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 FathiEven 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 ZhangThis 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 DerendyaevThe 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 SarkarService 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…
A method to assist in the proper management of rule bases in Web information systems
Abir Boujelben, Ikram AmousOne 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 FaicalThis 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…
ISSN:
1744-0084e-ISSN:
1744-0092ISSN-L:
1744-0084Online date, start – end:
2005Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditors:
- Prof. Honghao Gao
- Prof. Li Kuang