ANALYSIS AND EVALUATION ON ONLINE SHOPS CUSTOMERS THROUGH DATA MINING METHODS
Journal Title: International Journal of Computer Networking, Wireless and Mobile Communications (IJCNWMC) - Year 2018, Vol 8, Issue 3
Abstract
Customer data analyzers of online stores are important for improving customer service and provide opportunities for greater personalization. In this paper, an approach is proposed for analyzing customer data based on data mining methods. Natural computer language processing technologies are also used to identify customers who are satisfied with the e-shop's service and those who are not. A decision tree is also built that allows for the choice of rational management decisions.
Authors and Affiliations
Keywords
Related Articles
- EP ID EP376938
- DOI -
- Views 129
- Downloads 0
Mitigating Interference Linked to Material Composition for Wireless Sensor Network Deployment in Real Three-Dimensional Indoor Spaces
In the Industry 4.0 era, traditional manufacturing and other industries must urgently upgrade their production techniques to attain small lot and variable production. How to connect production machines and tools through...
STUDY OF THE OCDMA TRANSMISSION CHARACTERISTICS USING BIDIRECTIONAL OPTICAL FIBER LINK, BASED ON EDW CODE
Discussion on free space optics as a link was done by numerous studies by using EDW code. In this paper, we discuss the bidirectional fiber as a connecting media channels. This unit was tested by using the Enhanced Doubl...
Enhanced Identity-Based Signcryption System
A combination of encryption and signature is a cryptosystem called traditional signcryption, wherein sender authentication is considered a key task to be verified by third party or judge. Without the knowledge of the sen...
IMPROVED REPOSITION CLUSTER HEAD IN LEACH PROTOCOL FOR HETEROGENEOUS WIRELESS NETWORK
With the fast improvement in wireless technologies, amenities and devices, used in a distinct radio system, in which second generation (2G) and third-generation (3G) wireless scheme may be not effective to transmit data...
E - Learning and Computer-Based Multimedia Intervention and its Education Effect on The Relationship between Knowledge, Attitude and Practices of Rural Women
The study aims to evaluate the relationship among Knowledge, Attitude and Practice scores pre and post intervention. In this E- learning educational intervention study, 130 rural women aged (15-49 years) were randomly se...