No abstract available.
Cited By
- Aqlan F and Nwokeji J Applying Product Manufacturing Techniques to Teach Data Analytics in Industrial Engineering: A Project Based Learning Experience 2018 IEEE Frontiers in Education Conference (FIE), (1-7)
- Xu H (2015). What Are the Most Important Factors for Accounting Information Quality and Their Impact on AIS Data Quality Outcomes?, Journal of Data and Information Quality (JDIQ), 5:4, (1-22), Online publication date: 3-Mar-2015.
- Todoran I, Lecornu L, Khenchaf A and Caillec J (2015). A Methodology to Evaluate Important Dimensions of Information Quality in Systems, Journal of Data and Information Quality, 6:2-3, (1-23), Online publication date: 21-Jul-2015.
- Wan W, Xu H, Zhang W, Hu X and Deng G (2011). Questionnaires-based skin attribute prediction using Elman neural network, Neurocomputing, 74:17, (2834-2841), Online publication date: 1-Oct-2011.
- Malchiodi D (2019). An experimental analysis of the impact of accuracy degradation in SVM classification, International Journal of Computational Intelligence Studies, 1:2, (163-190), Online publication date: 1-Feb-2009.
- Shi Y FuzzyShrinking Proceedings of the 46th Annual Southeast Regional Conference on XX, (260-263)
- Gonçalves M, Moreira B, Fox E and Watson L (2007). "What is a good digital library?" - A quality model for digital libraries, Information Processing and Management: an International Journal, 43:5, (1416-1437), Online publication date: 1-Sep-2007.
- Yu L, Wang S and Lai K (2006). An Integrated Data Preparation Scheme for Neural Network Data Analysis, IEEE Transactions on Knowledge and Data Engineering, 18:2, (217-230), Online publication date: 1-Feb-2006.
- Dasu T, Vesonder G and Wright J Data quality through knowledge engineering Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, (705-710)
- Korn F, Muthukrishnan S and Zhu Y Checks and balances Proceedings of the 29th international conference on Very large data bases - Volume 29, (536-547)
- Shi Y, Song Y and Zhang A A shrinking-based approach for multi-dimensional data analysis Proceedings of the 29th international conference on Very large data bases - Volume 29, (440-451)
- Lee Y, Strong D, Kahn B and Wang R (2002). AIMQ, Information and Management, 40:2, (133-146), Online publication date: 1-Dec-2002.
- Orman L (2019). Database audit and control strategies, Information Technology and Management, 2:1, (27-51), Online publication date: 31-Jan-2001.
- Ballou D and Tayi G (1999). Enhancing data quality in data warehouse environments, Communications of the ACM, 42:1, (73-78), Online publication date: 1-Jan-1999.
- Bhandari I, Colet E, Parker J, Pines Z, Pratap R and Ramanujam K (1997). Advanced Scout, Data Mining and Knowledge Discovery, 1:1, (121-125), Online publication date: 1-Jan-1997.
- Klein B, Goodhue D and Davis G (2018). Can humans detect errors in data? Impact of base rates, incentives, and goals, MIS Quarterly, 21:2, (169-194), Online publication date: 1-Jun-1997.
- Orman L Database auditing Proceedings of the eighteenth international conference on Information systems, (297-314)
- Wang R and Strong D (2018). Beyond accuracy, Journal of Management Information Systems, 12:4, (5-33), Online publication date: 1-Mar-1996.
- Wang R, Storey V and Firth C (1995). A Framework for Analysis of Data Quality Research, IEEE Transactions on Knowledge and Data Engineering, 7:4, (623-640), Online publication date: 1-Aug-1995.
Index Terms
- Data quality: management and technology
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