Big Data Technologies
Explore technologies and techniques for handling and analyzing large datasets.
The 2025 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS) is a premier event dedicated to advancing the fields of data science and information systems. Scheduled to take place from 3 – 4 February 2025, in Bandung, Indonesia, with a hybrid platform allowing for both in-person and virtual participation, ICADEIS 2025 aims to bring together leading educators, researchers, policymakers, and industry practitioners from around the world.
ICADEIS was first established in 2019, driven by the need to explore and address the evolving challenges at the intersection of data science and information systems. Over the past decade, the conference has grown significantly in scope and impact, becoming a key platform for sharing innovative research and fostering collaboration among global experts.
In its early years, ICADEIS focused on foundational topics in data science and information systems. As the fields have advanced, the conference has expanded to cover emerging trends and technologies, reflecting the rapid evolution of the industry. Notable past editions have featured groundbreaking research, influential keynote speakers, and numerous networking opportunities, contributing to significant advancements in the field.
Each year, ICADEIS attracts a diverse audience of researchers, practitioners, and policymakers, all committed to exploring the latest developments and applications in data science and information systems. The conference continues to build on its legacy of excellence, providing a vital forum for discussion, innovation, and collaboration.
Join us at ICADEIS 2025 to explore the latest advancements, network with peers, and contribute to the future of data science and information systems. Together, we can drive innovation and sustainability through interdisciplinary collaboration.
Data Science encompasses a wide range of topics and technologies. Here are some key areas under this scope:
Explore technologies and techniques for handling and analyzing large datasets.
Understand algorithms and models that enable computers to learn from and make predictions based on data.
Learn methods for extracting meaningful patterns from data and visualizing them effectively.
Study algorithms designed to find the best solution from a set of possible choices.
Explore techniques for statistical modeling and inference in data science.
Examine principles of granular computing and fuzzy logic for data analysis and decision-making.
Understand how business intelligence integrates with information systems to support strategic decisions.
Explore the role of electronic business in data management and analysis.
Learn techniques for analyzing and deriving insights from large data sets.
Discover methods for analyzing graph structures and relationships in data.
Explore strategies for analyzing big data in real-time for timely insights.
Understand different data models designed for big and smart data applications.
Investigate how business models are adapted for big data and smart data environments.
Learn about the application of semantic web technologies in data science.
Explore methods for ensuring the quality of data and information in various applications.
Understand techniques for extracting valuable information from large datasets.
Examine approaches to integrating data using conceptual frameworks, notations, and ontologies.
Learn about data management practices that support effective analytics.
Discover techniques for analyzing web data to improve user experiences and performance.
Explore statistical methods and exploratory data analysis for uncovering data patterns.
Understand the importance of data modeling and visualization in interpreting data insights.
Learn about various data structures and management practices essential for efficient data handling.
Investigate methods for managing data in urban environments.
Explore the intersection of deep learning and big data for advanced analytics.
Understand methods for searching and mining social web data.
Examine the concept of big data as a service and its implications for businesses.
Information Systems cover various aspects of technology and its role in organizational processes. Key topics include:
Explore frameworks and techniques for modeling enterprise data and information systems.
Understand the integration of core business processes through enterprise systems.
Examine the model that explains how users come to accept and use technology.
Learn about managing and improving business processes to enhance organizational efficiency.
Explore principles and practices for governing IT resources and aligning them with business goals.
Understand the impact of electronic business and commerce on organizations and markets.
Learn about the application of information technology in government processes and services.
Examine practices for managing and ensuring the quality of data within organizations.
Understand techniques and strategies for managing IT projects effectively.
Explore strategies for leveraging digital technologies to transform business operations and models.
Learn about the design, implementation, and management of IT networks within organizations.
E-Learning cover a wide range of strategies and technologies aimed at enhancing the educational experience. Key topics include:
Enhance student engagement through game design elements and interactive techniques in education.
Utilize digital tools and resources to improve and personalize the learning process.
Evaluate student performance and learning outcomes using digital assessments and data-driven insights.
Ensure online education meets quality benchmarks through rigorous standards and practices.
Provide hands-on, computer-based environments for safe and controlled experimentation and learning.
Deliver and support educational content through digital technologies for flexible and scalable learning.
This section showcases the topics of past conferences and includes photo documentation from those events. Explore the significant themes and memorable moments from previous editions of our conference.