Home » Source Code » FIM mining spark parallelization (aPriori,p_growth)

FIM mining spark parallelization (aPriori,p_growth)

HFheck
2015-01-09 01:27:29
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算法算法 JavaJava

Description

Frequent itemset mining algorithm of mining parallel using spark (aPriori algorithm for parallel and parallel algorithm for   fp_growth b). APriori algorithm written by Scala in parallel, parallel fpgrowth written with Java. There may have more functions to make programming content.                                                                                                                                                                                                                
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File list

Tips: You can preview the content of files by clicking file names^_^
Name Size Date
cmd.txt430.00 B31-12-14 15:08
spark-Papriori-in-scala.jar42.28 kB02-01-15 22:25
spark-pfp-in-java.jar24.64 kB02-01-15 22:19
.classpath477.00 B02-01-15 22:26
.project442.00 B02-01-15 22:26
org.eclipse.jdt.core.prefs598.00 B02-01-15 22:26
PApriori$$anonfun$1.class1.06 kB02-01-15 22:26
PApriori$$anonfun$11$$anonfun$apply$4.class2.72 kB02-01-15 22:26
PApriori$$anonfun$11.class2.21 kB02-01-15 22:26
PApriori$$anonfun$12.class1.35 kB02-01-15 22:26
PApriori$$anonfun$14$$anonfun$apply$6.class1.65 kB02-01-15 22:26
PApriori$$anonfun$14.class1.82 kB02-01-15 22:26
PApriori$$anonfun$15$$anonfun$apply$7.class2.72 kB02-01-15 22:26
PApriori$$anonfun$15.class2.21 kB02-01-15 22:26
PApriori$$anonfun$16.class1.36 kB02-01-15 22:26
PApriori$$anonfun$2.class1.06 kB02-01-15 22:26
PApriori$$anonfun$3.class1.12 kB02-01-15 22:26
PApriori$$anonfun$4.class1.13 kB02-01-15 22:26
PApriori$$anonfun$5.class1.10 kB02-01-15 22:26
PApriori$$anonfun$6.class1.22 kB02-01-15 22:26
PApriori$$anonfun$7$$anonfun$apply$1.class2.07 kB02-01-15 22:26
PApriori$$anonfun$7.class1.89 kB02-01-15 22:26
PApriori$$anonfun$8.class1.23 kB02-01-15 22:26
PApriori$$anonfun$9.class1.11 kB02-01-15 22:26
PApriori$$anonfun$combine$1$$anonfun$apply$mcVI$sp$3$$anonfun$apply$5.class1.72 kB02-01-15 22:26
PApriori$$anonfun$combine$1$$anonfun$apply$mcVI$sp$3.class2.20 kB02-01-15 22:26
PApriori$$anonfun$combine$1.class1.85 kB02-01-15 22:26
PApriori$$anonfun$isContain$1.class1.48 kB02-01-15 22:26
PApriori$$anonfun$isFrequent$1$$anonfun$13.class1.68 kB02-01-15 22:26
PApriori$$anonfun$isFrequent$1$$anonfun$apply$mcVI$sp$2.class1.59 kB02-01-15 22:26
PApriori$$anonfun$isFrequent$1.class2.85 kB02-01-15 22:26
PApriori$$anonfun$L1tofim2$1$$anonfun$apply$mcVI$sp$1$$anonfun$apply$3.class1.73 kB02-01-15 22:26
PApriori$$anonfun$L1tofim2$1$$anonfun$apply$mcVI$sp$1.class2.37 kB02-01-15 22:26
PApriori$$anonfun$L1tofim2$1.class1.80 kB02-01-15 22:26
PApriori$$anonfun$main$1$$anonfun$10.class1.46 kB02-01-15 22:26
PApriori$$anonfun$main$1.class2.85 kB02-01-15 22:26
PApriori$$anonfun$mapL$1.class2.64 kB02-01-15 22:26
PApriori$$anonfun$save$1$$anonfun$apply$2.class1.41 kB02-01-15 22:26
PApriori$$anonfun$save$1.class2.21 kB02-01-15 22:26
PApriori$$anonfun$savefim1$1.class1.93 kB02-01-15 22:26
PApriori$.class11.15 kB02-01-15 22:26
PApriori.class4.96 kB02-01-15 22:26
PApriori.scala4.90 kB02-01-15 22:26
.classpath395.00 B02-01-15 22:18
.project379.00 B02-01-15 22:18
org.eclipse.jdt.core.prefs598.00 B02-01-15 22:18
FPGrowth$1.class1.37 kB02-01-15 22:18
