文件名称:ndi1
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关联规则4
NDI (Download)
This implementation is based on the NDI algorithm (Calders and Goethals, 2002).
Several optimizations have been added, such as a fast algorithm for the inclusion-exclusion (see Calders and Goethals, KDID 2005).
The tar-ball contains the original breadth-first implementation, but also a depth-first implementation of the basic NDI algorithm (Calders and Goethals, SDM 2005). Note, however, that this depth-first implementation does not use the generalized diffsets as described in the latter paper.
-association rules four NDI (Download) This implementation is based on the NDI algorithm (Calders and Goeth als. 2002). Several optimizations have been added, such as a fast algorithm for the inclusion- excl. usion (see Calders and Goethals. KDID 2005). The tar-ball contains the original breadth- first implementation, but also a depth-first implementation of the ba sic NDI algorithm (Calders and Goethals. SDM 2005). Note, however, that this depth-first implementation does not use the generalized diffsets as described in th e latter paper.
NDI (Download)
This implementation is based on the NDI algorithm (Calders and Goethals, 2002).
Several optimizations have been added, such as a fast algorithm for the inclusion-exclusion (see Calders and Goethals, KDID 2005).
The tar-ball contains the original breadth-first implementation, but also a depth-first implementation of the basic NDI algorithm (Calders and Goethals, SDM 2005). Note, however, that this depth-first implementation does not use the generalized diffsets as described in the latter paper.
-association rules four NDI (Download) This implementation is based on the NDI algorithm (Calders and Goeth als. 2002). Several optimizations have been added, such as a fast algorithm for the inclusion- excl. usion (see Calders and Goethals. KDID 2005). The tar-ball contains the original breadth- first implementation, but also a depth-first implementation of the ba sic NDI algorithm (Calders and Goethals. SDM 2005). Note, however, that this depth-first implementation does not use the generalized diffsets as described in th e latter paper.
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ndi
...\bf
...\..\data.cpp
...\..\data.h
...\..\item.cpp
...\..\item.h
...\..\Makefile
...\..\ndi.cpp
...\..\ndi.h
...\..\nditest.cpp
...\..\qie.cpp
...\df
...\..\data.cpp
...\..\data.h
...\..\item.h
...\..\Makefile
...\..\ndi.cpp
...\..\ndi.h
...\..\qie.cpp
...\..\testndi.cpp
...\bf
...\..\data.cpp
...\..\data.h
...\..\item.cpp
...\..\item.h
...\..\Makefile
...\..\ndi.cpp
...\..\ndi.h
...\..\nditest.cpp
...\..\qie.cpp
...\df
...\..\data.cpp
...\..\data.h
...\..\item.h
...\..\Makefile
...\..\ndi.cpp
...\..\ndi.h
...\..\qie.cpp
...\..\testndi.cpp