This diploma thesis concerns with features and abilities of chosen software tools for data mining. An important part is the selection and evaluation of each criteria by which the comparison of tools is done. The basic issues of data mining and machine learning are determined here. The comparison criteria are chosen with consideration of the necessary operations that are required to realize the whole process of data mining. The criteria are evaluated on the same level of importance, without weighting. The most widely used algorithms for data mining are chosen for the comparison of time and memory demandingness. The result is the description of selected tools based on the comparison criteria and evaluation of these criteria. The comparison results must be understood with respect of testing data, chosen hardware, and the fact that no weighting was used.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:176989 |
| Date | January 2014 |
| Creators | Ondrejka, Petr |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
Page generated in 0.002 seconds