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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).
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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.
- Summer '11