How to cite this paper
Moossavizadeh, S., Mohsenzadeh, M & Arshadi, N. (2012). A new approach to measure believability dimension of data quality.Management Science Letters , 2(7), 2565-2570.
Refrences
Batini, C., Cappiello, C., Francalanci, C., & Maurino, A. (2009). Methodologies for data quality assessment and improvement. ACM Computing Surveys, 41(3), 1-52.
Batini, C., & Scannapieco, M. (2006). Data Quality: Concepts, Methodologies and Techniques. Springer Verlag.
Juran, J. M., & Gryna, Jr, F. M. (1980). Quality Planning and Analysis. 2nd ed., McGraw-Hill, New York, 1980.
Moossavizadeh, S.M.H., Mohsenzadeh, M., & Arshadi, N. (2011). A New Precautionary Method for Measurement and Improvement of the Data Quality. International Conference on the Software and Knowledge Engineering, Paris.
Moossavizadeh, S.M.H., Mohsenzadeh, M., & Arshadi, N.A. (2012). New algorithmic approach to detect the good point access in the precautionary process for data quality. 2nd IEEE International Conference on Computer Science and Service System, China.
Olson, J. E. (2002). Data Quality - The Accuracy Dimension. Morgan Kaufmann Publishers.
Prat, N., & Madnick, S. (2008). Measuring data believability: A provenance approach. Proceedings of the 41st Hawaii International Conference on System Sciences, 393.
Pipino, L., Lee, Y., & Wang, R. (2002). Data Quality Assessment. Communications of the ACM, 45(4), 184-192.
Batini, C., & Scannapieco, M. (2006). Data Quality: Concepts, Methodologies and Techniques. Springer Verlag.
Juran, J. M., & Gryna, Jr, F. M. (1980). Quality Planning and Analysis. 2nd ed., McGraw-Hill, New York, 1980.
Moossavizadeh, S.M.H., Mohsenzadeh, M., & Arshadi, N. (2011). A New Precautionary Method for Measurement and Improvement of the Data Quality. International Conference on the Software and Knowledge Engineering, Paris.
Moossavizadeh, S.M.H., Mohsenzadeh, M., & Arshadi, N.A. (2012). New algorithmic approach to detect the good point access in the precautionary process for data quality. 2nd IEEE International Conference on Computer Science and Service System, China.
Olson, J. E. (2002). Data Quality - The Accuracy Dimension. Morgan Kaufmann Publishers.
Prat, N., & Madnick, S. (2008). Measuring data believability: A provenance approach. Proceedings of the 41st Hawaii International Conference on System Sciences, 393.
Pipino, L., Lee, Y., & Wang, R. (2002). Data Quality Assessment. Communications of the ACM, 45(4), 184-192.