Overview of the Guha method as a data mining technique
Date Issued
2010
Author(s)
Todorovski, Viktor
Abstract
This paper is concerned with current applications and
researches of GUHA, a method for hypothesis generation.
The GUHA method is very promising in the field of
association rules data mining. Some of the current software
implementations of the GUHA procedures offer simple
mechanism of integration with BI processes, especially where
large data sets are being processed. To use data for
processing, it must first be pre-processed or aggregated and
after that, as a data set to be used by the implementations of
the GUHA procedures. The most preferred processing data
representation are bit string cards of categories, mainly
because logical operations can be easily performed on such
representation of data. Since GUHA has a significant
statistical and logical background it is taken as very relevant
in positive and negative association rules mining, and also in
interesting hypothesis discovery.
researches of GUHA, a method for hypothesis generation.
The GUHA method is very promising in the field of
association rules data mining. Some of the current software
implementations of the GUHA procedures offer simple
mechanism of integration with BI processes, especially where
large data sets are being processed. To use data for
processing, it must first be pre-processed or aggregated and
after that, as a data set to be used by the implementations of
the GUHA procedures. The most preferred processing data
representation are bit string cards of categories, mainly
because logical operations can be easily performed on such
representation of data. Since GUHA has a significant
statistical and logical background it is taken as very relevant
in positive and negative association rules mining, and also in
interesting hypothesis discovery.
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