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1.1 Knowledge Discovery In literature we can ﬁnd different deﬁnitions of the terms knowledge discovery
or knowledge discovery in databases (KDD) and data mining. In order to
distinguish data mining from KDD we deﬁne KDD according to Fayyad as
follows (Fayyad et al. 1996):
Knowledge Discovery in Databases (KDD) is the non-trivial process of identifying valid, novel, potentially useful, and ultimately
understandable patterns in data.
The analysis of data in KDD aims at ﬁnding hidden patterns and connections
in these data. By data we understand a quantity of facts, which can be, for
instance, data in a database, but also data in a simple text ﬁle. Characteristics
that can be used to measure the quality of the patterns found in the data are the
comprehensibility for humans, validity in the context of given statistic measures,
novelty and usefulness. Furthermore, different methods are able to discover not
only new patterns but to produce at the same time generaliz...
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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