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Title: 客户流失预测 Download
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  • Other systems
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  • 1.02mb
  • Update:
  • 2018-04-07
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  • 1 Times
  • Uploaded by:
  • hellation
 Description: Along with the global business more competitive, customer churn prediction has become the most important content in customer relationship management. Predicting customer retention and formulating corresponding customer churn strategies has become a key factor in promoting enterprise development. Based on the analysis of customer behavior data, aiming at the redundant features and unbalanced positive and negative samples in customer data, this paper puts forward a new feature selection algorithm and unbalanced data processing algorithm, respectively, to establish a new customer churn prediction model.
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客户流失预测\聚类融合算法 0 2017-06-18
客户流失预测\聚类融合算法\Abalone.mat 68871 2016-05-06
客户流失预测\聚类融合算法\CFBMS.m 3829 2017-06-18
客户流失预测\聚类融合算法\ecoli.mat 3349 2016-05-03
客户流失预测\聚类融合算法\glass.mat 5098 2016-05-06
客户流失预测\聚类融合算法\haberman.mat 738 2016-04-29
客户流失预测\聚类融合算法\Main.m 690 2017-06-25
客户流失预测\聚类融合算法\pageblocks.mat 119554 2016-05-06
客户流失预测\聚类融合算法\PimaIndians.mat 11406 2016-03-15
客户流失预测\聚类融合算法\power.mat 266 2016-06-16
客户流失预测\聚类融合算法\predit_data.mat 7688 2016-03-03
客户流失预测\聚类融合算法\rs.mat 325 2016-05-09
客户流失预测\聚类融合算法\shuju.mat 2728 2016-12-12
客户流失预测\聚类融合算法\SMOT1E.m 829 2016-05-03
客户流失预测\聚类融合算法\SMOTE.m 976 2016-05-06
客户流失预测\聚类融合算法\test.m 4320 2016-12-12
客户流失预测\聚类融合算法\train_data.mat 7582 2016-03-03
客户流失预测\聚类融合算法\Wine.mat 10681 2016-05-04
客户流失预测\聚类融合算法\yeast.mat 13649 2016-04-29
客户流失预测\客户流失预测模型研究及其应用程序说明.docx 18541 2017-06-02
客户流失预测\算法模型 0 2017-06-25
客户流失预测\算法模型\bank.mat 47795 2016-12-22
客户流失预测\算法模型\CFBMS.m 3827 2016-12-28
客户流失预测\算法模型\ELM 0 2017-06-02
客户流失预测\算法模型\ELM\ELM.m 4475 2016-03-04
客户流失预测\算法模型\ELM\predit_data.mat 7688 2016-03-03
客户流失预测\算法模型\ELM\SMOTE.m 859 2016-03-05
客户流失预测\算法模型\ELM\SMOTE_ELM.m 295 2016-03-07
客户流失预测\算法模型\ELM\train_data.mat 7582 2016-03-03
客户流失预测\算法模型\Feature.m 2154 2016-12-28
客户流失预测\算法模型\Main.m 698 2017-06-25
客户流失预测\算法模型\RandomForest 0 2017-06-25
客户流失预测\算法模型\RandomForest\data.mat 14502 2017-06-18
客户流失预测\算法模型\RandomForest\predit_data.mat 7688 2016-03-03
客户流失预测\算法模型\RandomForest\RandomForest.zip 215904 2017-06-18
客户流失预测\算法模型\RandomForest\ReadME.txt 123 2017-06-18
客户流失预测\算法模型\RandomForest\RF.m 295 2017-06-18
客户流失预测\算法模型\RandomForest\SMOTE.m 859 2016-03-05
客户流失预测\算法模型\RandomForest\SMOTE_RF.m 607 2017-06-18
客户流失预测\算法模型\RandomForest\tp351c972e_a79f_4a6e_8623_ce756ea71d1a 37710 2017-06-25
客户流失预测\算法模型\RandomForest\train_data.mat 7582 2016-03-03
客户流失预测\算法模型\SMOT1E.m 829 2016-05-03
客户流失预测\算法模型\SMOTE.m 976 2016-05-06
客户流失预测\算法模型\SVM 0 2017-06-02
客户流失预测\算法模型\SVM\predit_data.mat 7688 2016-03-03
客户流失预测\算法模型\SVM\SMOTE.m 859 2016-03-05
客户流失预测\算法模型\SVM\SMOTE_SVM.m 582 2016-03-07
客户流失预测\算法模型\SVM\train_data.mat 7582 2016-03-03
客户流失预测\算法模型\teletephone.mat 14506 2015-09-25
客户流失预测\算法模型\决策树 0 2017-06-02
客户流失预测\算法模型\决策树\DecTree.m 300 2016-03-05
客户流失预测\算法模型\决策树\Iris.mat 1986 2016-02-21
客户流失预测\算法模型\决策树\predit_data.mat 7688 2016-03-03
客户流失预测\算法模型\决策树\SMOTE.m 859 2016-03-05
客户流失预测\算法模型\决策树\SMOTE_DecTree.m 633 2017-06-25
客户流失预测\算法模型\决策树\train_data.mat 7582 2016-03-03
客户流失预测\算法模型\决策树\Wine.mat 10690 2016-02-21
客户流失预测\算法模型\决策树\决策树模型分类的例子.doc 155136 2016-03-03
客户流失预测\特征选择算法 0 2017-06-02
客户流失预测\特征选择算法\bank.mat 47795 2016-12-22
客户流失预测\特征选择算法\chess.mat 7650 2016-12-21
客户流失预测\特征选择算法\chess.txt 249150 2016-12-20
客户流失预测\特征选择算法\classify.m 966 2016-12-21
客户流失预测\特征选择算法\credit.mat 10076 2016-12-21
客户流失预测\特征选择算法\Credit.txt 33142 2016-12-21
客户流失预测\特征选择算法\Feature.m 1755 2017-06-25
客户流失预测\特征选择算法\hepitis.txt 7700 2016-12-20
客户流失预测\特征选择算法\Ionosphere.mat 58240 2016-12-20
客户流失预测\特征选择算法\Ionosphere.txt 76818 2016-12-20
客户流失预测\特征选择算法\mahal.m 337 2016-12-20
客户流失预测\特征选择算法\MI.m 1251 2016-12-08
客户流失预测\特征选择算法\mushroom.mat 33160 2016-12-21
客户流失预测\特征选择算法\mushroom.txt 477872 2016-12-21
客户流失预测\特征选择算法\teletephone.mat 14506 2015-09-25
客户流失预测\特征选择算法\test.mat 8148 2016-12-19
客户流失预测\特征选择算法\wine.mat 5391 2016-12-20
客户流失预测\特征选择算法\wine.txt 10960 2016-12-20
客户流失预测\特征选择算法\wines.mat 3780 2016-12-21

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