 How to Exploit Data Mining Without Becoming Aware of itN. Ciaramella () and
A. Albano ()
A chapter in Information Systems: People, Organizations, Institutions, and Technologies, 2009, pp 203-210 from Springer Abstract: Abstract Data mining has proved to be a valuable tool in discovering non-obvious information from a large collection of data, however in the business world is not as widely used as it could be. Common reasons include the following: (1) Data mining process requires an unbounded rationality; (2) potential end users may not be available to inform developers on what problems they are interested in or what their requirements might be; (3) high costs in the use of dating mining experts; (4) the actual result of data mining may be irrelevant or simply cannot be used. The paper presents a methodology and a system to facilitate the use of data mining in business contexts using the following approach: many models are automatically generated and stored in a database; when the end users specify some features of the model they are looking for, a search engine then retrieves any relevant models. Keywords: Data Mining; Association Rule; Domain Reference; Data Mining Process; Data Mining Model (search for similar items in EconPapers) There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2148-2_24 Ordering information: This item can be ordered from DOI: 10.1007/978-3-7908-2148-2_24 Access Statistics for this chapter More chapters in Springer Books from Springer |
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