2Aebi, D., Perrochon, L. Towards improving data quality. In: Sarda, N.L., ed. Proceedings of the International Conference on Information Systems and Management of Data. Delhi, 1993. 273～281.
3Wang, R.Y., Kon, H.B., Madnick, S.E. Data quality requirements analysis and modeling. In: Proceedings of the 9th International Conference on Data Engineering. Vienna: IEEE Computer Society, 1993. 670～677.
4Rahm, E., Do, H.H. Data cleaning: problems and current approaches. IEEE Data Engineering Bulletin, 2000,23(4):3～13.
5Galhardas, H., Florescu, D., Shasha, D., et al. AJAX: an extensible data cleaning tool. In: Chen, W.D., Naughton, J.F., Bernstein, P.A., eds. Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data. Texas: ACM, 2000. 590.
6Hernandez, M.A., Stolfo, S.J. Real-World data is dirty: data cleansing and the merge/purge problem. Data Mining and Knowledge Discovery, 1998,2(1):9～37.
7Lee, M.L., Ling, T.W., Lu, H.J., et al. Cleansing data for mining and warehousing. In: Bench-Capon, T., Soda, G., Tjoa, A.M., eds. Database and Expert Systems Applications. Florence: Springer, 1999. 751～760.
8Monge, A.E. Matching algorithm within a duplicate detection system. IEEE Data Engineering Bulletin, 2000,23(4):14～20.
9Monge, A.E., Elkan, C. The field matching problem: algorithms and applications. In: Simoudis, E., Han, J.W., Fayyad, U., eds. Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining. Oregon: AAAI Press, 1996. 267～270.
10Savasere, A., Omiecinski, E., Navathe, S.B. An efficient algorithm for mining association rules in large databases. In: Dayal, U., Gray, P., Nishio, S., eds. Proceedings of the 21st International Conference on Very Large Data Bases. Zurich: Morgan Kaufmann, 1995. 432～444.
