4th International Conference on Data Science and Cloud Computing (DSCC 2023)
Data mining foundations, Data mining Applications, Knowledge Processing, Data Mining & Machine learning Tasks, Big Data, Cloud Computing
Authors are invited to submit papers through the Conference Submission System.
Hard copy of the proceedings will be distributed during the Conference.
4th International Conference on Data Science and Cloud Computing (DSCC 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science, Cloud Computing and Applications. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Data Science, Cloud Computing & Applications.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Data Science, Cloud Computing & Applications.
Parallel and Distributed Data Mining Algorithms, Data Streams Mining, Graph Mining, Spatial Data Mining, Text video, Multimedia Data Mining, Web Mining, Pre-Processing Techniques, Visualization, Security and Information Hiding in Data Mining
Databases, Bioinformatics, Biometrics, Image Analysis, Financial Modeling, Forecasting, Classification, Clustering, Social Networks, Educational Data Mining
Data and Knowledge Representation, Knowledge Discovery Framework and Process, Including Pre- and Post-Processing, Integration of Data Warehousing, OLAP and Data Mining, Integrating Constraints and Knowledge in the KDD Process, Exploring Data Analysis, Inference of Causes, Prediction, Evaluating, Consolidating and Explaining Discovered Knowledge, Statistical Techniques for Generation a Robust, Consistent Data Model, Interactive Data Exploration / Visualization and Discovery, Languages and Interfaces for Data Mining, Mining Trends, Opportunities and Risks, Mining from Low-Quality Information Sources.
Machine Learning Applications, Learning in knowledge-intensive systems, Learning Methods and analysis, Learning Problems, Deep Learning
Big Data Algorithms, Big Data Fundamentals, Infrastructures for Big Data, Big Data Management and Frameworks, Big Data Search, Big Data security, Big Data Applications
Cloud Application, Infrastructure and Platforms, Design Tool for Cloud Computing, Cloud Business, Service-Oriented Architecture in Cloud Computing, Cloud Based, Parallel Processing, Virtualization on Platforms in the Cloud, Location Based Services, Presence, Availability, and Locality, Mobile Clouds for New Millennium, Mobile Devices, Social Clouds (Social Networks in the Cloud), Maintenance and Management of Cloud Computing Cloud Computing Architecture, Cloud Applications in Vertical Industries, Cloud Storage and File Systems, Networks within Cloud systems, the Storage Area, and to the Outside Virtualization in the Context of Cloud Computing, Platforms, System Integration, Virtual Compute Clusters, Consolidation NoSQL Data Stores, Performance, SLA Management and Enforcement, Resource Provisioning, Security Techniques for the Cloud, Energy Management and Programming Environments, Data storage and Management in Cloud Computing, Case Studies and Theories in Cloud Computing, The Open Cloud: Cloud Computing and Open Source.
Sabu Lama Tamang
Research Scholar at Sikkim Manipal Institute of Technology
Transitional AI Research Group
C-DAC is the premier R&D organization of the Ministry of Electronics and Information Technology (MeitY)