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 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 16 — Peace, Justice and Strong Institutions
SDG 17 — Partnerships for the Goals
Explore
All Session Tracks
Track 01
Advanced Machine Learning Techniques
This track focuses on the latest advancements in machine learning theories, models, and systems. It aims to explore innovative approaches to enhance learning efficiency and effectiveness across various applications.
Track 02
Data Pre-processing and Dimensionality Reduction
This session emphasizes the importance of data pre-processing techniques, including sampling and reduction methods. It will also cover dimensionality reduction strategies that facilitate more efficient data analysis.
Track 03
High Performance Computing for Data Analytics
This track investigates the role of high-performance computing in enhancing data analytics capabilities. Discussions will include architectures and processes that optimize computational resources for large-scale data analysis.
Track 04
Knowledge Discovery and Insight Learning
This session is dedicated to theories and models related to knowledge discovery and latent insight learning. It will explore methodologies that extract valuable information from complex datasets.
Track 05
Big Data Visualization and Modeling
This track addresses the challenges and techniques in visualizing and modeling big data. Participants will discuss innovative visualization methods that aid in understanding and interpreting large datasets.
Track 06
Cloud Computing and Service Data Analysis
This session focuses on the integration of cloud computing technologies in data analysis. It will explore how cloud services can enhance data management and processing capabilities.
Track 07
Mining Multi-source and Mixed-source Information
This track delves into methodologies for mining information from multiple and mixed data sources. It aims to highlight techniques that effectively integrate heterogeneous data for comprehensive analysis.
Track 08
Computational Science in Engineering Applications
This session explores the application of computational science principles in various engineering domains. It will highlight case studies and methodologies that leverage computational techniques for engineering solutions.
Track 09
Web and Social Network Mining
This track focuses on mining techniques applied to web and social network data. Discussions will include methods for extracting insights from social interactions and online behaviors.
Track 10
Personalization Analytics and Learning
This session examines the theories and models behind personalization analytics. It will explore how data-driven approaches can enhance user experiences through tailored recommendations.
Track 11
Graph Mining and Network Analysis
This track investigates the methodologies for relation, coupling, and graph mining. It aims to explore techniques for analyzing network structures and community dynamics within complex datasets.