161 citations
- Institute of PhysicsPL4 papers
- Chinese Academy of SciencesCN2 papers
- Monash UniversityAU2 papers
- University of CincinnatiUS2 papers
- University of Hong KongHK2 papers
- Zhejiang UniversityCN2 papers
- Cochin University of Science and TechnologyIN1 paper
- Istituto Nazionale di Fisica Nucleare, Sezione di PaviaIT1 paper
- Istituto Nazionale per la Fisica della MateriaIT1 paper
- Max Planck Institute for the Physics of Complex SystemsDE1 paper
- Nanjing Normal UniversityCN1 paper
- Nanjing UniversityCN1 paper
8 papers · 1 filter
Export Behaviour Modeling Using EvoNF Approach
Ron Edwards, Ajith Abraham, Sonja Petrovic-Lazarevic
The academic literature suggests that the extent of exporting by multinational corporation subsidiaries (MCS) depends on their product manufactured, resources, tax protection, cust…
Business Intelligence from Web Usage Mining
Ajith Abraham
The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on one hand and the customer's option to choose from sev…
Meta-Learning Evolutionary Artificial Neural Networks
Ajith Abraham
In this paper, we present MLEANN (Meta-Learning Evolutionary Artificial Neural Network), an automatic computational framework for the adaptive optimization of artificial neural net…
Hybrid Fuzzy-Linear Programming Approach for Multi Criteria Decision Making Problems
Sonja Petrovic-Lazarevic, Ajith Abraham
The purpose of this paper is to point to the usefulness of applying a linear mathematical formulation of fuzzy multiple criteria objective decision methods in organising business a…
Modeling Chaotic Behavior of Stock Indices Using Intelligent Paradigms
Ajith Abraham, Ninan Sajith Philip, P. Saratchandran
The use of intelligent systems for stock market predictions has been widely established. In this paper, we investigate how the seemingly chaotic behavior of stock markets could be…
Data Mining Approach for Analyzing Call Center Performance
Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo
The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classification and…