Object

Title: Cube-Split technique in quantitative association rule mining

Co-author(s) :

Sahakyan Hasmik

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.

Publisher:

ITHEA

Date of publication:

2017

Identifier:

oai:noad.sci.am:135905

ISSN:

1310-0513

Language:

English

Journal or Publication Title:

Information Theories and Applications

Volume:

24

Number:

3

URL:


Additional Information:

hsahakyan@sci.am ; lasl@sci.am

Affiliation:

Institute for Informatics and Automation Problems

Country:

Armenia

Indexing:

Other ; Другие

Object collections:

Last modified:

Mar 3, 2021

In our library since:

Jul 27, 2020

Number of object content hits:

6

All available object's versions:

https://noad.sci.am/publication/149498

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

Objects

Similar

This page uses 'cookies'. More information