◤KDD procedures – SDKL-Miner◢
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Milan Šimůnek, Jan Rauch
Jan Rauch (theory), Milan Šimůnek (software), Martin Kejkula (help)
Data mining procedure SDKL-Miner mines for patterns of the form R ~ C / (α, β, Cond). Here R and C are categorial attributes, the attribute R has categories r_{1}, …, r_{K}, the attribute C has categories c_{1}, …, c_{L}. Further, α, β and Cond are Boolean attributes.
The procedure deals with data matrices. The attributes R and C correspond to columns of the analysed data matrix. Boolean attributes α, β and Cond are derived from the other columns of the data matrix.
The intuitive meaning of the pattern R ~ C / (α, β, Cond) is that the relation of attributes R and C in set a differs from the relation of attributes R and C in set β when the condition given by the Boolean attribute Cond is satisfied.
The symbol ~ is called SDKL-quantifier. It corresponds to a condition imposed on two contingency tables of R and C. The pattern R ~ C / (α, β, Cond) is verified such that this condition is applied on the contingency tables of R and C in data matrices M/α/Cond and M/β/Cond.
Here M is the analysed data matrix and M/α is a data matrix consisting of all rows of data matrix M given by the Boolean attribute α. Further, M/α/Cond is a data matrix consisting of all rows of M/ α satisfying the condition Cond. Let us remark that M/α/Cond can be understood as M/(α ∧ Cond). Analogously for M/β/Cond.
LISp-Miner.Core.OldUI.zip | 33.45 MB | August 13, 2014 |
Legacy LISp-Miner system core files separated into modules for each GUHA procedure. Contains also other legacy modules LMAdmin and LMDataSource. |
The procedure SDKL-Miner was suggested by J. Rauch in 2003. Reason was the necessity to mine for patterns of the form R ~ C / (α, β, Cond). The second reason was the possibility to use the software tools for dealing with strings of bits developed for the 4ft-Miner procedure. The suggestion was published in [RS 04].
The first version of the procedure with set of simple SDKL-quantifiers was implemented by M. Šimůnek.
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