Clustering of Customers Based on Shopping Behavior and Employing Genetic Algorithms
Journal Title: Engineering, Technology & Applied Science Research - Year 2017, Vol 7, Issue 1
Abstract
Clustering of customers is a vital case in marketing and customer relationship management. In traditional marketing, a market seller is categorized based on general characteristics like clients’ statistical information and their lifestyle features. However, this method seems unable to cope with today’s challenges. In this paper, we present a method for the classification of customers based on variables such as shopping cases and financial information related to the customers’ interactions. One measure of similarity was defined as clustering and clustering quality function was further defined. Genetic algorithms been used to ensure the accuracy of clustering.
Authors and Affiliations
E. P. Bafghi
Keywords
Related Articles
- EP ID EP146062
- DOI -
- Views 260
- Downloads 0
Web Information System for the Governance of University Research
Technology development has proved crucial in analyzing and processing the volume of scientific information that is generated today. Governments are developing scientific and technical information systems that, beyond a d...
Dynamic Matrix Control and Tuning Parameters Analysis for a DC Motor System Control
Model predictive control (MPC) in system control industry overrides the challenges of conventional controllers in controlling complex systems. However, for efficient control, it is essential to find the best combination...
Estimation of Length and Order of Polynomial-based Filter Implemented in the Form of Farrow Structure
Digital polynomial-based interpolation filters implemented using the Farrow structure are used in Digital Signal Processing (DSP) to calculate the signal between its discrete samples. The two basic design parameters for...
Automating the Classification of Field Leakage Current Waveforms
Leakage current monitoring is widely employed to investigate the performance of high voltage insulators and the development of surface activity. Field measurements offer an exact view of experienced activity and insulato...
A Genetic-Firefly Hybrid Algorithm to Find the Best Data Location in a Data Cube
Decision-based programs include large-scale complex database queries. If the response time is short, query optimization is critical. Users usually observe data as a multi-dimensional data cube. Each data cube cell displa...