文件名称：数据挖掘经典算法
文件大小：40MB
文件格式：RAR
更新时间：2016-10-07 15:10:13
数据挖掘 算法
数据挖掘经典算法 论文文献，C4.5,k-Means, SVM, Apriori, EM, PageRank, AdaBoost,kNN, Naive Bayes, and CART
【文件预览】：
数据挖掘
----17.Finding reduct.pdf(557KB)
----6.EM-Finite Mixture Models.pdf(17.61MB)
----Top 10数据挖掘算法.pdf(696KB)
----14.GSP.pdf(1.02MB)
----8.FP-Tree.pdf(283KB)
----16.CBA.pdf(65KB)
----13.AdaBoost-A_decision_theoretic_generalization_of_on_line_learning_and_an_application_to_boosting.pdf(341KB)
----10.HITS.pdf(191KB)
----15.PrefixSpan.pdf(170KB)
----2.CART.pdf(15KB)
----9.PageRank-The Anatomy of a Large-Scale Hypertextual Web Search Engine-1998.4月.pdf(394KB)
----11.K-Means-Some methods for classification and analysis of multivariate observations.pdf(1.33MB)
----12.Birch.pdf(1.42MB)
----7.Apriori-Fast Algorithms for Mining Association Rules.pdf(332KB)
----5.SVM _The+Nature+of+Statistical+Learning+Theory.pdf(8.97MB)
----1.C4.5_Programs+for+Machine+Learning.pdf(10.42MB)
----3.KNN-Discriminant_Adaptive_Nearest_Neighbor_Classification.pdf(1.1MB)