№2, 2014
COMPARISON ANALYSIS OF ASSOCIATION RULES SEARCH TO COMPARE EDUCATIONAL PROGRAMS OF ICT PROFESSIONS IN WORLD UNIVERSITIES
The article discusses the comparative analysis of the ICT professions education programs of world leading universities using Data Mining methods (extraction of desired information in large volumes of data). Using the search methods of mining association rules now allows to raise the question of the informational support in comparative analysis procedure of university education programs. (pp. 40-45)
Keywords: educational programs, disciplines list, multiple transactions, association rules
References
- Образовательное законодательство и образовательные системы зарубежных стран. Под. ред. проф. Козырина А.Н., М., Academia, 2007, 432 c.
- berkeley.edu, www.mit.edu, www.stanford.edu, www.nus.edu.sg, www.ucsb.edu, www.polytechnique.edu, www.ethz.ch, www.cam.ac.uk, www.u-tokyo.ac.jp/en/, www.ust.hk.
- Кузьменко В.И. Data Mining: поиск закономерностей. http://www.cnews.ru/reviews/new/rynok_bi_v_rossii_2013/articles/data_mining_poisk_zakonomernostej/
- Дюк В.А., Самойленко А.П. Data Mining: учебный курс. СПб.: Питер, 2001, с.368.
- Поиск ассоциативных правил в Data Mining. Лекции Новосибирского технического государственного университета, 2013. www.ami.nstu.ru.
- Смит Д.М., Смит Д.К. Абстракции баз данных: агрегация и обобщение. Системы управления базами данных. 2006, №2, с.141–160.
- Agrawal R., Srikant R. Fast algorithms for mining association rules. 20th VLDB Conference, Santiago, Chile, 1994, pp.487–499.
- Park J.S., Chen M.S., and Yu P.S. Efficient parallel mining for association rules. In Proc. of the 4th Int. Conf. on Information and Knowledge Management, Baltimore, Maryland, 1995, pp.31–36.