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 266
- Downloads 0
An Efficient Power Control Technique for High-Frequency Resonant Inverter in Induction Heating System
An efficacious and reliable power control technique has been developed which can be used to regulate the output power of a high-frequency full bridge series resonant inverter (HF-FBSRI) in an induction heating (IH) syste...
Identifying The Effective Factors for Cost Overrun and Time Delay in Water Construction Projects
Water construction projects in Iran frequently face problems which cause cost overrun and time delay, the two most common issues in construction projects in general. The objective of this survey is to identify and quanti...
An Operative X-band Mini-radar Network to Monitor Rainfall Events with High Time and Space Resolution
The increasing frequency of extreme and very localized precipitation events have been causing landslides, floods and casualties, especially in Sicily, due to its complex orography, and to the presence of densely inhabite...
Aging Time Effects on the Mechanical Properties of Al 6061-T6 Alloy
This work investigates the influence of artificial aging and solution heat treatment on the hardness and tensile strength (mechanical properties) of Al 6061-T6 alloy. For this investigation, several aluminum 6061-T6 allo...
On-line Handwriting Signature Verification Based on Using Extreme Points Extraction
This paper presents a method for on-line Handwriting Signature Verification (HSV) using Extreme Points Matching (EPM). EPM does not use direct computation of curve’s curvature thus it does not expect smoothness in the an...