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ICEIS 2003 Abstracts |
| 505 poster C2 |
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| Title: |
AN APPROACH OF DATA MINING USING MONOTONE SYSTEMS |
| Author(s): |
Rein Kuusik, Grete Lind |
| Abstract: |
This paper treats data-mining as a part of the process called
knowledge discovery in databases (KDD in short), which consists of particular data mining
algorithms and, under some acceptable computational efficiency limitations, produces a
particular enumeration of patterns. Pattern is an expression (in a certain language)
describing facts in a subset of facts. The data-mining step is one of the most implemented
steps of the whole KDD process. Also the KDD process involves preparing data for analysis
and interpreting results found in data mining step. The main approach to data mining and
its main disadvantage is shown and new method, called generator of hypotheses, and its
base algorithm MONSA is presented. |
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