FPGrowth.class8.95 kB02-01-15 22:18
FPTree.class3.58 kB02-01-15 22:18
PFP$1.class1.02 kB02-01-15 22:18
PFP$10.class2.87 kB02-01-15 22:18
PFP$11.class1.59 kB02-01-15 22:18
PFP$12.class3.41 kB02-01-15 22:18
PFP$1Formats.class2.28 kB02-01-15 22:18
PFP$1Kitemsets.class1.48 kB02-01-15 22:18
PFP$2.class1.10 kB02-01-15 22:18
PFP$3.class1.02 kB02-01-15 22:18
PFP$4.class2.08 kB02-01-15 22:18
PFP$5.class1.29 kB02-01-15 22:18
PFP$6.class1.02 kB02-01-15 22:18
PFP$7.class1.27 kB02-01-15 22:18
PFP$8.class1.64 kB02-01-15 22:18
PFP$9.class1.14 kB02-01-15 22:18
PFP.class5.53 kB02-01-15 22:18
TreeNode.class3.67 kB02-01-15 22:18
FPGrowth.java6.94 kB02-01-15 22:18
FPTree.java2.28 kB02-01-15 22:18
PFP.java7.86 kB02-01-15 22:18
TreeNode.java2.36 kB02-01-15 22:18
.part-00000.crc12.00 B02-01-15 21:48
._SUCCESS.crc8.00 B02-01-15 21:48
part-00000124.00 B02-01-15 21:48
<_SUCCESS>0.00 B02-01-15 21:48
.part-00000.crc20.00 B02-01-15 21:48
._SUCCESS.crc8.00 B02-01-15 21:48
part-000001.08 kB02-01-15 21:48
<_SUCCESS>0.00 B02-01-15 21:48
.part-00000.crc48.00 B02-01-15 21:48
._SUCCESS.crc8.00 B02-01-15 21:48
part-000004.71 kB02-01-15 21:48
<_SUCCESS>0.00 B02-01-15 21:48
.part-00000.crc100.00 B02-01-15 21:48
._SUCCESS.crc8.00 B02-01-15 21:48
part-0000011.07 kB02-01-15 21:48
<_SUCCESS>0.00 B02-01-15 21:48
.part-00000.crc128.00 B02-01-15 21:48
._SUCCESS.crc8.00 B02-01-15 21:48
part-0000014.86 kB02-01-15 21:48
<_SUCCESS>0.00 B02-01-15 21:48
.part-00000.crc100.00 B02-01-15 21:48
._SUCCESS.crc8.00 B02-01-15 21:48
part-0000011.31 kB02-01-15 21:48
<_SUCCESS>0.00 B02-01-15 21:48
.part-00000.crc44.00 B02-01-15 21:49
._SUCCESS.crc8.00 B02-01-15 21:49
part-000004.39 kB02-01-15 21:49
<_SUCCESS>0.00 B02-01-15 21:49
.part-00000.crc16.00 B02-01-15 21:49
._SUCCESS.crc8.00 B02-01-15 21:49
part-00000627.00 B02-01-15 21:49
<_SUCCESS>0.00 B02-01-15 21:49
第三题.docx661.25 kB02-01-15 22:10
运行jar包说明.txt478.00 B31-12-14 19:35
<fim>0.00 B02-01-15 22:26
<fim>0.00 B02-01-15 22:26
<test>0.00 B02-01-15 22:18
<test>0.00 B02-01-15 22:18
<seu>0.00 B02-01-15 22:26
<seu>0.00 B02-01-15 22:26
<seu>0.00 B02-01-15 22:18
<seu>0.00 B02-01-15 22:18
<edu>0.00 B02-01-15 22:26
<edu>0.00 B02-01-15 22:26
<edu>0.00 B02-01-15 22:18
<edu>0.00 B02-01-15 22:18
<.settings>0.00 B02-01-15 22:26
<bin>0.00 B02-01-15 22:26
<src>0.00 B02-01-15 22:26
<.settings>0.00 B02-01-15 22:18
<bin>0.00 B02-01-15 22:18
<src>0.00 B02-01-15 22:18
<PApriori>0.00 B02-01-15 22:26
<PFP>0.00 B02-01-15 22:18
<result-1>0.00 B02-01-15 21:51
<result-2>0.00 B02-01-15 21:51
<result-3>0.00 B02-01-15 21:51
<result-4>0.00 B02-01-15 21:51
<result-5>0.00 B02-01-15 21:51
<result-6>0.00 B02-01-15 21:51
<result-7>0.00 B02-01-15 21:51
<result-8>0.00 B02-01-15 21:51
<jars>0.00 B02-01-15 22:25
<src>0.00 B02-01-15 22:26
<测试结果>0.00 B02-01-15 21:54
<JN3>0.00 B02-01-15 22:20
...
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Comments

(Add your comment, get 0.1 Point)
Minimum:15 words, Maximum:160 words
lee_hnu
2015-05-20

程序设计写到关键地方。急需要这个代码来补充我的实现!

留侯
2015-05-26

频繁项集挖掘采用spark实现的并行化挖掘算法

河北一号
2015-05-27

真是不错的东西,太好了找很久了,感谢感谢

ywxf
2015-06-03

最近在学习Spark,希望你的分享能帮助到我。

ckhlyy
2016-10-08

好贵啊!希望有用~

zy512
2017-03-08

不错的资源,学习一下,谢谢分享【需要的朋友可以看我用户名联系我】

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FIM mining spark parallelization (aPriori,p_growth) (779.15 kB)

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