Results 11 to 20 of about 11,335,082 (272)
The rule extraction of numerical association rule mining using hybrid evolutionary algorithm [PDF]
Proceeding of the Electrical Engineering Computer Science and Informatics, 2017 The topic of Particle Swarm Optimization (PSO) has recently gained popularity. Researchers has used it to solve difficulties related to job scheduling, evaluation of stock markets and association rule mining optimization.
Imam Tahyudin, Hidetaka Nambo
exaly +6 more sources
NiaARM: A minimalistic framework for Numerical Association Rule Mining
Journal of Open Source Software, 2022 Association Rule Mining (ARM) is a data mining method intended for discovering relations between attributes in transaction databases in the form of implications (Agrawal & Srikant, 1994; Fister Jr. & Fister, 2020).
Žiga Stupan, I. Fister
semanticscholar +2 more sources
Skyline-Enhanced Association Rule Mining for Numeric Datasets
SN Computer ScienceFor Association Rule Mining (ARM) analysis, numeric datasets undergo a data discretization stage that inhibits interdependence relating information on the numeric variables involved.
Konstantinos Kelesidis +3 more
semanticscholar +2 more sources
MapReduce network enabled algorithms for classification based on association rules [PDF]
, 2011 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.There is growing evidence that integrating classification and association rule mining can produce more efficient and accurate classifiers than traditional ...
Hammoud, Suhel
core +7 more sources
Mining optimized association rules for numeric attributes [PDF]
Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Takeshi Fukuda +3 more
openaire +3 more sources
Weighted Association Rule Mining using Weighted Support and Significance Framework [PDF]
, 2003 We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to handle weighted association rule mining problems where each item is allowed to
Feng Tao +5 more
core +2 more sources
Parallel Independent Probability Fully Weighted Association Rule Mining Algorithm
Journal of Harbin University of Science and Technology, 2023 Association rule mining is mainly used to discover knowledge hidden in the data. Weighted association rule mining can mine rules with different importance of the project more effectively.
LI Cheng yan +3 more
doaj +1 more source
Mining Temporal Association Rules with Temporal Soft Sets
Journal of Mathematics, 2021 Traditional association rule extraction may run into some difficulties due to ignoring the temporal aspect of the collected data. Particularly, it happens in many cases that some item sets are frequent during specific time periods, although they are not ...
Xiaoyan Liu +5 more
doaj +1 more source
Applied Sciences, 2022 The spatial distribution of elements can be regarded as a numerical field of concentration values with a continuous spatial coverage. An active area of research is to discover geologically meaningful relationships among elements from their spatial ...
Baoyi Zhang +5 more
doaj +1 more source
Neural Computing and Applications, 2022 Association rule mining (ARM) is defined by its crucial role in finding common pattern in data mining. It has different types such as fuzzy, binary, numerical. In this paper, we introduce a multi-objective orthogonal mould algorithm (MOOSMA) with numerical association rule mining (NARM) which is a different type of ARM.
Salma Yacoubi +4 more
semanticscholar +4 more sources