Grouping users' communities in an interactive Web-based learning system: a data mining approach

2005 ◽  
Author(s):  
C.G. Minetou ◽  
S.Y. Chen ◽  
Xiaohui Liu
Keyword(s):  
Data Mining ◽  
Learning System ◽  
Web Based ◽  
System A ◽  
Data Mining Approach ◽  
Web Based Learning

Attitudes to the application of a Web-based learning system in a microbiology course

2005 ◽  
Vol 45 (2) ◽  
pp. 171-185 ◽  
Author(s):  
Italo Masiello ◽  
Robert Ramberg ◽  
Kirsti Lonka
Keyword(s):  
Learning System ◽  
Web Based ◽  
Web Based Learning

scholarly journals Implementasi Kursus Calon Pengantin Berbasis Web Dalam Mengurangi Tingkat Penceraian

2020 ◽  
Vol 4 (3) ◽  
pp. 676
Author(s):  
Slamet Widodo ◽  
Herlambang Brawijaya ◽  
Samudi Samudi
Keyword(s):  
Learning System ◽  
Web Based ◽  
Web Based Learning ◽  
The Family ◽  
The Government ◽  
Family Based

Marriage is a spiritual bond between a man and a woman to form a happy and eternal home or family based on the Godhead. Nevertheless, many divorces still occur in the community today. Suscatin is a solution provided by the Government to overcome divorce which is getting higher every year. But there are still obstacles in the organization of Suscatin. The Suscatin implementation is still done manually, where to conduct the exam the bride and groom write on a piece of paper. In addition, the implementation was carried out on the effective day, so the bride and groom could not attend. For this reason, this research was conducted to design a web-based learning system that can facilitate the Office of Religious Affairs and prospective brides. So that the material about marriage can be studied without any obstacles both in terms of time and place of implementation. It is expected to be able to anticipate disputes and divorce as well as violence in the family in order to create a sakinah, mawaddah, and rahmah family

scholarly journals Data Mining as Support to Knowledge Management in Marketing

2015 ◽  
Vol 6 (2) ◽  
pp. 18-30 ◽  
Author(s):  
Marijana Zekić-Sušac ◽  
Adela Has
Keyword(s):  
Data Mining ◽  
Neural Networks ◽  
Knowledge Management ◽  
Association Rules ◽  
Marketing Strategies ◽  
Web Based ◽  
Data Mining Techniques ◽  
Data Mining Approach ◽  
Model Generalization ◽  
Retail Managers

Abstract Background: Previous research has shown success of data mining methods in marketing. However, their integration in a knowledge management system is still not investigated enough. Objectives: The purpose of this paper is to suggest an integration of two data mining techniques: neural networks and association rules in marketing modeling that could serve as an input to knowledge management and produce better marketing decisions. Methods/Approach: Association rules and artificial neural networks are combined in a data mining component to discover patterns and customers’ profiles in frequent item purchases. The results of data mining are used in a web-based knowledge management component to trigger ideas for new marketing strategies. The model is tested by an experimental research. Results: The results show that the suggested model could be efficiently used to recognize patterns in shopping behaviour and generate new marketing strategies. Conclusions: The scientific contribution lies in proposing an integrative data mining approach that could present support to knowledge management. The research could be useful to marketing and retail managers in improving the process of their decision making, as well as to researchers in the area of marketing modelling. Future studies should include more samples and other data mining techniques in order to test the model generalization ability.

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