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rules. For the second task, we provide a formal definition and an interpretation of
OLAP operations for exploratory data mining by redefining key OLAP operations
in the framework of concept lattices using three operations: selection, projection,
and assembly of lattices.
The chapter is organized as follows. First, an illustrative example about corporate
governance quality in Canadian organizations is described in the next section and
will serve to show the potential of the proposed solution. We then provide some
background about data warehousing and data mining techniques and give an overview
of related work. Our efforts towards the integration of the two technologies
are described later, followed by a conclusion and further work.
A.Running.Example
The present running example will be used throughout this chapter to illustrate our
solution towards the integration of DM and DW technologies. It is based on a study
conducted on a sample of 216 Canadian companies listed on the Stock Market and
aimed at establishing links between corporate governance practices and other variables
such as the shareholding structure. In the context of this study, governance
is defined as the means, practices and mechanisms put in place by organizations to
ensure that managers are defending shareholders??™ interests.
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