Zusammenfassung
In order to determine how data mining techniques (DMT)
and their applications have developed, during the past
decade, this paper reviews data mining techniques and
their applications and development, through a survey of
literature and the classification of articles, from
2000 to 2011. Keyword indices and article abstracts
were used to identify 216 articles concerning \DMT\
applications, from 159 academic journals (retrieved
from five online databases), this paper surveys and
classifies DMT, with respect to the following three
areas: knowledge types, analysis types, and
architecture types, together with their applications in
different research and practical domains. A discussion
deals with the direction of any future developments in
\DMT\ methodologies and applications: (1) \DMT\ is
finding increasing applications in expertise
orientation and the development of applications for
\DMT\ is a problem-oriented domain. (2) It is
suggested that different social science methodologies,
such as psychology, cognitive science and human
behavior might implement DMT, as an alternative to the
methodologies already on offer. (3) The ability to
continually change and acquire new understanding is a
driving force for the application of \DMT\ and this
will allow many new future applications.
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