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 …

Many algorithms have been proposed to find high utility itemsets (sets of items that yield a
high profit) in customer transactions. Though, it is useful to analyze customer behavior, it …

High utility itemset mining is a well-studied data mining task for analyzing customer
transactions. The goal is to find all high utility itemsets, that is items purchased together that …

Telecommunication networks play a major role in today's society as they support the
transmission of information between businesses, governments, and individuals. Hence …

Complex real-world problems can be solved by heuristic optimization efficiently. Improved
hybrid optimization method using pattern search (PS) algorithm and genetic algorithm (GA) …

The network data algorithm on account of association can effectively describe the
development process of historical data and predict the development trend of data. Draw …

The genetic algorithm (GA) and its variants have been used in a wide variety of fields by the
scientists efficiently for solving problems. From the pool of evolutionary algorithms, the GA is …

Genetic Algorithms have parameters such as crossover probabilities and mutation
probabilities used based on entering population numbers and number of generations. Of the …

This paper presents an efficient data mining strategy to reveal the operational problems of
ground source heat pump (GSHP) systems. Symbolic Aggregate appro**mation was …

Traditional structural optimization is mainly based on the assumption that the materials are
elastic, which cannot represent real stress fields in structures. In this study, the genetic …