文件名称:FP-GROWTH
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- 上传时间:2012-11-16
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文件大小:161.61kb
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Apriori算法是发现关联规则领域的经典算法。该算法将发现关联规则的过程分为两个步骤:第一步通过迭代,检索出事务数据库中的所有频繁项集,即支持度不低于用户设定的阈值的项集;第二步利用频繁项集构造出满足用户最小信任度的规则-Apriori association rules algorithm is found in the field of classical algorithms. The algorithm will find the process of association rules is divided into two steps: first, through iteration, retrieve a transaction database of all the frequent itemsets, that is, support for no less than user-set threshold itemset the second step use of frequent itemsets constructed to meet the users trust in the rules of the smallest
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下载文件列表
fpgrowth/src/fpgrowth.dsp
fpgrowth/src/fpgrowth.dsw
fpgrowth/src/fpgrowth.mak
fpgrowth/src/makefile
fpgrowth/src/fpgrowth.c
fpgrowth/src/fptree.c
fpgrowth/src/fptree.h
fpgrowth/src/fpgrowth.ncb
fpgrowth/src/fpgrowth.plg
fpgrowth/src/Debug
fpgrowth/src/fpgrowth.opt
fpgrowth/src
fpgrowth/ex/row2set
fpgrowth/ex/tab2set
fpgrowth/ex/tid2set
fpgrowth/ex/flg2set
fpgrowth/ex/hdr2set
fpgrowth/ex/readme
fpgrowth/ex/test1.tab
fpgrowth/ex/test2.tab
fpgrowth/ex/test3.tab
fpgrowth/ex/test4.tab
fpgrowth/ex/test5.tab
fpgrowth/ex
fpgrowth/doc/copying
fpgrowth/doc/readme
fpgrowth/doc
fpgrowth
util/src/vecops.c
util/src/vecops.h
util/src/params.c
util/src/params.h
util/src/makefile
util/src/tfscan.c
util/src/tfscan.h
util/src/symtab.c
util/src/symtab.h
util/src/scan.c
util/src/scan.h
util/src/listops.c
util/src/listops.h
util/src/nstats.c
util/src/nstats.h
util/src/parse.c
util/src/parse.h
util/src/util.mak
util/src/memsys.c
util/src/memsys.h
util/src
util/doc/copying
util/doc
util
apriori/src/makefile
apriori/src/apriori.c
apriori/src/tract.c
apriori/src/tract.h
apriori/src/apriori.dsp
apriori/src/apriori.dsw
apriori/src/apriori.mak
apriori/src/istree.c
apriori/src/istree.h
apriori/src/apriori.ncb
apriori/src/apriori.plg
apriori/src/Debug
apriori/src/apriori.opt
apriori/src
apriori/ex/row2set
apriori/ex/tab2set
apriori/ex/test.app
apriori/ex/test.rul
apriori/ex/rulesort
apriori/ex/tid2set
apriori/ex/flg2set
apriori/ex/hdr2set
apriori/ex/readme
apriori/ex/test1.tab
apriori/ex/test2.tab
apriori/ex/test3.tab
apriori/ex/test4.tab
apriori/ex/test5.tab
apriori/ex/xhdr2set
apriori/ex
apriori/doc/copying
apriori/doc/c_rev.gp
apriori/doc/chi2.tex
apriori/doc/apriori.html
apriori/doc/uparrow.gif
apriori/doc/arem.gp
apriori/doc/line.gif
apriori/doc
apriori
fpgrowth/src/fpgrowth.dsw
fpgrowth/src/fpgrowth.mak
fpgrowth/src/makefile
fpgrowth/src/fpgrowth.c
fpgrowth/src/fptree.c
fpgrowth/src/fptree.h
fpgrowth/src/fpgrowth.ncb
fpgrowth/src/fpgrowth.plg
fpgrowth/src/Debug
fpgrowth/src/fpgrowth.opt
fpgrowth/src
fpgrowth/ex/row2set
fpgrowth/ex/tab2set
fpgrowth/ex/tid2set
fpgrowth/ex/flg2set
fpgrowth/ex/hdr2set
fpgrowth/ex/readme
fpgrowth/ex/test1.tab
fpgrowth/ex/test2.tab
fpgrowth/ex/test3.tab
fpgrowth/ex/test4.tab
fpgrowth/ex/test5.tab
fpgrowth/ex
fpgrowth/doc/copying
fpgrowth/doc/readme
fpgrowth/doc
fpgrowth
util/src/vecops.c
util/src/vecops.h
util/src/params.c
util/src/params.h
util/src/makefile
util/src/tfscan.c
util/src/tfscan.h
util/src/symtab.c
util/src/symtab.h
util/src/scan.c
util/src/scan.h
util/src/listops.c
util/src/listops.h
util/src/nstats.c
util/src/nstats.h
util/src/parse.c
util/src/parse.h
util/src/util.mak
util/src/memsys.c
util/src/memsys.h
util/src
util/doc/copying
util/doc
util
apriori/src/makefile
apriori/src/apriori.c
apriori/src/tract.c
apriori/src/tract.h
apriori/src/apriori.dsp
apriori/src/apriori.dsw
apriori/src/apriori.mak
apriori/src/istree.c
apriori/src/istree.h
apriori/src/apriori.ncb
apriori/src/apriori.plg
apriori/src/Debug
apriori/src/apriori.opt
apriori/src
apriori/ex/row2set
apriori/ex/tab2set
apriori/ex/test.app
apriori/ex/test.rul
apriori/ex/rulesort
apriori/ex/tid2set
apriori/ex/flg2set
apriori/ex/hdr2set
apriori/ex/readme
apriori/ex/test1.tab
apriori/ex/test2.tab
apriori/ex/test3.tab
apriori/ex/test4.tab
apriori/ex/test5.tab
apriori/ex/xhdr2set
apriori/ex
apriori/doc/copying
apriori/doc/c_rev.gp
apriori/doc/chi2.tex
apriori/doc/apriori.html
apriori/doc/uparrow.gif
apriori/doc/arem.gp
apriori/doc/line.gif
apriori/doc
apriori
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