International Conference on Data Science and Cloud Computing (DSCC) 2020

December 12th, 2020
Cyber Security Leadership Summit

 December 12th, 2020 - December 13th, 2020 

International Conference on Data Science and Cloud Computing (DSCC) 2020

Event submitted on Monday, October 12th 2020, approved by Henry Dalzel

International Conference on Data Science and Cloud Computing (DSCC) 2020, December 12th, 2020Click to Tweet

48 Days Until The Event
December 12th, 2020 - December 13th, 2020
United Arab Emirates » 
Event Website

This event has been tagged as follows:

* This is an online event (webinar)

 Our Review

This would be an excellent conference for those with working with IOT technology and also living and working in Dubai

- Review written by Henry Dalziel on Monday, October 12th 2020.
- If you would like to edit or ammend facts in my review please either send us a message or connect with me via LinkedIn.

Event Summary

The following description was either submitted by the Conference Organizer on Monday, October 12th 2020, or created by us.

International Conference on Data Science and Cloud Computing (DSCC 2020) 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.

-Data mining foundations
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

-Data mining Applications
Databases, Bioinformatics, Biometrics, Image Analysis, Financial Modeling, Forecasting, Classification, Clustering, Social Networks, Educational Data Mining

-Knowledge Processing
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.

-Data Mining & Machine learning Tasks
Machine Learning Applications, Learning in knowledge-intensive systems, Learning Methods andanalysis, Learning Problems, Deep Learning

-Big Data
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 Computing
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.

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