Author:
Myneni Madhu Bala,Srividya Y.,Dandamudi Akhil
Reference12 articles.
1. Lakshminarayan K, Harp S. A., and Samad T: Imputation of Missing Data in Industrial Databases: Applied Intelligence, 11: pp. 259–275 (1999).
2. Pearson, R. K.: The problem of disguised missing data: SIGKDD Explor. Newsl. Vol.8, no.1, pp. 83–92 (2006).
3. Grzymala-Busse J. W. and Hu. M.: A Comparison of Several Approaches to Missing Attribute Values in Data Mining: In RSCTC’2000, pp. 340–347 (2000).
4. Hua, M. and Pei, J.: Cleaning disguised missing data: a heuristic approach: In Proceedings of the 13th ACM SIGKDD international Conference on Knowledge Discovery and Data Mining, KDD ‘07. ACM, New York, NY, pp. 950–958, (2007).
5. Calders, T., Goethals, B., and Mampaey, M.: Mining itemsets in the presence of missing values: In Proceedings of the 2007 ACM Symposium on Applied Computin (2007).
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献