Title :
Consideration on a formal frame for data mining
Author_Institution :
Fac. of Inf. & Stat., Univ. of Econ., Prague, Czech Republic
Abstract :
A formal framework for data mining with association rules is introduced. Its goal is to help to understand better to a data mining process and to be a platform to automate this process. Association rules are understood as general relations of two boolean attributes.
Keywords :
Boolean functions; data mining; association rules; boolean attributes; data mining process; formal framework; Association rules; Blood pressure; Calculus; Educational institutions; Nominations and elections; GUHA method; association rules; formal framework for data mining; logic of association rules; logic of discovery;
Conference_Titel :
Granular Computing (GrC), 2011 IEEE International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4577-0372-0
DOI :
10.1109/GRC.2011.6122658
