基本信息来源于合作网站,原文需代理用户跳转至来源网站获取       
摘要:
Since about 10 years ago, University of Applied Science and Technology (UAST) in Iran has admitted students in discontinuous associate degree by modular method, so that almost 100,000 students are accepted every year. Although the first aim of holding such courses was to improve scientific and skill level of employees, over time a considerable group of unemployed people have been interested to participate in these courses. According to this fact, in this paper, we mine and analyze a sample data of accepted candidates in modular 2008 and 2009 courses by using unsupervised and supervised learning paradigms. In the first step, by using unsupervised paradigm, we grouped (clustered) set of modular accepted candidates based on their student status and labeled data sets by three classes so that each class somehow shows educational and student status of modular accepted candidates. In the second step, by using supervised and unsupervised algorithms, we generated predicting models in 2008 data sets. Then, by making a comparison between performances of generated models, we selected predicting model of association rules through which some rules were extracted. Finally, this model is executed for Test set which includes accepted candidates of next course then by evaluation of results, the percentage of correctness and confidentiality of obtained results can be viewed.
推荐文章
Optimizing the ratio of the spike to sample for isotope dilution analysis: a case study with seleniu
Isotope dilution method
Error propagation
Mento Carlo
Se concentration
Geological reference materials
Elemental characteristics and paleoenvironment reconstruction: a case study of the Triassic lacustri
Trace elements
Occurrence mode
Paleoenvironment
Zhangjiatan oil shale
Yanchang Formation
Ordos Basin
Effects of carbon anhydrase on utilization of bicarbonate in microalgae: a case study in Lake Hongfe
Microalgae
Carbonic anhydrase
Stable carbon isotope
Inorganic carbon utilization
Iron isotope fractionation during fenitization: a case study of carbonatite dykes from Bayan Obo, In
Iron isotopes
Fenitization
Fluid exsolution
Carbonatite
Bayan Obo
内容分析
关键词云
关键词热度
相关文献总数  
(/次)
(/年)
文献信息
篇名 Case Study: Data Mining of Associate Degree Accepted Candidates by Modular Method
来源期刊 通讯与网络(英文) 学科 医学
关键词 Supervised LEARNING UNSUPERVISED LEARNING CLUSTERING CLUSTERING SIMILARITY LABELING Association Rule Decision Tree PREDICT Model Predicting Majors
年,卷(期) 2012,(3) 所属期刊栏目
研究方向 页码范围 261-268
页数 8页 分类号 R73
字数 语种
DOI
五维指标
传播情况
(/次)
(/年)
引文网络
引文网络
二级参考文献  (0)
共引文献  (0)
参考文献  (0)
节点文献
引证文献  (0)
同被引文献  (0)
二级引证文献  (0)
2012(0)
  • 参考文献(0)
  • 二级参考文献(0)
  • 引证文献(0)
  • 二级引证文献(0)
研究主题发展历程
节点文献
Supervised
LEARNING
UNSUPERVISED
LEARNING
CLUSTERING
CLUSTERING
SIMILARITY
LABELING
Association
Rule
Decision
Tree
PREDICT
Model
Predicting
Majors
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
通讯与网络(英文)
季刊
1949-2421
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
427
总下载数(次)
0
总被引数(次)
0
期刊文献
论文1v1指导