Datizrace ORACLE vidē
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Latvijas Universitāte
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Abstract
Bakalaura darbā tiek apskatīts datizraces process, kā arī sniegts ieskats par galvenajiem datizraces procesa soļu – datu atlases, datu pirmapstrādes, modeļa izvēles, modeļa novērtējuma – uzdevumiem. Tāpat darbā tiek apskatītas Oracle datizrace (Oracle Data Mining) tehnoloģijas piedāvātās iespējas datizraces veikšanai – atbalstītie algoritmi, izvēlēto modeļu plusi un mīnusi.
In the bachelor the process of data mining is described, as well given brief view of main tasks for data mining steps – data selection, data preprocessing, model choice, model evaluation. Also in this paperwork offered possibilities – supported algorithms, pros and cons for chosen models – for data mining processing with Oracle Data Mining technology are considered.
In the bachelor the process of data mining is described, as well given brief view of main tasks for data mining steps – data selection, data preprocessing, model choice, model evaluation. Also in this paperwork offered possibilities – supported algorithms, pros and cons for chosen models – for data mining processing with Oracle Data Mining technology are considered.