IEEE

Learning-Driven Algorithm With Dual Evolution Patterns for Solving Large-Scale Multiobjective Optimization Problems

Abstract: Recently, a series of evolutionary algorithms have been proposed to enhance the search efficiency when handling large-scale multiobjective optimization problems (LSMOPs). Among them, ...
Scientific Research Publishing

Laur, P., Nock, R., Symphor, J. and Poncelet, P. (2007) Mining Evolving Data Streams for Frequent Patterns. Pattern Recognition, 40, 492-503.

ABSTRACT: Biodiversity in forest ecosystems is crucial for regulating ecological processes and delivering essential ecosystem services. In this study, we investigate how specific plant species ...
Scientific Research Publishing

Han, J., Pei, J. and Yin, Y. (2000) Mining Frequent Patterns without Candidate Generation. Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data ...

ABSTRACT: Biodiversity in forest ecosystems is crucial for regulating ecological processes and delivering essential ecosystem services. In this study, we investigate how specific plant species ...
IEEE

Mining Consumer Behavior Patterns in E-Commerce Using Apriori Algorithm and Sequential Pattern Analysis

Abstract: The consumer behaviour in e-commerce is the main focus of this research and data has been collected using Apriori Algorithm association rule mining method followed by the use of sequence ...