATA EXPLORATION METHODS IN MODERN REALTIME DATA WAREHOUSE | Zendy

Jakub Chłapiński | Zendy; Piotr Mazur | Zendy; J. Murlewski | Zendy; Marek Kamiński | Zendy; Bartosz Sakowicz | Zendy

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CLASSIFICATION DATA EXPLORATION METHODS IN MODERN REALTIME DATA WAREHOUSE

Author(s) -

Jakub Chłapiński,

Piotr Mazur,

J. Murlewski,

Marek Kamiński,

Bartosz Sakowicz

Publication year - 2014

Publication title -

international journal of 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.

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