Open AccessConstruction of the classifying test items with quantitative diagnostic indicators
Author(s) -
Laura Gudelytė,
Aleksandras Krylovas,
Tadas Laukevičius,
Natalja Kosareva
Publication year - 2012
Publication title -
lietuvos matematikos rinkinys
Language(s) - English
Resource type - Journals
eISSN - 2335-898X
pISSN - 0132-2818
DOI - 10.15388/lmr.b.2012.14
Subject(s) - disjoint sets , set (abstract data type) , computer science , test (biology) , data mining , algorithm , machine learning , artificial intelligence , mathematics , combinatorics , programming language , paleontology , biology
Method which describes destribution af elements of the finite set to disjoint groups, allowing to obtain of elements in the sense of proposed criterion, is described in the paper. The methodology is based on some combinatorial algorithm and can be useful for social science problems solving, when statistical methods application complicated.