The First "International Conference on Data, Computation and
Communication" is an event focused on the fields of data, computation
and communication.
(ICDCC-2024) 29 Nov 2024 & 30 Nov 2024
Scope of the Conference
Data science is an interdisciplinary field focused on extracting
knowledge from typically large data sets and applying the knowledge
and insights from that data to solve problems in a wide range of
application domains. The conference focuses on following research area
related to data science, machine learning and their application in
computational physics, computational chemistry, computational biology
and computational linguistics, computing paradigms like Cloud
computing.
The integration of computational science and data science offers
immense potential for advancing our understanding of chemical systems,
accelerating drug discovery, optimizing materials design, and
contributing to a wide range of scientific and industrial
applications. The synergy between computational science and data
science has the potential to revolutionize the way we understand and
manipulate scientific systems.
Conference topics
Computational Science
Computational Linguistics & NLP
NLP and Data Science
Text Mining
Text Classification
Language Modeling
Computational Linguistics and Communication
Automated Translation
Speech Processing
Discourse Analysis
Conversational AI
Text+Image Integration
Computational Biology
Genetic epidemiology and statistical genetics
Computational and statistical meta genomics
Machine learning in Functional genomics
Data analysis in Cancer genomics and evolution
Computational Physics
Material informatics
Quantum information
Fluid dynamics
Satellite data processing
Atmospheric physics
Computational Chemistry
Quantum and Molecular Dynamics Simulations
Material Science
Cheminformatics
Chemical Reaction Pathways
High-Throughput Screening
Data Science
Pattern Recognition
Computer Vision
Speech, Image, Video and Signal Processing
Big data
Data visualization
Artificial intelligence
Data mining
Health data science
Optimization techniques
Large-scale optimization
Business intelligence and strategy
Machine learning
Natural language processing
Predictive modeling
Databases and Warehousing
Biologically Inspired and Evolutionary Algorithms
Bio-Engineering and Bio-Informatics, Geo-Informatics