Data Driven Innovation Research Competition for University of China

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发布时间: 2019

561 to 570 of 611 结果

商品评论数据集.xlsx 2019-8-28 - Replication Data for: Commodity Review Data Set MS Excel (XLSX) - 519.8 KB - MD5: 395c7207620110ace93e6b823aeb0906 本数据集为论文《基于依存句法分析和NodeRank算法的微博商品评论情感标签抽取研究》所使用数据，包括智能手表评论商品评论10807条。
城市-个体职业选择数据库.dta 2019-8-28 - Replication Data for: Housing Price and Talent Allocation: From the Perspective of Occupation Choice Between Public and Private Sectors Stata Binary - 2.9 MB - MD5: 87896e2f3d29c8441ed24718d8817a97
论文代码.do 2019-8-28 - Replication Data for: Housing Price and Talent Allocation: From the Perspective of Occupation Choice Between Public and Private Sectors application/x-stata-syntax - 27.7 KB - MD5: ac38707afe04cf1e5eba30f3d0284dae
三大区域数据.tab 2019-8-28 - Analysis and countermeasures of regional difference of urban and rural residents' income in hunan province based on AMF-HXA Tab-Delimited - 9.4 KB - MD5: 9cfed2a0964fcba671b7052bcf65928b
湖南省各市州收入数据.tab 2019-8-28 - Analysis and countermeasures of regional difference of urban and rural residents' income in hunan province based on AMF-HXA Tab-Delimited - 24.6 KB - MD5: 96b08daa587e460db42e79cade6e502f
gps数据.rar 2019-8-28 - Travel and transfer mode recognition based on random forest model Unknown - 1.9 MB - MD5: 8507d885192490e458461c9a053fa15f 包含一些连续的不同模式转换的GPS数据和一些对原始GPS数据筛选处理计算后的特征数据集，如平均速度等。
C区2017年盗窃案件（清洗后）.xls 2019-8-28 - 某市C区2017年全年盗窃案件 MS Excel - 900.5 KB - MD5: 95cefab7162468f29a8b5ec457a9354c 某市C区2017年全年盗窃案件
2015年失地农民收入数据.tab 2019-8-28 - Study on the influence of informal Employment on the income of Landless Peasants Tab-Delimited - 90.6 KB - MD5: 1bd3fc4b7fa889adaf647ee44b752393
trainingset.mat 2019-8-28 - Mitochondrial single nucleotide variation and deafness dataset Unknown - 18.7 KB - MD5: 7218d4f950ec8f386d29f0d8a581cfa1
smote_standardized_data.csv 2019-8-28 - Replication Data for: default prediction of P2P loan based on improved stacking model MS Excel - 8.1 MB - MD5: b6fad740639bc7e809ef0cc374fb6206 对give me some credit训练集traindata进行基础处理，KNN填充缺失值，异常值处理，标准化以及用SMOTE算法进行平衡化处理得到的结果

商品评论数据集.xlsx

2019-8-28 - Replication Data for: Commodity Review Data Set

MS Excel (XLSX) - 519.8 KB - MD5: 395c7207620110ace93e6b823aeb0906

本数据集为论文《基于依存句法分析和NodeRank算法的微博商品评论情感标签抽取研究》所使用数据，包括智能手表评论商品评论10807条。

城市-个体职业选择数据库.dta

2019-8-28 - Replication Data for: Housing Price and Talent Allocation: From the Perspective of Occupation Choice Between Public and Private Sectors

Stata Binary - 2.9 MB - MD5: 87896e2f3d29c8441ed24718d8817a97

论文代码.do

2019-8-28 - Replication Data for: Housing Price and Talent Allocation: From the Perspective of Occupation Choice Between Public and Private Sectors

application/x-stata-syntax - 27.7 KB - MD5: ac38707afe04cf1e5eba30f3d0284dae

三大区域数据.tab

2019-8-28 - Analysis and countermeasures of regional difference of urban and rural residents' income in hunan province based on AMF-HXA

Tab-Delimited - 9.4 KB - MD5: 9cfed2a0964fcba671b7052bcf65928b

湖南省各市州收入数据.tab

2019-8-28 - Analysis and countermeasures of regional difference of urban and rural residents' income in hunan province based on AMF-HXA

Tab-Delimited - 24.6 KB - MD5: 96b08daa587e460db42e79cade6e502f

gps数据.rar

2019-8-28 - Travel and transfer mode recognition based on random forest model

Unknown - 1.9 MB - MD5: 8507d885192490e458461c9a053fa15f

包含一些连续的不同模式转换的GPS数据和一些对原始GPS数据筛选处理计算后的特征数据集，如平均速度等。

C区2017年盗窃案件（清洗后）.xls

2019-8-28 - 某市C区2017年全年盗窃案件

MS Excel - 900.5 KB - MD5: 95cefab7162468f29a8b5ec457a9354c

某市C区2017年全年盗窃案件

2015年失地农民收入数据.tab

2019-8-28 - Study on the influence of informal Employment on the income of Landless Peasants

Tab-Delimited - 90.6 KB - MD5: 1bd3fc4b7fa889adaf647ee44b752393

trainingset.mat

2019-8-28 - Mitochondrial single nucleotide variation and deafness dataset

Unknown - 18.7 KB - MD5: 7218d4f950ec8f386d29f0d8a581cfa1

smote_standardized_data.csv

2019-8-28 - Replication Data for: default prediction of P2P loan based on improved stacking model

MS Excel - 8.1 MB - MD5: b6fad740639bc7e809ef0cc374fb6206

对give me some credit训练集traindata进行基础处理，KNN填充缺失值，异常值处理，标准化以及用SMOTE算法进行平衡化处理得到的结果

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