Informatologia, Vol. 39 No. 4, 2006.
Original scientific paper
Software solutions in marketing research for knowledge discovery in databases by fuzzy clustering
Brano Markić
Dražena Tomić
Abstract
Knowledge discovery in databases is the process of identifying nove, valid, useful and ultimately understandable patterns in data stored in databases. Data mining is only a step in this process in charge to find patterns or models in data. There are many data mining algorithms for clustering. Clustering is unsupervised classification, the process of grouping the data into classes so that the data objects (examples) are similar to one and other within the same cluster and dissimilar to the objects in other clusters. In the paper is developed a conceptual model and program solution for clustering data stored in subject oriented data warehouse. Data warehouse and mining algorithms are integrated and this integration has shown satisfactory implementation power.
Keywords
knowledge discovery; data mining; data warehouse; cluster algorithms
Hrčak ID:
9251
URI
Publication date:
23.12.2006.
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