KDD Support Services Based on Data Semantics
| Title | KDD Support Services Based on Data Semantics |
| Publication Type | Book Chapter |
| Year of Publication | 2005 |
| Authors | Diamantini C, Potena, D, Panti, M |
| Book Title | LECTURE NOTES IN COMPUTER SCIENCE |
| Edition | LNCS 3730 |
| Pagination | 280 - 303 |
| Publisher | SPRINGER VERLAG GERMANY:TIERGARTENSTRASSE 17, D 69121 HEIDELBERG GERMANY:011 49 6221 3450, EMAIL: G.BRAUN@SPRINGER.DE, INTERNET: HTTP://WWW.SPRINGER.DE, FAX: 011 49 6221 345229 |
| Abstract | The identification of valid, novel and interesting models from large volumes of data is the primary goal of Knowledge Discovery in Databases (KDD). In order to successfully achieve such a complex goal, many kinds of semantic information about the KDD and business domains is necessary. In this paper, we present an approach to the characterization of semantic domain information for a particular kind of KDD process: classification. In particular we show how, by estimating the properties of the true but unknown classification model, one can derive domain information on the classification problem at hand. We discuss how, by saving these properties with the data, users profit from this information and save time for experimenting with a lot of classifiers and parameters by accessing this knowledge. |