Empirical Bayes screening for multi-item associations

Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2001, Pages 67-76

  DuMouchel, William ^a   Pregibon, Daryl ^a  

^a AT AND T LABS RESEARCH   (United States)

Author keywords

Association rules; Empirical Bayes methods; Gamma Poisson model; Market basket problem; Shrinkage estimation

Indexed keywords

DATABASE SYSTEMS; KNOWLEDGE ENGINEERING; MATHEMATICAL MODELS; PROBABILITY; RANDOM PROCESSES;

BAYES MODEL;

DATA MINING;

EID: 0035789655     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/502512.502526     Document Type: Conference Paper

References (15)

1. Aggarwal CC, Yu PS (1998) A new framework for item set generation. Proc. of ACM-PODS Symposium on Principles of Database Systems, Seattle, WA, pp. 18-24.
2. Agrawal R, Imilienski T, Swami A (1993) Mining association rules between sets of items in large databases. Proc. ACM SIGMOD Intl. Conf On Mgnt. of Data, pp. 207-216.
3. th VLDB Conf, Santiago, Chile.
4. Agresti A (1990) Categorical Data Analysis. New York: John Wiley.
5. Bishop YMM, Fienberg SE, Holland PW (1975) Discrete Multivariate Analysis Cambridge, MA: MIT Press.
6. Brin S, Motwani R, Ullman JD, Tsur S (1997) Dynamic item set counting and implication rules for market basket data. Proc. ACM SIGMOD 1997 Intl. Conf. on Mgnt. of Data, pp. 255-264.
7. Bryck A, Raudenbush S (1992) Hierarchical Linear Models. Newbury Park, CA: Sage Publications.
8. DuMouchel W (1999) Bayesian data mining in large frequency tables, with an application to the FDA Spontaneous Reporting System (with discussion), The American Statistician, 53:177-202.
9. DuMouchel W, Friedman C, Hripcsak G, Johnson S, Clayton P (1996) Two applications of statistical modeling to natural language processing. AI and Statistics V, ch. 39, edited by D. Fisher and H. Lenz, Springer-Verlag.
10. DuMouchel W, Volinsky C, Johnson T, Cortes C, Pregibon D (1999) Squashing flat files flatter, Proc. KDD 1999, ACM Press, San Diego, CA, p. 6-15.
11. Johnson N, Kotz S (1969) Discrete Distributions. Houghton Mifflin, now distributed by New York: John Wiley.
12. Mantel N, Haenszel W (1959) Statistical aspects of the analysis of data from retrospective studies of disease. J. Natl. Cancer Inst. 22: 719-748.
13. O'Hagan A (1994) Kendall's Advanced Theory of Statistics, vol. 2, Bayesian Inference. New York: Halstead Press (John Wiley).
14. Silverstein C, Brin S, Motwani R (1998) Beyond market baskets: generalizing association rules to dependence rules. Data Mining and Knowledge Discovery. 2: 39-68.
15. Simpson EH (1951) The interpretation of interaction in contingency tables. J. Royal Statistical Soc., B 13:238-241.