Results 21 to 30 of about 25,851 (312)
Coverage-Based Classification Using Association Rule Mining
Applied Sciences, 2020 Building accurate and compact classifiers in real-world applications is one of the crucial tasks in data mining nowadays. In this paper, we propose a new method that can reduce the number of class association rules produced by classical class association
Jamolbek Mattiev, Branko Kavsek
doaj +1 more source
arules - A Computational Environment for Mining Association Rules and Frequent Item Sets [PDF]
, 2005 Mining frequent itemsets and association rules is a popular and well researched approach for discovering interesting relationships between variables in large databases.
Bettina Grün +6 more
core +1 more source
Data 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
Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach
Wasit 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
Design-Smells-and-Role-Stereotypes/Association-Rule-Mining: First release
, 2021 Investigating the relationship among design smells using association rule ...
Daniel Ogenrwot
core +1 more source
International Journal of Interactive Multimedia and Artificial Intelligence, 2022 Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules.
Zohreh Anari +2 more
doaj +1 more source
Fuzzy Association Rule Mining [PDF]
Journal of Computer Science, 2015 The paper attempts to propose a fuzzy logic association algorithm to predict the risks involved in identifying diseases like breast cancer. Fuzzy logic algorithm is used to find association rules. The results of the study revealed that the prediction is better reliable than conventional methods.
A. Lekha, C. V. Srikrishna, Viji Vinod
openaire +1 more source
Looking at the class associative classification training algorithm [PDF]
, 2007 Associative classification (AC) is a branch in data mining that utilises association rule discovery methods in classification problems. In this paper, we propose a new training method called Looking at the Class (LC), which can be adapted by any rule ...
McCluskey, T.L. +6 more
core +1 more source
NiaAutoARM: Automated Framework for Constructing and Evaluating Association Rule Mining Pipelines
MathematicsNumerical Association Rule Mining (NARM), which simultaneously handles both numerical and categorical attributes, is a powerful approach for uncovering meaningful associations in heterogeneous datasets.
Uroš Mlakar, Iztok Fister, Iztok Fister
doaj +1 more source
Intelligent Rule based Phishing Websites Classification [PDF]
, 2014 Phishing is described as the art of emulating a website of a creditable firm intending to grab user’s private information such as usernames, passwords and social security number.
Mohammad, Rami M. +4 more
core +1 more source