Results 251 to 260 of about 11,335,082 (272)
Some of the next articles are maybe not open access.
Cybersecurity and Cyberforensics Conference, 2021
Clustering based association rule mining algorithms usually deal with data sets by clustering numerical transactions into boolean ones then using the boolean method. However, the numerical data will often change slightly, which may be caused by errors in
Jin-Xian Wu +3 more
semanticscholar +1 more source
Clustering based association rule mining algorithms usually deal with data sets by clustering numerical transactions into boolean ones then using the boolean method. However, the numerical data will often change slightly, which may be caused by errors in
Jin-Xian Wu +3 more
semanticscholar +1 more source
Sensitivity Analysis of MODENAR Method for Mining of Numeric Association Rules
2019 1st International Informatics and Software Engineering Conference (UBMYK), 2019There are many association rules mining studies that focus on datasets consisting of only discrete or binary valued attributes. However, the data in many real-world applications are generally composed of quantitative or numeric values and classical association rule mining methods do not automatically work without preprocessing that disrupt the real ...
Elif Varol Altay, Bilal Alatas
openaire +1 more source
Distributed Fuzzy Clustering Based Association Rule Mining: Design, Deployment and Implementation
ACM Cloud and Autonomic Computing Conference, 2021With the explosive growth of transactional big data in various scenarios such as manufacturing chain and supply chain etc., fuzzy association rule mining (FARM) algorithms as a practical method in data analysis and decision making are confronted with ...
Jin-Xian Wu +4 more
semanticscholar +1 more source
Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values
2020Since its introduction in the 1990s, association rule mining(ARM) has been proven as one of the essential concepts in data mining; both in practice as well as in research. Discretization is the only means to deal with numeric target column in today’s association rule mining tools.
Sijo Arakkal Peious +4 more
openaire +2 more sources
MODENAR: Multi-objective differential evolution algorithm for mining numeric association rules
Applied Soft Computing, 2008In this paper, a Pareto-based multi-objective differential evolution (DE) algorithm is proposed as a search strategy for mining accurate and comprehensible numeric association rules (ARs) which are optimal in the wider sense that no other rules are superior to them when all objectives are simultaneously considered.
Bilal Alatas, Erhan Akin, Ali Karci
openaire +2 more sources
Analyzing patterns of numerously occurring heart diseases using association rule mining
2017 Twelfth International Conference on Digital Information Management (ICDIM), 2017The use of technology and science in Healthcare has made services available to all the people along with ensuring the best care for the people. Data Mining provides us such useful techniques, which can help the medical practitioners to effectively analyze and discover large amount of data in a more efficient and convenient way as now electronic ...
K. M. Mehedi Hasan Sonet +4 more
openaire +1 more source
A survey of evolutionary computation for association rule mining
Information Sciences, 2020Association Rule Mining (ARM) is a significant task for discovering frequent patterns in data mining. It has achieved great success in a plethora of applications such as market basket, computer networks, recommendation systems, and healthcare.
A. Telikani +2 more
semanticscholar +1 more source
Multi-objective PSO algorithm for mining numerical association rules without a priori discretization
Expert Systems with Applications, 2014In the domain of association rules mining (ARM) discovering the rules for numerical attributes is still a challenging issue. Most of the popular approaches for numerical ARM require a priori data discretization to handle the numerical attributes. Moreover, in the process of discovering relations among data, often more than one objective (quality ...
Vahid Beiranvand +2 more
openaire +1 more source
Applied Energy, 2019
Energy wastes in heating, ventilation and air conditioning (HVAC) systems of buildings are very common due to lots of operational problems. It is in great need to develop data mining-based methods to discover these operational problems from the ...
Chao-Bo Zhang +4 more
semanticscholar +1 more source
Energy wastes in heating, ventilation and air conditioning (HVAC) systems of buildings are very common due to lots of operational problems. It is in great need to develop data mining-based methods to discover these operational problems from the ...
Chao-Bo Zhang +4 more
semanticscholar +1 more source
Education and Information Technologies : Official Journal of the IFIP technical committee on Education, 2023
Manevpreet Kaur +2 more
semanticscholar +1 more source
Manevpreet Kaur +2 more
semanticscholar +1 more source