The aim of this thesis is to implement a web interface for the LISp-Miner academic system which provides association rule mining capability. There is a new trend these days for knowledge discovery in databases applications which are being transformed from desktop applications to web applications and this arises both new opportunities and issues. This thesis describes new interactive approach for association rule mining in which the user is an essential part of the algorithm and can alter the task setting. Users can also collaborate by creating domain knowledge repository which helps finding new interesting information out of the data.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:165135 |
| Date | January 2011 |
| Creators | Škrabal, Radek |
| Contributors | Hazucha, Andrej, Kuchař, Jaroslav |
| Publisher | Vysoká škola ekonomická v Praze |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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