International Journal of Soft Computing
Year:
2013
Volume:
8
Issue:
5
Page No.
340 - 351
References
Allaire, P., J. Augat, J. Jose and D. Merrill, 2012. Data migration best practices and nondisruptive migration service capability for enterprise storage, Hitachi data systems. HITACHI. http://www.hds.com/assets/pdf/white-paper-reducing-costs-and-risks-for-data-migrations.pdf.
Badri, M.A., D. Davis and D. Davis, 1995. A study of measuring the critical factors of quality management. Int. J. Qual. Reliab. Manage., 12: 36-53.
CrossRef | Eckerson, W., 2002. Data warehousing special report: Data quality and the bottom line. Applications Development Trends. http://www.estv.ipv.pt/PaginasPessoais/jloureiro/ESI_AID2007_2008/fichas/TP06_anexo1.pdf.
English, L.P., 1999. Improving Data Warehouse and Business Information Quality. 1st Edn., John Wiley Sons Inc., New York, USA., ISBN-13: 978-0471253839, pp: 10.
Fields, K.T., H. Sami and G.E. Sumners, 1986. Quantification of the auditor's evaluation of internal control in data base systems. J. Inf. Syst., 1: 24-77.
Firth, C., 1996. Data quality in practice: Experience from the frontline. Proceedings of the Conference of Information Quality, October 25-26, 1996, Singapore, pp: 25-26.
Friedman, T. and M. Smith, 2011. Measuring the business value of data quality. Gartner Inc., Stamford, CT., USA.
Gupta, V.R., 1997. An introduction to data warehousing. System Services Corporation. http://system-services.com/dwintro.asp.
Han, J. and M. Kamber, 2006. Data Mining: Concepts and Techniques. 2nd Edn., Morgan Kaufmann, San Francisco, CA., USA., ISBN-13: 9781558609013, Pages: 770.
Howard, P., 2011. Data migration. White Paper by Bloor Research, UK., May 2011.
Kahn, B.K., D.M. Strong and R.Y. Wang, 2002. Information quality benchmarks: Product and service performance. Commun. ACM., 45: 184-192.
CrossRef | Direct Link | Knight, S.A. and J. Burn, 2005. Developing a framework for assessing information quality on the world wide web. Inf. Sci. J., 8: 159-172.
Direct Link | Li, X.B., 2002. Data reduction via adaptive sampling. Commun. Inf. Syst., 2: 53-68.
Direct Link | Manek, P., 2003. Microsoft
® CRM data migration framework white paper. Microsoft Corporation.
Manjunath, T.N., R.S. Hegadi and G.K. Ravikumar, 2010. A survey on multimedia data mining and its relevance today. Int. J. Comput. Sci. Network Secur., 10: 165-170.
Direct Link | Manjunath, T.N., R.S. Hegadi and G.K. Ravikumar, 2011. Analysis of data quality aspects in datawarehouse systems. Int. J. Comput. Sci. Inf. Technol., 2: 477-485.
Direct Link | Miles, M.B. and A.M. Huberman, 1994. Qualitative Data Analysis: A Source Book of New Methods. Sage Publications, Thousand Oaks, USA.
NetApp., 2006. Data migration best practices. Network Appliance Global Services, January, 2006. http://www.sqaforums.com/attachments/575862-Data_migration.pdf.
Potts, W.J.E., 1997. Data Mining Using SAS Enterprise Miner Software. SAS Institute Inc., Cary, NC., USA.
Price, R.J. and G. Shanks, 2004. A semiotic information quality framework. Proceedings of the IFIP International Conference on Decision Support Systems, July 1-3, 2004, Prato, Italy, pp: 658-672.
Ravikumar, G.K., J. Rabi, T.N. Manjunath, R.S. Hegadi and R.A. Archana, 2011. Design of data masking architecture and analysis of data masking techniques for testing. Int. J. Eng. Sci., 3: 5150-5159.
Direct Link | Ryu, K.S., J.S. Park and J.H. Park, 2006. A data quality management maturity model. ETRI J., 28: 191-204.
Direct Link | SAS Institute Inc., 1998. SAS institute white paper, from data to business advantage. Data Mining, The SEMMA Methodology and the SAS
® System, SAS Institute Inc., Cary, NC., USA.
TDWI, 2006. The taking data quality to the enterprise through data governance: A report. The Data Warehousing Institute.