Molecular feature mining in HIV data

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

Volumn , Issue , 2001, Pages 136-143

  Kramer, Stefan ^a   De Raedt, Luc ^a   Helma, Christoph ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DNA; FEATURE EXTRACTION; LOGIC PROGRAMMING; MOLECULAR BIOLOGY; QUERY LANGUAGES; RELATIONAL DATABASE SYSTEMS;

HUMAN IMMUNO DEFICIENCY VIRUS (HIV);

DATA MINING;

EID: 0035789622     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/502512.502533     Document Type: Conference Paper

References (23)

1. R. Agrawal, T. Imielinski, A. Swami. Mining association rules between sets of items in large databases, in: Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, 207-216, 1993.
2. R. Bayardo. Efficiently mining long patterns from databases, in: SIGMOD 1998: Proceedings of ACM SIGMOD International Conference on Management of Data, 85-93, 1998.
3. L. Dehaspe, H. Toivonen, R.D. King. Finding frequent substructures in chemical compounds. in: Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 30-36, AAAI press, 1998.
4. L. Dehaspe, H. Toivonen. Discovery of frequent datalog patterns. in Data Mining and Knowledge Discovery 3(1):7-36, 1999.
5. L. De Raedt. A logical database mining query language. in: Proceedings of the 10th Inductive Logic Programming Conference, 78-92, Lecture Notes in Artificial Intelligence, Vol. 1866, Springer Verlag, 2000.
6. L. De Raedt, S. Kramer. The levelwise version space algorithm and its application to molecular fragment finding. in: Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI-01), 2001.
7. D. Gunopulos, H. Mannila, S. Saluja. Discovering all most specific sentences by randomized algorithms. In F.N. Afrati, P. Kolaitis (eds.): Database Theory - ICDT '97, 6th International Conference, 215-229, Lecture Notes in Computer Science 1186, Springer, 1997.
8. J. Han, L. V. S. Lakshmanan, R. T. Ng. Constraint-based, multidimensional data mining. Computer, Vol. 32(8):46-50, 1999.
9. H. Hirsh. Generalizing version spaces. Machine Learning, Vol. 17(1):5-46, 1994.
10. T. Imielinski, H. Mannila. A database perspective on knowledge discovery. Communications of the ACM, 39(11):58-64, 1996.
11. C.A. James, D. Weininger, J. Delany. Daylight theory manual - Daylight 4.71, Daylight Chemical Information Systems, 2000. http://www.daylight.com/
12. D.D. Jensen, P.R. Cohen. Multiple comparisons in induction algorithms. Machine Learning 38(3):309-338, 2000.
13. S. Kramer, L. De Raedt. Feature construction with version spaces for biochemical applications. in: Proceedings of the Eighteenth International Conference on Machine Learning (ICML-01), 2001.
14. H. Mannila, H. Toivonen. Levelwise search and borders of theories in knowledge discovery. Data Mining and Knowledge Discovery, 1(3):241-258, 1997.
15. R. Meo, G. Psaila, S. Ceri. An extension to SQL for mining association rules. Data Mining and Knowledge Discovery, 2(2):195-224, 1998.
16. C. Mellish. The description identification problem. Artificial Intelligence, 52(2):151-167, 1991.
17. T.M. Mitchell. Generalization as search, Artificial Intelligence, 18(2), 1982.
18. A. Inokuchi, T. Washio, H. Motoda. An Apriori-based algorithm for mining frequent substructures from graph data. in: D. Zighed, J. Komorowski, J. Zyktow (eds.), Proceedings of the Fourth European Conference on Principles of Data Mining and Knowledge Discovery (PKDD-2000), 13-23, Lecture Notes in Artificial Intelligence, Vol. 1910, Springer-Verlag, 2000.
19. A. Srinivasan, R. King. Feature construction with inductive logic programming: a study of quantitative predictions of biological activity aided by structural attributes. Data Mining and Knowledge Discovery, 3(1):37-57, 1999.
20. A. Srinivasan, R.D. King, D.W. Bristol. An assessment of submissions made to the predictive toxicology evaluation challenge. in: Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI-99), 270-275, 1999.
21. D. Weininger. SMILES 1. Introduction and encoding rules. Journal of Chemical Information and Computer Sciences, 28, 31, 1988.
22. D. Weininger, A. Weininger, J.L Weininger. SMILES II, algorithm for generation of unique SMILES notation. Journal of Chemical Information and Computer Sciences, 29, 97, 1989.
23. Weislow, O.S., R. Kiser, D.L. Fine, J.P. Bader, R.H. Shoemaker, M.R. Boyd. New soluble formazan assay for HIV-1 cytopathic effects: application to high flux screening of synthetic and natural products for AIDS antiviral activity. Journal of the National Cancer Institute, 81:577-586, 1989.