Frequent itemset mining: A 25 years review
Frequent itemset mining (FIM) is an essential task within data analysis since it is responsible
for extracting frequently occurring events, patterns, or items in data. Insights from such …
for extracting frequently occurring events, patterns, or items in data. Insights from such …
A survey on association rules mining using heuristics
Association rule mining (ARM) is a commonly encountred data mining method. There are
many approaches to mining frequent rules and patterns from a database and one among …
many approaches to mining frequent rules and patterns from a database and one among …
A survey of evolutionary computation for association rule mining
Abstract Association 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 …
in data mining. It has achieved great success in a plethora of applications such as market …
[LIVRE][B] Pattern mining with evolutionary algorithms
This book is intended to provide a general and comprehensible overview of the field of
pattern mining with evolutionary algorithms. To do so, the book provides formal definitions …
pattern mining with evolutionary algorithms. To do so, the book provides formal definitions …
An efficient approach for mining association rules from high utility itemsets
Traditional association rule mining based on the support–confidence framework provides
the objective measure of the rules that are of interest to users. However, it does not reflect …
the objective measure of the rules that are of interest to users. However, it does not reflect …
Global path planning of wheeled robots using multi-objective memetic algorithms
Z Zhu, J **ao, JQ Li, F Wang… - Integrated computer …, 2015 - content.iospress.com
Global path planning is a fundamental problem of mobile robotics. The majority of global
path planning methods are designed to find a collision-free path from a start location to a …
path planning methods are designed to find a collision-free path from a start location to a …
Harmony search algorithm and its variants
In the past three decades nature-inspired and meta-heuristic algorithms have dominated the
literature in the broad areas of search and optimization. Harmony search algorithm (HSA) is …
literature in the broad areas of search and optimization. Harmony search algorithm (HSA) is …
Neural Network, Machine Learning, and Evolutionary Approaches for Concrete Material Characterization.
Costly and time-consuming destructive methods of sampling, curing, and testing under
hydraulic jacks are often used to determine concrete properties. Computational intelligence …
hydraulic jacks are often used to determine concrete properties. Computational intelligence …
Feature extraction and classi cation techniques for health monitoring of structures
Damage identi cation in Structural Health Monitoring (SHM) involves three main steps:
signal acquisition, signal processing, and feature extraction and interpretation. Recently, the …
signal acquisition, signal processing, and feature extraction and interpretation. Recently, the …
Numerical association rule mining: a systematic literature review
Numerical association rule mining is a widely used variant of the association rule mining
technique, and it has been extensively used in discovering patterns and relationships in …
technique, and it has been extensively used in discovering patterns and relationships in …