International Journal of Web Information Systems: Volume 15 Issue 5

Subjects:

Table of contents

A machine learning-based methodology to predict learners’ dropout, success or failure in MOOCs

Youssef Mourdi, Mohamed Sadgal, Hamada El Kabtane, Wafaa Berrada Fathi

Even if MOOCs (massive open online courses) are becoming a trend in distance learning, they suffer from a very high rate of learners’ dropout, and as a result, on average, only 10…

The impact of headline features on the attraction of online financial articles

Jie She, Tao Zhang

This study aims to investigate whether and to what extent the characteristics of headlines impact the attraction of online financial articles by using data collected from WeChat…

From monitoring of seismic fields to the automatic forecasting of earthquakes

Valery Gitis, Alexander Derendyaev

The purpose of this paper is to offer two Web-based platforms for systematic analysis of seismic processes. Both platforms are designed to analyze and forecast the state of the…

Dynamic service composition in enterprise cloud bus architecture

Gitosree Khan, Sabnam Sengupta, Anirban Sarkar

Service composition phenomenon based on non-scenario aspects are become the latest issues in enterprise software applications of the multi-cloud environment due to the phenomenal…

136

A method to assist in the proper management of rule bases in Web information systems

Abir Boujelben, Ikram Amous

One key issue of maintaining Web information systems is to guarantee the consistency of their knowledge base, in particular, the rules governing them. There are currently few…

A set of parameters for automatically annotating a Sentiment Arabic Corpus

Guellil Imane, Darwish Kareem, Azouaou Faical

This paper aims to propose an approach to automatically annotate a large corpus in Arabic dialect. This corpus is used in order to analyse sentiments of Arabic users on social…

Cover of International Journal of Web Information Systems

ISSN:

1744-0084

Online date, start – end:

2005

Copyright Holder:

Emerald Publishing Limited

Open Access:

hybrid

Editors:

  • Prof. Honghao Gao
  • Prof. Li Kuang