DISCOVERING KNOWLEDGE USING DATA MINING

Markusoski, Ljupce and Jovanoska, Aleksandra (2017) DISCOVERING KNOWLEDGE USING DATA MINING. INTERNATIONAL CONFERENCE RUSSE. pp. 45-52. ISSN 978-629-208-177-0

Text Paper Ljupce Markusheski and Aleksandra Jovanoska Russe.doc Download (86kB)

Abstract

Data mining is a tool used in searching and extracting useful information from data. Data mining is used in processes that are called knowledge discovery in databases (KDD). All activities of KDD are performed automatically and allow rapid detection of data, which can make people who are not programmers. The data usually buried deep in large databases, data warehouses, text documents that besides them there may be information and knowledge collected over many years.
“Data mining is the process of discovering the unknown information about the observed economic phenomena and processes hidden in statistical data for companies. Thus used mainly heuristic methods and techniques of statistical data in order to automatically detect the causes. In that sense, the quantity and quality of available statistics and information, in turn, determine the value of the browser application. “
Methods of Artificial Intelligence represent useful data mining tools which include automatic extraction from other sources. Intelligent data mining reveals information from databases and repositories of data, which can be drawn by means of questionnaires and reports. Data mining tools innovate schemes in the data, which can discern the rules of them. Schemes and rules may be used as specific direction of decision-making in carrying out prediction of the effects of them.

Keywords: knowledge, data mining, decision-making, databases .

Item Type:	Article
Subjects:	Scientific Fields (Frascati) > Social Sciences > Economics and Business
Divisions:	Faculty of Economics
Depositing User:	Mr Dimitar Risteski
Date Deposited:	02 Mar 2020 07:51
Last Modified:	02 Mar 2020 07:51
URI:	https://eprints.uklo.edu.mk/id/eprint/3695

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• DISCOVERING KNOWLEDGE USING DATA MINING. (deposited 23 Dec 2019 10:28)
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