An novel association rule mining based missing nominal data imputation method

Proceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing

Volumn 3, Issue , 2007, Pages 244-249

  Wu, Jianhua ^a,b   Song, Qinbao ^a   Shen, Junyi ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b JINAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; DATA MINING; PROBLEM SOLVING; SECURITY OF DATA;

ASSOCIATION RULE RANKING; DATA IMPUTATION METHODS; DATA QUALITY;

ASSOCIATION RULES;

EID: 35148823211     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SNPD.2007.163     Document Type: Conference Paper

References (16)

1. Qinbao Song, Martin Shepperd, Michelle Cartwright, "A Short Note on Safest Default Missingness Mechanism Assumptions", Empirical Software Engineering, Vol 10, No. 2, pp. 235-243, 2005
2. Rubin, D. B., "An Overview of Multiple Imputation". Proceedings of the Survey Research Section, American Statistical Association, pp.79-84, 1988.
3. Rubin, D. B., Multiple Imputation for Nonresponses in Surveys, New York, John Wiley & Sons, 1987.
4. K. Ali, S. Manganaris, and R. Srikant, "Partial Classification Using Association Rules," Proc. Third Int'l Conf. Knowledge Discovery and Data Mining, pp. 115-118, 1997.
5. Arotaritel D, "Mining Fuzzy Association Rules in Incomplete Databases", IEEE International Conference on Fuzzy Systems,Vol 1 & 2, pp. 267-271, 2002
6. Kandara M,Kandara O, "Association Rules to Recover the Missing Data Value for an Attribute in a Database", 7thWorld Multiconference on Systemics, pp. 1-6, 2003
7. Jau-Ji Shen, Ming-Tsung Chen, " Recycle Technique of Association Rule for Missing Value Completion", Proceedings of the 17th International Conference on Advanced Information Networking and Applications, pp. 526-529, 2003
8. Mila Klemettinen Heikki Marmila Pirjo Ronkainen Hannu Toivoned A.Inkeri Verkamo, "Finding Interesting Rules from Large Sets of Discouered Association Rules", Proceedings of the third international conference on Information and knowledge management , pp. 401-407, 1994
9. Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava, "Selecting the Right Interestingness Measure for Association Patterns", Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 32-41, 2002
10. Wen-Yang Lin,Ming-Cheng Tseng,"Automated Support Specification for Efficient Mining of Interesting Association Rules", Journal of Information Science, Vol 32, No. 3, pp. 238-250, 2006
11. Yin, Jian; Zhou, Xiangfu; Yang, Min, "Data Mining in Incomplete Database", Jisuanji Gongcheng/Computer Engineering, Vol 32, No 12, pp. 34-36, 2006
12. Gerardo BD, Lee J, Lee J, Park M, Lee M, "The Association Rule Algorithm with Missing data in Data Mining", International Conference on Computational Science and Its Applications, pp. 97-105, 2004
13. Konias S, Gogou G, Bamidis PD, Vlahavas I, Maglaveras N , "Predicting Missing Values in a Home care Database Using an Adaptive Uncertainty Rule Method", Methods of Information in Medicine , Vol 44, No. 5, pp. 639-646, 2005
14. Jiawei Han, Micheline Kamber, Data Mining Concepts and Techniques, Bei Jing, Higher Education Press, pp. 227-228, 2001
15. Wu, Chih-Hung; Wun, Chian-Huei; Chou, Hung-Ju, "Using Association Rules for Completing Missing Data", 4th International Conference on Hybrid Intelligent Systems, pp. 236-241, 2004
16. Qinbao Song, Martin Shepperd, Michelle Cartwright, Carolyn Mair, " Software Defect Association Mining and Defect Correction Effort Prediction" , IEEE Transactions on Software Engineering, Vol 32, No.2, pp. 69-82, 2006