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: (a) Data mining process requires an unbounded rationality; (b) potential end users may not be available to inform developers on what problems they are interested in having solved or what their requirements might be; (c) high costs in the use of dating mining experts; (d) 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.
How to exploit data mining without becoming aware of it
ALBANO, ANTONIO
2010-01-01
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: (a) Data mining process requires an unbounded rationality; (b) potential end users may not be available to inform developers on what problems they are interested in having solved or what their requirements might be; (c) high costs in the use of dating mining experts; (d) 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
