Results 11 to 20 of about 16,254 (263)

Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach

open access: yesWasit Journal of Computer and Mathematics Science, 2023
The Apriori algorithm creates all possible association rules between items in the database using the Association Rule Mining and Apriori Algorithm. Using Ant Colony Optimization, a new algorithm is proposed for improving association rule mining results.
Roni La’biran, Muhammad Kristiawan
doaj   +1 more source

Path association rule mining

open access: yesCoRR, 2022
Graph association rule mining is a data mining technique used for discovering regularities in graph data. In this study, we propose a novel concept, {\it path association rule mining}, to discover the correlations of path patterns that frequently appear in a given graph.
openaire   +2 more sources

Mining Association rules for Low-Frequency itemsets. [PDF]

open access: yesPLoS ONE, 2018
High utility itemset mining has become an important and critical operation in the Data Mining field. High utility itemset mining generates more profitable itemsets and the association among these itemsets, to make business decisions and strategies ...
Jimmy Ming-Tai Wu   +2 more
doaj   +1 more source

DPARM: Differentially Private Association Rules Mining

open access: yesIEEE Access, 2020
Association analysis is critical in data analysis performed to find all co-occurrence relationships ($i.e$ ., frequent itemsets or confident association rules) from the transactional dataset.
Yao-Tung Tsou   +4 more
doaj   +1 more source

Employing data mining to explore association rules in drug addicts [PDF]

open access: yesJournal of Artificial Intelligence and Data Mining, 2014
Drug addiction is a major social, economic, and hygienic challenge that impacts on all the community and needs serious threat. Available treatments are successful only in short-term unless underlying reasons making individuals prone to the phenomenon are
Farzaneh Zahedi   +1 more
doaj   +1 more source

Data on coding association rules from an inpatient administrative health data coded by International classification of disease - 10th revision (ICD-10) codes

open access: yesData in Brief, 2018
Data presented in this article relates to the research article entitled “Exploration of association rule mining for coding consistency and completeness assessment in inpatient administrative health data” (Peng et al.
Mingkai Peng   +6 more
doaj   +1 more source

Pembentukan Temporal Association Rules Menggunakan Algoritma Apriori (Studi Kasus:Toko Batik Diyan Solo)

open access: yesIJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2016
In this study the adding of time aspect on association rules mining result was used. The aspect of time that was used in this study was date of transactions.
Annisa Mauliani   +2 more
doaj   +1 more source

Efficient Mining Support-Confidence Based Framework Generalized Association Rules

open access: yesMathematics, 2022
Mining association rules are one of the most critical data mining problems, intensively studied since their inception. Several approaches have been proposed in the literature to extend the basic association rule framework to extract more general rules ...
Amira Mouakher   +2 more
doaj   +1 more source

AN ADAPTIVE GRADUAL RELATIONAL ASSOCIATION RULES MINING APPROACH

open access: yesStudia Universitatis Babes-Bolyai: Series Informatica, 2018
This paper focuses on adaptive Gradual Relational Association Rules mining. Gradual Relational Association Rules capture gradual generic relations among data features.
Diana-Lucia MIHOLCA
doaj   +1 more source

An Efficient Association Rules Algorithms for Medical Test Analysis [PDF]

open access: yesEngineering and Technology Journal, 2016
Data Mining denotes mining knowledge from hugequantity of data. All algorithms of association rules mining include ‘first finding frequency of item sets, which accept a minimum support threshold, and then calculates confidence percentage for all k-item ...
Ahmed Tariq Sadiq, Alaa Sameer Ali
doaj   +1 more source

Home - About - Disclaimer - Privacy