Work

Generating Non-redundant Multilevel Association Rules Using Min-max Exact Rules

Year: 2018
Type: article
Abstract: Association Rule mining plays an important role in the discovery of knowledge and information. Association Rule mining discovers huge number of rules for any dataset for different support and confidence values, among this many of them are redundant, especially in the case of multi-level datasets. Mining non-redundant Association Rules in multi-level dataset is a big concern in field of Data mining. In this paper, we present a definition for redundancy and a concise representation called Reliable Exact basis for representing non-redundant Association Rules from multi-level datasets. The given non-redundant Association Rules are loss less representation for any datasets.
Authors: R. Vijaya Prakash, S. S. V. N. Sarma, M. Sheshikala
Language: English
Open Access status: diamond
OpenAlex ID: W2953398480
FWCI: 0.402
Cites: 19
Cited by: 1
Related to: 10