EI是商业性数据库,一般要购买后才能用.有些单位提供校外访问的途径,不过大多数高校是通过IP控制用户权限的,在校外不能访问这些数据库.
不错,仅第7篇没收录.详细信息太多了,后面的论文给出了EI号.
1.Accession number: 20093612290599
Title: BP neural network for the risk management of MICE
Authors: Yang, Jianping1 ; Cui, Zhenxing1
Author affiliation: 1 School of Management, Xi'an University of Architecture and Technology, Xi'an, China
Corresponding author: Yang, J. (yangjp17@yahoo.com)
Source title: Proceedings of the 1st International Workshop on Education Technology and Computer Science, ETCS 2009
Abbreviated source title: Proc. Int. Workshop Educ. Technol. Comput. Sci., ETCS
Volume: 1
Monograph title: Proceedings of the 1st International Workshop on Education Technology and Computer Science, ETCS 2009
Issue date: 2009
Publication year: 2009
Pages: 119-122
Article number: 4958739
Language: English
ISBN-13: 9780769535579
Document type: Conference article (CA)
Conference name: 1st International Workshop on Education Technology and Computer Science, ETCS 2009
Conference date: March 7, 2009 - March 8, 2009
Conference location: Wuhan, Hubei, China
Conference code: 76728
Sponsor: Huazhong University Science and Technology; Harbin Institute of Technology; IEEE Harbin Section; IEEE Technical Committee on Learning Technology
Publisher: Inst. of Elec. and Elec. Eng. Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
Abstract: MICE, a tourism product, has a high marginal profit and a strong benefit linkage, at the same time, its potential risks are coming too. It is essential for enterprises to learn how to identify and keep away from risks; it's in order to survival and development. This paper will research the system optimization of BP neural network technology used in the MICE risk management system, and we establish a model based on this technology. On the basis of risk factors and the discrimination mode of security alarm, we design an experimental model for MICE risk management. This model can make a scientific decision on the risks for some MICE enterprises. With its help we can advance the level of enterprise risk management, and our management will be turned into the source of real business value. © 2009 IEEE.
Number of references: 6
Main heading: Decision making
Controlled terms: Computer science - Education computing - Network management - Neural networks - Risk analysis - Risk management - Technology Uncontrolled terms: BP neural network - BP neural networks - Business value - Enterprise risk management - Experimental models - MICE - Model-based - Potential risks - Risk factors - Risk management systems - System optimizations
Classification code: 901 Engineering Profession - 901.2 Education - 911 Cost and Value Engineering; Industrial Economics - 922.1 Probability Theory - 912 Industrial Engineering and Management - 914 Safety Engineering - 922 Statistical Methods - 912.2 Management - 723.4 Artificial Intelligence - 723.2 Data Processing and Image Processing - 461.1 Biomedical Engineering - 717.1 Optical Communication Systems - 721 Computer Circuits and Logic Elements - 722 Computer Systems and Equipment - 722.3 Data Communication, Equipment and Techniques - 723 Computer Software, Data Handling and Applications
DOI: 10.1109/ETCS.2009.36
Database: Compendex
2. Accession number: 20094312395396
Title: Study on establishing tourism warning system based on DSS
Authors: Jiang, Hua1 ; Cui, Zhenxing2
Author affiliation: 1 School of Economic and Management, Hebei University of Engineering, Handan, China
2 School of Management, Xi'an University of Architecture and Technology, Xi'an, China
Corresponding author: Jiang, H. (hdjianghua@126.com)
Source title: 2008 International Seminar on Business and Information Management, ISBIM 2008
Abbreviated source title: Int. Semin. Bus. Inf. Manage., ISBIM
Volume: 2
Monograph title: 2008 International Seminar on Business and Information Management, ISBIM 2008
Issue date: 2009
Publication year: 2009
Pages: 92-95
Article number: 5116429
Language: English
ISBN-13: 9780769535609
Document type: Conference article (CA)
Conference name: 2008 International Seminar on Business and Information Management, ISBIM 2008
Conference date: December 19, 2008 - December 19, 2008
Conference location: Wuhan, China
Conference code: 77557
Sponsor: Engineering Technology Press; Intelligent Information Technology Application Association
Publisher: IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
Abstract: As an effective tool for scientific decision-making, Decision Support System has been successfully applied from both depth and width point of view. According to this technology, this paper builds the tourism warning system architecture and researches its application for emergency. Using other technologies and algorithms, this tourism DSS can deal with the inenarrable problems in decision process, so its development in tourism industry is imperative. © 2008 IEEE.
Number of references: 11
Main heading: Information management
Controlled terms: Alarm systems - Artificial intelligence - Decision making - Decision support systems - Decision theory
Uncontrolled terms: Decision process - DSS - Early warning system - Effective tool - Tourism industry - Tourisn - Warning systems
Classification code: 961 Systems Science - 922.2 Mathematical Statistics - 921 Mathematics - 914.2 Fires and Fire Protection - 914.1 Accidents and Accident Prevention - 912.2 Management - 903.2 Information Dissemination - 723.4 Artificial Intelligence - 723 Computer Software, Data Handling and Applications
DOI: 10.1109/ISBIM.2008.44
Database: Compendex
3. Accession number: 20093612290598
4. Accession number: 20093612290585
5. Accession number: 20100312645024
6. Accession number: 20094512431116
8. Accession number: 20100712709711
9.Accession number: 20101612856421
10. Accession number: 20101212799257