数字营销实训算法第四轮修改

src/main/java/com/sztzjy/marketing/controller/stu/StuDigitalMarketingModelController.java

@@ -191,13 +191,13 @@ public class StuDigitalMarketingModelController {
 
         List<String> strings = convertToDelimitedStringList(deduplicatedDataList);
         //初始化事务数据库、项目集、候选集再进行剪枝
-        Apriori.init(strings,support);
+        Apriori.init(strings,confidence);
 
         //迭代求出最终的候选频繁集
-        Apriori.iteration(Apriori.C,Apriori.L,support);
+        Apriori.iteration(Apriori.C,Apriori.L,confidence);
 
         //根据最终的关联集，根据公式计算出各个关联事件
-        List<AssociationRulesDTO> connection = Apriori.connection(confidence);
+        List<AssociationRulesDTO> connection = Apriori.connection(support);
 
 
         return new ResultEntity(HttpStatus.OK,"成功",connection);

src/main/java/com/sztzjy/marketing/service/impl/StuDigitalMarketingModelServiceImpl.java

@@ -57,7 +57,7 @@ public class StuDigitalMarketingModelServiceImpl implements StuDigitalMarketingM
         List<String> list=stuTableNameMapper.getTableName(userId);
 
         if(list.isEmpty()){ //设置默认值
-            String[] arr={"客户细分数据表","销售预测数据表","购物车数据表","用户评论表"};
+            String[] arr={"客户细分数据表","销售预测数据表","购物车数据表"};
 
             StuTableName stuTableName=new StuTableName();
             for (int i = 0; i < arr.length; i++) {
@@ -306,7 +306,7 @@ public class StuDigitalMarketingModelServiceImpl implements StuDigitalMarketingM
 
             if(tableName.equals(Constant.KEHUXISHUJU)){
 //           list=indicatorsMapper.getYHSXB();
-                list.add("id");
+//                list.add("id");
                 list.add("gender");
                 list.add("age");
                 list.add("annual_income");

src/main/java/com/sztzjy/marketing/util/algorithm/Apriori.java

@@ -162,13 +162,13 @@ public class Apriori {
 			}
 			str = C.toString();
 			
-//			 System.out.println("候选"+t+"项集：C: \n"+C);
+			 System.out.println("候选"+t+"项集：C: \n"+C);
 			// 二、剪枝步
 			pruning(C, L,min_support);
-//			 System.out.println("频繁"+t+"项集：L: \n"+L+"\n");
+			 System.out.println("频繁"+t+"项集：L: \n"+L+"\n");
 			 str = L.toString();
 			 
-			 //System.out.println("===");
+			 System.out.println("===");
 			L_ALL.putAll(L);
 		}
 		return L_temp;
@@ -252,7 +252,7 @@ public class Apriori {
 								if (confident > min_confident) {// 如果事件的置信度大于最小置信度
 									//封装对象返回
 
-									DecimalFormat df = new DecimalFormat("#.0");
+									DecimalFormat df = new DecimalFormat("#.00");
 									AssociationRulesDTO associationRulesDTO=new AssociationRulesDTO();
 									associationRulesDTO.setCorrelation(item_pre);
 									associationRulesDTO.setAssociated(item_post);