The STUDIA UNIVERSITATIS BABE┼×-BOLYAI issue article summary

The summary of the selected article appears at the bottom of the page. In order to get back to the contents of the issue this article belongs to you have to access the link from the title. In order to see all the articles of the archive which have as author/co-author one of the authors mentioned below, you have to access the link from the author's name.

    STUDIA INFORMATICA - Issue no. 1 / 2013  

Authors:  TIBERIU BAN.

Students tend to make mistakes in evaluation tests that follow a pattern which can be mined; this allows the level of complexity for a given set of tasks in a test paper to be computed in advance. The goal of this paper is to present a mathematical way to compute the level of complexity for a given set of tasks based on a fuzzy model as an improvement from the crisp model. This indicator can be effectively used to predict in advance the degree in which the association rules already mined will trigger chains of mistakes in a given set of evaluation tasks.

2010 Mathematics Subject Classification. 68P15.1998 CR Categories and Descriptors. H.2.8. [Database Applications]: DataMining -Data Association Methods.

Key words and phrases. Data Mining, Data Association, APriori, Complexity of Test Paper, Mathematical Model of Mistakes.

      Back to previous page