2008•Unpublished venueRequires access

Some trends in Knowledge Discovery and Data Mining

Mykhaylo Lobur, Yu. Stekh, А. Kernytskyy, Faisal M.E. Sardieh

Open publisher page 2 citations

Abstract

This paper focuses on some trends in Knowledge Discovery and Data Mining in Databases. We consider links between data mining, knowledge discovery and artificial intelligence. We then define basic concepts of the KDD process.

About this research paper

What this paper is about

This paper focuses on some trends in Knowledge Discovery and Data Mining in Databases. We consider links between data mining, knowledge discovery and artificial intelligence. We then define basic concepts of the KDD process.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This paper focuses on some trends in Knowledge Discovery and Data Mining in Databases. We consider links between data mining, knowledge discovery and artificial intelligence. We then define basic concepts of the KDD process.

Key concepts: Knowledge extraction, Computer science, Software mining, K-optimal pattern discovery, Data science, Process (computing), Business process discovery, Data mining

Related papers

Back to paper searchBrowse research topicsOriginal source
Some trends in Knowledge Discovery and Data Mining — Research Paper | ScholarLens