文件名称:NetBeansProjects

  • 所属分类:
  • JSP源码/Java
  • 资源属性:
  • [Java] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 142kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • E***
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容均来自于网络,请自行研究使用

Data miner 1.0

can handle classification, association, clustering and linear regression. General inputs are mySQL tables
(系统自动生成,下载前可以参看下载内容)

下载文件列表

DataMiner2.0

............\build

............\.....\classes

............\.....\.......\Connector

............\.....\.......\.........\javaToSQL.class

............\.....\.......\.........\jdbcClass.class

............\.....\.......\.........\ResultTable.class

............\.....\.......\.........\TableColumnNameGetter.class

............\.....\.......\.........\Tester.class

............\.....\.......\Module

............\.....\.......\......\AssociationRulesGenerator$1.class

............\.....\.......\......\AssociationRulesGenerator$2.class

............\.....\.......\......\AssociationRulesGenerator$3.class

............\.....\.......\......\AssociationRulesGenerator$4.class

............\.....\.......\......\AssociationRulesGenerator$5.class

............\.....\.......\......\AssociationRulesGenerator.class

............\.....\.......\......\ClassificationRulesGenerator$1.class

............\.....\.......\......\ClassificationRulesGenerator$2.class

............\.....\.......\......\ClassificationRulesGenerator$3.class

............\.....\.......\......\ClassificationRulesGenerator$4.class

............\.....\.......\......\ClassificationRulesGenerator$5.class

............\.....\.......\......\ClassificationRulesGenerator.class

............\.....\.......\......\ClusterGenerator$1.class

............\.....\.......\......\ClusterGenerator$2.class

............\.....\.......\......\ClusterGenerator$3.class

............\.....\.......\......\ClusterGenerator$4.class

............\.....\.......\......\ClusterGenerator.class

............\.....\.......\......\LinearRegression$1.class

............\.....\.......\......\LinearRegression$2.class

............\.....\.......\......\LinearRegression$3.class

............\.....\.......\......\LinearRegression$4.class

............\.....\.......\......\LinearRegression$5.class

............\.....\.......\......\LinearRegression.class

............\.....\.......\Platform

............\.....\.......\........\Configuration$1.class

............\.....\.......\........\Configuration$2.class

............\.....\.......\........\Configuration$3.class

............\.....\.......\........\Configuration$4.class

............\.....\.......\........\Configuration.class

............\.....\.......\........\LoadScript$1.class

............\.....\.......\........\LoadScript$2.class

............\.....\.......\........\LoadScript.class

............\.....\.......\........\Main.class

............\.....\.......\........\MainScreen$1.class

............\.....\.......\........\MainScreen$2.class

............\.....\.......\........\MainScreen$3.class

............\.....\.......\........\MainScreen$4.class

............\.....\.......\........\MainScreen$5.class

............\.....\.......\........\MainScreen$6.class

............\.....\.......\........\MainScreen$7.class

............\.....\.......\........\MainScreen.class

............\.....\.......\........\SelectTable$1.class

............\.....\.......\........\SelectTable$2.class

............\.....\.......\........\SelectTable$3.class

............\.....\.......\........\SelectTable.class

............\.....\.......\Process

............\.....\.......\ProcessApriori

............\.....\.......\..............\aprioriProcess.class

............\.....\.......\..............\CandidateElement.class

............\.....\.......\..............\HashTreeNode.class

............\.....\.......\..............\ItemSetNode.class

............\.....\.......\ProcessClassification

............\.....\.......\.....................\ClassificationRulesDisplay.class

............\.....\.......\.....................\DBDataRetriever.class

............\.....\.......\.....................\ID3$DataPoint.class

............\.....\.......\.....................\ID3$TreeNode.class

............\.....\.......\.....................\ID3.class

............\.....\.......\ProcessLinearRegression

............\.....\.......\.......................\BeanLinear.class

............\.....\.......\.......................\ComputationLinear.class

............\.....\.......\.......................\DBValueRetriever.class

............\.....\.......\..

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