Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/11915
Title: | CRISP-DM as a framework for discovering knowledge in small and medium sized enterprises' data | Authors: | Bošnjak, Zita Grljević, Olivera Bošnjak, Saša |
Issue Date: | 27-Oct-2009 | Journal: | Proceedings - 2009 5th International Symposium on Applied Computational Intelligence and Informatics, SACI 2009 | Abstract: | Discovering knowledge from a waste amount of data has become a promising area nowadays, but at the same time it is a very intricate, uncertain and time consuming process. The complexity of a data collection, the oscillations in data quality and their impact on the discovery process, as well as the applicability of results, urge for an extensive research and gain of experience to overcome the difficulties that can jeopardize the knowledge in data discovery (KDD) process as a whole. In this article we described the limitations and challenges of discovering knowledge, that we have experienced analyzing small and medium sized enterprises' (SMEs) data. ©2009 IEEE. | URI: | https://open.uns.ac.rs/handle/123456789/11915 | ISBN: | 9781424444786 | DOI: | 10.1109/SACI.2009.5136302 |
Appears in Collections: | EF Publikacije/Publications |
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