CUBE-SPLIT TECHNIQUE IN QUANTITATIVE ASSOCIATION RULE MINING

Alberto Arteta, Spain, Juan Castellanos, Spain, Vladimir Donchenko, Koen Vanhoof, Vladimir Jotsov, Bulgaria Krassimira, B Ivanova, Bulgaria, Vladimir Ryazanov, Russia (+5 others)
2017 Number 3 International Journal "INFORMATION THEORIES & APPLICATIONS   unpublished
Levon Aslanyan (Armenia) Aleksey Voloshin (Ukraine) Luis F. de Mingo (Spain) Alexander Eremeev (Russia) Lyudmila Lyadova (Russia) Alexander Kleshchev (Russia) Martin P. Mintchev (Canada) Alexander Palagin (Ukraine) Natalia Bilous (Ukraine) Alfredo Milani (Italy) Natalia Pankratova (Ukraine) Avtandil Silagadze (Georgia) Rumyana Kirkova (Bulgaria) Avram Eskenazi (Bulgaria) Stoyan Poryazov (Bulgaria) Boris Fedunov (Russia) Tatyana Gavrilova (Russia) Constantine Gaindric (Moldavia) Tea Munjishvili
more » ... Georgia) Elena Chebanyuk (Ukraine) Teimuraz Beridze (Georgia) Galina Rybina (Russia) Valeriya Gribova (Russia) Giorgi Gaganadize (Georgia) Vasil Sgurev (Bulgaria) Hasmik Sahakyan (Armenia) Vitalii Velychko (Ukraine) Ilia Mitov (Bulgaria) Vitaliy Lozovskiy (Ukraine) International Journal "INFORMATION THEORIES & APPLICATIONS" (IJ ITA) is official publisher of the scientific papers of the members of the ITHEA International Scientific Society IJ ITA welcomes scientific papers connected with any information theory or its application. IJ ITA rules for preparing the manuscripts are compulsory. The rules for the papers for IJ ITA are given on www.ithea.org. Responsibility for papers published in IJ ITA belongs to authors. Abstract: In this paper we consider association rules mining in tables with quantitative attributes. The chain split technique of finding frequent itemsets, known in Boolean association rule mining domain, is extended to the "cube-split" technique being used for finding frequent itemsets for the case of specific quantitative attributes.
fatcat:zddfuoba25bwdbmcdgzs77ah3m