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Unformatted text preview: elations to three of the addressed research areas: Databases, machine learning and statistics. Databases are necessary in order to analyze large quantities of data efficiently. In this connection, a database represents not only the medium for consistent storing and accessing, but moves in the closer interest of research, since the analysis of the data with data mining algorithms can be supported by databases and thus the use of database technology in the data mining process might be useful. An overview of data mining from the database perspective can be found in Chen et al. (1996). Machine Learning (ML) is an area of artificial intelligence concerned with the development of techniques which allow computers to "learn" by the analysis of data sets. The focus of most machine learning methods is on symbolic data. ML is also concerned with the algorithmic complexity of computational implementations. Mitchell presents many of the commonly used ML methods in Mitchell (1997). Statist...
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This note was uploaded on 06/19/2011 for the course IT 2258 taught by Professor Aymenali during the Summer '11 term at Abu Dhabi University.

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