International Conference on Compute and Data Analysis (ICCDA-27)

Conference 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.

SDG 4 Quality Education

SDG 9 Industry, Innovation and Infrastructure

SDG 11 Sustainable Cities and Communities

TRACK 01

Advanced Machine Learning Techniques

This track focuses on the latest advancements in machine learning theories, models, and systems. It aims to explore inno...

TRACK 02

Data Pre-processing and Dimensionality Reduction

This session emphasizes the importance of data pre-processing techniques, including sampling and reduction methods. It w...

TRACK 03

High Performance Computing for Data Analytics

This track investigates the role of high-performance computing in enhancing data analytics capabilities. Discussions wil...

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 exp...

TRACK 05

Big Data Visualization and Modeling

This track addresses the challenges and techniques in visualizing and modeling big data. Participants will discuss innov...

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 serv...

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 t...

TRACK 08

Computational Science in Engineering Applications

This session explores the application of computational science principles in various engineering domains. It will highli...

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 ext...

TRACK 10

Personalization Analytics and Learning

This session examines the theories and models behind personalization analytics. It will explore how data-driven approach...

TRACK 11

Graph Mining and Network Analysis

This track investigates the methodologies for relation, coupling, and graph mining. It aims to explore techniques for an...

Hybrid Event