《文献查阅》检索实习报告样例

1、文献查阅检索实习报告班级： 姓名： 学号： 成绩：毕业设计课题名称：粗糙集理论在数据挖掘中的应用一、期刊文章的网络检索要求：分别利用中国知网、万方数据库、重庆维普数据库、Elsevier数据库各检索1篇文献， 记录其外表特征和关键词，并分别用篇名途径、关键词途径和全文途径检索所得文献的篇数。1.中国知网同时利用“粗糙集”和“数据挖掘”作为关键词进行检索，检索结果如下：外部特征篇名基于粗糙集理论的数据挖掘模型作者李永敏.朱善君.陈湘晖.张岱崎.韩曾晋.机构清华大学自动化系.刊名清华大学学报（自然科学版）年卷期1999年01期内容特征关键词粗糙集；知识发现；数据挖掘；决策系统.文献篇数关键词途径1

2、36 （个）篇名途径28（个）全文途径808 （个）2.万方数据库检索结果如下:外部特征篇名基于粗糙集理论的数据挖掘模型作者韩曾晋；张岱崎；陈湘晖；朱善君；李永敏机构清华大学自动化系刊名清华大学学报（自然科学版）年卷期1999 Vol.39 No.1内容特征关键词粗糙集；知识发现；数据挖掘；决策系统文献篇数关键词途径85（个）篇名途径24（个）全文途径123 （个）3.重庆维普数据库检索结果为：外部特征篇名由规则归纳系统中发掘感兴趣模式作者马昕孙优贤机构浙江大学工业控制技术国家重点实验室刊名计算机应用.年卷期2003.023（004）内容特征关键词规则归纳系统感兴趣模式数据挖掘数据库知识发 现

3、兴趣度兴趣模板粗糙集文献篇数关键词途径73（个）篇名途径5（个）4.Elsevier数据库同时利用Rough Set和Data Mining作为关键词进行检索，检索结果如下:外部特征篇名Tree structure for efficient data mining using rough sets作者Ananthanarayana,V.S.a;Narasimha Murty,M.a;Subramanian, D.K.a机构a. Department of Computer Science and Automation, Indian Institute of Science, Bangalo

4、re 560 012, India刊名Pattern Recognition Letters年卷期Vol: 24, Issue: 6, March, 2003内容特征关键词PC-tree; Single database scan; Dynamic mining; Segment PC-tree; Rough PC-tree; Classification; Rough set文献篇数关键词途径16（个）篇名途径3（个）二、论文的网络检索要求：利用ProQuest全文数据库检索1篇论文，记录其外表特征和内容特征。同时利用 Rough Set和 Data Mining 作为关键词进行检索，检索结

5、果如下：外部特征篇名An architecture for a diagnostic/prognostic system with rough set feature selection and diagnostic decision fusion capabilities.作者Lee, Seungkoo.机构Georgia Institute of Technology.年2002内容特征摘要This research aims, by applying data mining techniques, at providing a systematic framework to identi

6、fy the most relevant input features from a set of predefined features that correspond to a specific abnormality. An innovative and generalized combination method taking only the advantages of each technique is introduced.; An innovative and generalized combination method taking only the advantages o

7、f each technique is introduced.; An innovative and generalized combination method taking only the advantages of each technique is introduced.; An innovative and generalized combination method taking only the advantages of each technique is introduced.; An innovative and generalized combination metho

8、d taking only the advantages of each technique is introduced.; An innovative and generalized combination method taking only the advantages of each technique is introduced.; An innovative and generalized combination method taking only the advantages of each technique is introduced.; Specifically, the

9、 major contributions of this research includes the followings: feature preparation methods to obtain potential features from raw data, rough set based feature selection methods for FDI and FP, diagnostic rule generation using rough set methods to provide the structure of a classifier, a classificati

10、on tool named Arrangement Fuzzy Neural Network Classifier (AFNNC) to increase the flexibility of the diagnostic module design, and an innovative diagnostic decision method based on Dempster-Shafer evidential theory and weighting fusion technique to increase diagnostic accuracy.; To demonstrate the f

11、easibility of the methodology in practical use, the proposed methods are applied to three different applications: a Navy chiller system, Process Demonstrator, and an automotive backlight inspection system.三、参考文献著录要求：按照毕业论文所要求的参考文献格式著录10篇中文参考文献，5篇英文参考文献。具体文献类型 不限。侯荣涛，闻邦椿，周飙.基于现代非线性理论的汽轮发电机组故障诊断技术研究J.

12、机械工程学报，2005, 41(2)： 142-147.张彼德，郑高.概率因果联接模型在汽轮发电机组振动故障诊断应用J.汽轮机技术，2004, 46(3)：207-209.黄:撰发现：轮振动M的粗糙集模型J.电力系统自动化，2004, 28(15)： 80-84.王国胤.Rough集理论与知识获取M.西安：西安交通大学出版社，2001.梁吉业，曲开社.信息系统的属性约简J.系统工程理论与实践，2001，21(12)： 76-80.张文修.粗糙集理论与方法M.北京：科学出版社，2001.阎平凡.人工神经网络与模拟进化计算M.北京：清华大学出版社，2000.李化，岳刚.汽轮发电机组振动故障诊断的模

13、糊输入方法J.重庆大学学报(自然科学版)，1999,22(6)：36-40.刘清.Rough集理论及Rough推理M .北京：机械工业出版社，2002.TSUMOTO S ET AL. Extraction of domain knowledge from databases based on rough set theoryJ. Fuzzy Set，1996，34(6)： 67-76.Z.PAWLAK. Rough sets J. International Journal of Computer and Information Science， 1982， 11(5)：341-356.乙 PAWLAK. Rough sets: Theoretical Aspects of Reasoning about Data M. Dordrecht： KluwerAcademic Pu