[{"title":"( 12 个子文件 25.38MB ) 数据挖掘课件","children":[{"title":"数据挖掘","children":[{"title":"支持向量机-经济模型.pptx <span style='color:#111;'> 2.37MB </span>","children":null,"spread":false},{"title":"DBMinerManual.doc <span style='color:#111;'> 2.28MB </span>","children":null,"spread":false},{"title":"第二章 贝叶斯决策与统计判别方法.ppt <span style='color:#111;'> 3.86MB </span>","children":null,"spread":false},{"title":"1数据挖掘绪论.ppt <span style='color:#111;'> 2.66MB </span>","children":null,"spread":false},{"title":"4分类、回归与聚类(2).ppt <span style='color:#111;'> 2.80MB </span>","children":null,"spread":false},{"title":"第3章 知识发现与关联规则挖掘(一).ppt <span style='color:#111;'> 314.50KB </span>","children":null,"spread":false},{"title":"机器学习-SVM.ppt <span style='color:#111;'> 464.00KB </span>","children":null,"spread":false},{"title":"第3章 知识发现与关联规则挖掘(二).ppt <span style='color:#111;'> 3.38MB </span>","children":null,"spread":false},{"title":"4分类、回归与聚类(一).ppt <span style='color:#111;'> 951.00KB </span>","children":null,"spread":false},{"title":"2数据仓库与OLAP分析.ppt <span style='color:#111;'> 9.96MB </span>","children":null,"spread":false},{"title":"支持向量机.ppt <span style='color:#111;'> 2.11MB </span>","children":null,"spread":false},{"title":"1数据挖掘绪论.pptx <span style='color:#111;'> 2.48MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]