International Conference on Data Science and Applications (DSA) 2020

November 28th, 2020
Cyber Security Leadership Summit

 November 28th, 2020 - November 29th, 2020 

International Conference on Data Science and Applications (DSA) 2020

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

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38 Days Until The Event
November 28th, 2020 - November 29th, 2020
United Kingdom » 
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 London

- 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 Applications (DSA 2020) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science 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 & 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 & Applications.

Topics of interest include, but are not limited to, the following:

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 and analysis
-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

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