Call for papers
As the Web has become a major source of information, techniques and methodologies to extract quality information is of paramount importance for many Web applications and users. Big Data mining and data science play key roles in many Web applications, such as e-commerce, business intelligence and computer security.
Following the success of previous MAWs, this edition aims to bring together scientists, engineers, and practitioners to discuss, exchange ideas, and present their research on mining the Web. Topics of interest that MAW covers include general mining techniques and methodologies, as well as their application to the Web (but are not limited to):
- Text, Data, and Media Mining
- Natural Language Processing
- Information Retrieval and Knowledge Discovery
- Social Networks and On-Line Communities
- Information Categorisation, Clustering, and Fusion
- Web Search, Ranking and Optimisation
- Collaborative Filtering, Personalisation and Recommender
- Semantic Web and Ontology
- Cyber Security, Privacy, and Trust
- e-Technology, e-Government, and e-Learning
- Wikis and Blogs Mining
- Web and Business Intelligence
- Web Evolution and Analytics
- Big Data Mining and Management
- Data Analytics
Submission Deadline: January 10, 2024
Author Notification: January 20, 2024
Final Manuscript Due: February 5, 2024
Author Registration: February 5, 2024
Original full paper of at most 6 (six) pages including figures and references in PDF using the Conference Publishing Services (CPS) Proceedings Manuscripts style: two columns, single-spaced, including figures and references, using 10 fonts, and number each page: http://voyager.ce.fit.ac.jp/conf/aina/2024/guidelines.php.
Please contact the Workshop Co-Chairs for any question:
Kin Fun Li, University of Victoria, email:kinli@uvic.ca
Kosuke Takano, Kanagawa Institute of Technology, email: takano@ic.kanagawa-it.ac.jp
Shengrui Wang, Université de Sherbrooke, Canada, email: Shengrui.Wang@usherbrooke.ca