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kirjandus

(in English)

http://www.datalaundering.com/download/extrem01.pdf

Муллат, И. Э. (1976). Экстремальные подсистемы монотонных систем. I.
Автоматика и телемеханика, 1976, No. 5, pp. 130-139

(in English)

http://www.datalaundering.com/download/extrem02.pdf

Муллат, И. Э. (1976). Экстремальные подсистемы монотонных систем. II.
Автоматика и телемеханика, 1976, No. 8, pp. 169-178

http://digi.lib.ttu.ee/i/?28

Kumlander, D. (2005). Some practical algorithms to solve the maximum clique problem.
Doktoritöö. Tallinna Tehnikaülikool

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5358516

Kuusik, R.; Treier, T.; Lind, G.; Roosmann, P. (2009). Machine Learning Task as a Diclique Extracting Task.
The 6th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'09), Tianjin, China, August 14-16, 2009; pp. 555-560

http://innar.liiv.ee/KUUSIK_LIIV_LIND_AIA2005.PDF

Kuusik, R., Liiv, I., Lind, G. (2005). An Efficient Method for Post Analysis of Patterns.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, Innsbruck, Austria, 2005. ACTA Press, pp.101-105

http://nguyendangbinh.org/Proceedings/IPCV08/Papers/DMI5523.pdf

Lind, G., Kuusik, R. (2008). Some Problems in Determinacy Analysis Approaches Development.
Proceedings of the 2008 International Conference on Data Mining (DMIN 2008), Las Vegas, Nevada, USA, July 14-17, 2008. CSREA Press, pp.102-108

http://www.datalaundering.com/download/cardgraf.pdf

Mullat, I.; Vyhandu, L. (1979). Monotonic systems in scene analysis.
Symposium. Mathematical processing of cartographic data, Tallinn, 1979, pp. 63-66

http://www.datalaundering.com/download/cliques.pdf

Kuusik, R. (1995). Extracting of all maximal cliques: monotonic system approach.
Proc. of the Estonian Academy of Sciences. Engineering, 1995, No. 1, pp. 113-138

http://www.datalaundering.com/download/hidden.pdf

Võhandu, L.; Kuusik, R. (1993). Cliques and algorithms with a hidden parallelity.
Transactions of Tallinn Technical University, No. 734, 1993, pp. 63-74

http://www.datalaundering.com/download/monsarithm.pdf

Kuusik, R.; Lind, G. (2004). Generator of Hypotheses – an Approach of Data Mining Based on Monotone Systems Theory.
International Journal of Computational Intelligence, vol.1, 2004, pp. 49-53

http://www.universitypress.org.uk/journals/ami/ami-30.pdf

Roosmann, P., Võhandu, L., Kuusik, R., Treier, T., Lind, G. (2008). Monotone Systems approach in Inductive Learning.
International Journal of Applied Mathemtics and Informatics, 2(2), pp. 47-56

http://www.wseas.us/e-library/conferences/2005corfu/c1/papers/498-666.pdf

Torim, A., Kuusik, R. (2005). Describing Data Table with Best Decision.
Proceedings of the 5th WSEAS International Conference on Simulation, Modeling and Optimization, Corfu, Greece, August 17-19, 2005, pp. 152-157

http://www.wseas.us/e-library/conferences/2007corfu/papers/540-155.pdf

Liiv, I., Kuusik, R., Võhandu, L. (2007). Conformity analysis with structured query language.
Proceedings of the 6th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases, Corfu Island, Greece, February 16-19, 2007, pp. 187-189

http://www.wseas.us/e-library/transactions/information/2008/26-122.pdf

Kuusik, R., Lind, G. (2008). Algorithm MONSA for All Closed Sets Finding: basic concepts and new pruning techniques.
WSEAS Transactions on Information Science and Applications, 5(5), May 2008, pp. 599-611

http://www.wseas.us/e-library/transactions/information/2008/28-344.pdf

Lind, G., Kuusik, R. (2008). New developments for Determinacy Analysis: diclique-based approach.
WSEAS Transactions on Information Science and Applications, 5(10), October 2008, pp. 1458-1469