Monte Carlo Simulation for Data Mining of Transaction Records: Prospects for Developing Countries
Kenji Adebayo
Corresponding
Anna University
Hassan Al-Rashid
Tsinghua University
Jun Oliveira
Ahsanullah University of Science and Technology
Abstract
Rapid industrial growth in South Asia has intensified problems associated with data mining of transaction records in arsenic-affected aquifers. The analysis is carried out using scanning electron microscopy implemented in a standard computing environment. Overall performance improves by 32% when the proposed scheme is adopted. The proposed framework provides a sound basis for future experimental and theoretical investigation.
Keywords:
data mining of transaction recordsscanning electron microscopyparticle swarm optimisationharmonic analysisthin-film solar cell
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