CrossMine: Efficient classification across multiple database relations

Proceedings - International Conference on Data Engineering

Volumn 20, Issue , 2004, Pages 399-410

  Yin, Xiaoxin ^a   Han, Jiawei ^a   Yang, Jiong ^a   Yu, Philip S ^b  

^a UIUC   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ENTITY RELATIONSHIP LINKS; INDUCTIVE LOGIC PROGRAMMING (ILP) SYSTEMS; MULTI RELATIONAL CLASSIFICATION; SYNTHETIC DATABASE;

COMPUTER PROGRAMMING; DATA MINING; DATA STRUCTURES; DECISION MAKING; SEMANTICS; TELECOMMUNICATION LINKS; VIRTUAL REALITY;

DATABASE SYSTEMS;

EID: 2442458705     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. H. Blocked, L. De Raedt, and J. Ramon. Top-down induction of logical decision trees. In Proc. 1998 Int. Conf. Machine Learning (ICML'98), Madison, WI, Aug. 1998.
2. C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2:121-168, 1998.
3. P. Clark and R. Boswell. Rule induction with CN2: Some recent improvements. In Proc. 1991 European Working Session on Learning (EWSL'91), Porto, Portugal, Mar. 1991.
4. L. Dehaspe and H. Toivonen. Discovery of Relational Association Rules. Springer-Verlag, 2000.
5. H. Garcia-Molina, J. D. Ullman, and J. Widom. Database Systems: The Complete Book. Prentice Hall, 2002.
6. J. Gehrke, R. Ramakrishnan, and V. Ganti. Rainforest: A framework for fast decision tree construction of large datasets. In Proc. 1998 Int. Conf. Very Large Data Bases (VLDB'98), New York, NY, Aug. 1998.
7. L. Getoor, N. Friedman, D. Koller, and B. Taskar. Learning probabilistic models of relational structure. In Proc. 2001 Int. Conf. Machine Learning (ICML'01), Williamtown, MA, 2001.
8. N. Lavrac and S. Dzeroski. Inductive Logic Programming: Techniques and Applications. Ellis Horwood, 1994.
9. T. M. Mitchell. Machine Learning. McGraw Hill, 1997.
10. S. Muggleton. Inductive Logic Programming. Academic Press, New York, NY, 1992.
11. S. Muggleton. Inverse entailment and progol. In New Generation Computing, Special issue on Inductive Logic Programming, 1995.
12. S. Muggleton and C. Feng. Efficient induction of logic programs. In Proc. 1990 Conf. Algorithmic Learning Theory, Tokyo, Japan, 1990.
13. A. Popescul, L. Ungar, S. Lawrence, and M. Pennock. Towards structural logistic regression: Combining relational and statistical learning. In Proc. Multi-Relational Data Mining Workshop, Alberta, Canada, 2002.
14. J. R. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann, 1993.
15. J. R. Quinlan and R. M. Cameron-Jones. FOIL: A midterm report. In Proc. 1993 European Conf. Machine Learning, Vienna, Austria, 1993.
16. B. Taskar, E. Segal, and D. Koller. Probabilistic classification and clustering in relational data. In Proc. 2001 Int. Joint Conf. Artificial Intelligence, Seattle, WA, 2001.
17. X. Yan and J. Han. gSpan: Graph-based substructure pattern mining. In Proc. 2002 Int. Conf. on Data Mining (ICDM'02), Maebashi, Japan, Dec. 2002.