Consistent Academic Support
Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.
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Conference Program
Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
Why it matters
SDG 4 — Quality Education
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 16 — Peace, Justice and Strong Institutions
Explore
All Session Tracks
Track 01
Advancements in Web Data Mining Techniques
This track focuses on the latest methodologies and algorithms in web data mining. Researchers are invited to present innovative approaches that enhance the extraction of meaningful patterns from vast online datasets.
Track 02
Real-Time Analytics for Internet Applications
This session explores the challenges and solutions associated with real-time data processing in internet applications. Contributions should address techniques for immediate data analysis and decision-making in dynamic online environments.
Track 03
Knowledge Discovery from Online Data Streams
This track emphasizes the extraction of knowledge from continuous data streams generated by web interactions. Papers should discuss novel methods for handling, analyzing, and interpreting streaming data in real-time.
Track 04
Pattern Recognition in Web Usage Mining
This session aims to delve into the techniques of pattern recognition specifically applied to web usage mining. Submissions should highlight advancements in identifying user behavior patterns and trends from web logs.
Track 05
Semantic Data Mining for Enhanced Web Insights
This track investigates the application of semantic technologies in data mining processes. Researchers are encouraged to present studies that leverage semantics to improve the understanding of web data.
Track 06
Clickstream Analysis and User Behavior Modeling
This session focuses on the analysis of clickstream data to model user behavior on the web. Contributions should explore innovative techniques for understanding user navigation patterns and their implications for web design.
Track 07
Text Mining for Internet-Based Applications
This track invites papers that explore text mining techniques applied to internet data sources. Topics may include sentiment analysis, topic modeling, and information retrieval from online textual content.
Track 08
Big Data Processing in Web Analytics
This session addresses the challenges of processing large-scale data generated by web analytics. Researchers are encouraged to share solutions that optimize data handling and analysis in big data environments.
Track 09
Internet-Based Prediction Models
This track focuses on the development and evaluation of predictive models utilizing internet data. Submissions should demonstrate how these models can enhance decision-making processes in various online contexts.
Track 10
Data Visualization Techniques for Web Analytics
This session explores innovative data visualization methods tailored for web analytics. Papers should discuss how effective visualization can aid in the interpretation and communication of complex web data.
Track 11
Social Web Analytics: Trends and Challenges
This track examines the analytics of social web data, focusing on trends, methodologies, and emerging challenges. Researchers are invited to discuss the implications of social media data on user engagement and behavior analysis.