A comprehensive E-commerce customer behavior analysis using convolutional methods

2021 ◽  
Vol 96 ◽  
pp. 107541
Author(s):  
Preeti Nagrath ◽  
Tu N. Nguyen ◽  
Shivani Aggarwal ◽  
D Jude Hemanth
Keyword(s):  
Behavior Analysis ◽  
Customer Behavior

Telecom Customer Behavior Analysis Using Naïve Bayes Classifier

2021 ◽  
Author(s):  
Md. Golam Rabiul Alam ◽  
Sajjad Hussain ◽  
Md. Mofaqkhayrul Islam Mim ◽  
Md Tarikul Islam
Keyword(s):  
Behavior Analysis ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Customer Behavior ◽  
Naive Bayes Classifier ◽  
Bayes Classifier ◽  
Naïve Bayes Classifier

Customer Behavior Analysis and Classification Based on Process Mining

2021 ◽  
Author(s):  
Meijun Liu ◽  
Licheng Zhao ◽  
Fengmei Sun ◽  
Weizheng Zhao ◽  
Yi Zuo ◽  
...  
Keyword(s):  
Behavior Analysis ◽  
Process Mining ◽  
Customer Behavior

scholarly journals 2H2-6　Eye-Tracking-Based Framework for Customer Behavior Analysis in a Restaurant

2016 ◽  
Vol 52 (Supplement) ◽  
pp. S456-S457
Author(s):  
Hirotaka AOKI ◽  
Satoshi SUZUKI
Keyword(s):  
Eye Tracking ◽  
Behavior Analysis ◽  
Customer Behavior

Analyzing Customer Behavior Using Online Analytical Mining (OLAM)

2015 ◽  
pp. 894-910 ◽  
Author(s):  
Thanachart Ritbumroong
Keyword(s):  
Data Mining ◽  
Behavior Analysis ◽  
Customer Behavior ◽  
Future Research ◽  
Technical Performance ◽  
Data Mining Algorithms ◽  
Integration Data ◽  
Mining Algorithms ◽  
Provided Examples

Online Analytical Mining (OLAM) is an architecture integrating data mining into OLAP. With this integration, data mining algorithms can be performed with OLAP abilities. OLAM enables users to choose a particular portion of data and analyze them with data mining models. Previous studies have provided examples of OLAM applications with the motivation to improve technical performance. This chapter reviews the capabilities of OLAM and discusses the well-known concept encompassing the analysis of customer behavior. The underlying motivation of this chapter is to present the opportunities for the development of OLAM to support the customer behavior analysis. Three main directions of the advancement in OLAM are proposed for future research.

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