Construction of Integrated Agricultural Statistical System Architecture for Effective Policy
![]() |
Lee, Min-Soo
(Dept. of Agricultural Economics and Rural Development, Seoul Notional University)
Chae, Young-Chan (Dept. of Agricultural Economics and Rural Development, Seoul Notional University) Hong, Hee-Yeon (Dept. of Agricultural Economics and Rural Development, Seoul Notional University) Kim, Sang-Ho (Dept. of Agricultural Economics and Rural Development, Seoul Notional University) Kim, Jeong-Seop (Dept. of Agricultural Economics and Rural Development, Seoul Notional University) |
1 | Chen, M.S., J. Jan, and P.S. Yu, 1996, 'Data Mining: An Overview from a Database Perspective', IEEE Transactions on Knowledge and Data Engineering 8(6) : 866-883 DOI ScienceOn |
2 | Eckerson, W.W., 1988, 'Post-Chasm Warehousing', Journal of Data Warehousing 3(3): 38-45 |
3 | Fayyad, U., G. Piatetsky-Shapiro, and P. Smyth, 1996, 'The KDD Process for Extracting Useful Knowledge from Volumes of Data', Communication of the ACM 39(11) : 27-34 DOI ScienceOn |
4 | EDS, 1995, 'Data Warehouseing Primer', EDS, December |
5 | Gray, P. and H.J. Watson, 1998, Decision Support in the Data Warehouse, Upper Saddle River, Prentice-Hall, New Jersey |
6 | Yost, M., 2000, 'Data warehousing and decision support at the National Agricultural Statistics Service,' Social Science Computer Review 18(4) : 434-441 DOI ScienceOn |
7 | Legg, W., 2005, 'Agricultural Support Indicators: Measurement, Meaning and Use', In Staistics, Knowledge and Policy(pp. 635-644), OECD(Eds), http://www.sourceoecd.org/9264009000/ (accessed 2005.12) |
8 | Markus, M.L., 2001, 'Towards a Theory of Knowledge Reuse: Types of Knowledge Reuse Situations and Factors in Reuse Success,' Journal of Management Information Systems 18(1) : 57-93 DOI ScienceOn |
9 | OECD, 2003, Methodology for the Measurement of Support and Use in Policy Evaluation, http://www.oecd.org/agr.support (accessed 2005.12) |
10 | Cabena, P, P. hadjinian, R. Stadler, J. Verhees, and A. Zanasi, 1998, Discovering Data Mining: From Concept to Implementation. Prentice Hall, New Jersey |
11 | McFadden, F.R., 1996, 'Data Warehouse for EIS: Some Issues and Impacts', Proceedings of 29th Annual Hawaii International Conference on System Science : 120-129 |
12 | Han, J. and M. Kamber, 2001, Data Mining: Concepts and Technique, Morgan-Kaufmann Academic Press, San Francisco |
13 | Werner, V. and C. Abramson, 2001, 'Managing Click-steam Data', Journal of Data Warehousing 6(3) : 11-15 |
14 | Poe, V., 1995, 'Data Warehouse: Architecture is not Infrastructure', Database Programming and Design |
15 | USDA, 2005, USDA Strategic Plan for FY 2002-2007, http://www.usda.gov/ocfo/usdasp/usdasp.htm(accessed 2005.12) |
16 | Vaduva, A. and T. Vetterli, 2001, 'Metadata Management for Data Warehousing: An Overview', International Journal of Cooperative Information Systems 10(3) : 273-298 DOI ScienceOn |
17 | Inmon, W.H., 2001, 'Knowing Your Dss End User: Tourists, Explorers, Farmers', www.billinmon.com/library/articles |
18 | Eckerson, W.W. and H.J. Watson, 2000, Harnessing Customer Information for Strategic Advantage: Technical Challenges and Business Solutions. Seattle: The Data Warehousing Institute |
19 | Stephens, T.R., 2004, 'Knowledge: The Essence of Meta Data: The Meta Data Experience', DM Review 14(3) |
20 | Griffin, J., 1995, 'Customer Information Architecture', DBMS: 58-65 |
21 | Eckerson, W.W., 1999, Evolution of Data Warehousing: The Trend toward Analytical Applications, Boston, MA: The Patricia Seybold Group, 1-8 |
22 | Pendse, N., 2003, 'What is OLAP, The OLAP Report', (http://www.olapreport.com/FASMI.HTM;White Paper) |
23 | Umar, 1993, Distributed Computing and Client/Server Systems. Prentice Hall |
24 | Watson, H.J., 2001, 'Recent Developments in Data Warehosing', Communications of the Association for Information Systems 8 : 1-25 |
25 | Inmon, W.H., 2002, Building the Data Warehouse. John Wiley and Sons, New York |
![]() |