<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Data mining is relatively new in data analysis. It is a process that is used to explore and analyze large quantities of data in order to discover meaningful patterns or rules by automatic or semi-automatic means. Currently information-rich sectors benefit from this and most significant and hence profitable applications are in marketing. Data mining is introduced in this article. Some important applications are discussed and common techniques described. A small application in agricultural research is illustrated and current status of data mining discussed.
Knowledge discovery, Statistics, Applications, Data analysis, Data mining
Knowledge discovery, Statistics, Applications, Data analysis, Data mining
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |