数据挖掘题目及答案

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1、数据挖掘课程设计作业：学号11.“book11”中的数据是股票“中金黄金”的历史交易数据，请根据此训练样本，建立BP神经网络预测模型，并预测“book12”中数据对应的“第二个交易日收盘价”。2.“book21”中的数据是三种等级的葡萄酒检验数据，请根据此训练样本，建立BP神经网络分类模型，并预测“book22”中数据对应的葡萄酒的等级（class）。3.用支持向量机方法根据“book31”中训练样本建立工艺参数与“透气量”之间的预测模型，并预测“book32”数据中对应的“透气量”。4.“book41”中的数据是肿瘤的

2、检验数据，最后一列是肿瘤的性质（B：良性，M恶性），请根据此训练样本，建立BP神经网络分类模型，并预测“book42”中数据对应的肿瘤性质。5.“book51”是二分类训练样本，“book52”是待分类样本，请完成如下数据挖掘的分类任务：1）按5-最邻近，判别“book52”中待分类样本的类别。2）按3-最邻近，同时使用距离加权方法，判别“book52”中待分类样本的类别。3）按1、3、5-最邻近，再使用二次表决方法，判别“book52”中待分类样本的类别。第一题源程序p=[40.584140.440.212037003

3、082617369638.9939.138.8938.4425964924100565958438.5138.938.1138.011711720465638854438.0838.0837.737.431731141065236300837.938.1537.7937.381194714545127142437.7937.8237.7637.01929401134787465637.9538.137.837.4853757432196275237.9137.9937.36371031665138615526436.99

4、3735.8635.781519315255054406435.2835.534.1133.81611700055812947234.1734.834.7433.81819218828016038434.1135.5235.2834.11942452232936726434.9934.9933.5633.51307599344596633633.0933.5133.132.31200033439607078432.532.532.2831.1116824673710410563232.5532.531.886026622

5、19474633632.5734.0833.9532.34128430174303219203333.8733.6333793649526504041634.235.5535.3333.991460173350836681635.3335.3335.0534.781020749235747641635.2135.8734.2734.021101695438651529634.334.4934.4733.28834443228340601634.4934.8634.4434.01765290426371872034.235

6、.5935.3934.181746328061302688035.536.4935.6635.452095638075420300835.7536.2936.1435.451515667854481171236.236.4535.9735.71364855149164860836.2537.1936.2236.111854271467826643236.2336.936.6736.231350737249399788837.3838.2936.8336.732383364121488870436.863938.636.8

7、637287772142752486439.139.3838.0937.82239618885844441637.738.237.7536.671691358463262918437.937.9937.7137.021145426842926092837.663837.9637.161550805158140160038.539.3738.7437.7832792106126679731238.7238.7237.3837.351941954073964243237.0137.5537.3436.851031136238

8、300291237.9938.3938.1837.561526272158113068838.238.438.0137.8712773053486719712383837.6437.461344793850563718437.637.637.08371096514940724380836.6637.3637.1436