5th International Conference on Data Science and Applications (DSA 2024)

  • 23-24 Nov 2024
  • London, United Kingdom

Description

Topics
  • Big Data Applications
  • Big Data Algorithms
  • Big Data Management and Frameworks
  • Big Data Fundamentals
  • Big Data security
  • Big Data Search
  • Bio-Metrics
  • Bioinformatics
  • Data and Knowledge Representation
  • Consistent Data Model
  • Databases
  • Data Streams Mining, Graph Mining, Spatial Data Mining
  • Exploring Data Analysis
  • Deep Learning
  • Forecasting, Classification, Clustering
  • Financial Modeling
  • Inference of Causes, Prediction, Evaluating, Consolidating and Explaining Discovered Knowledge
  • Image Analysis
  • Integrating Constraints and Knowledge in the KDD Process
  • Infrastructures for Big Data
  • Interactive Data Exploration / Visualization and Discovery
  • Integration of Data Warehousing
  • Languages and Interfaces for Data Mining
  • Knowledge Discovery Framework and Process, Including Pre- and Post-Processing
  • Learning Problems
  • Learning in knowledge-intensive systems
  • Mining from Low-Quality Information Sources
  • Machine Learning Applications
  • OLAP and Data Mining
  • Mining Trends, Opportunities and Risks
  • Pre-Processing Techniques, Visualization
  • Parallel and Distributed Data Mining Algorithms
  • Social Networks, Educational Data Mining
  • Security and Information Hiding in Data Mining
  • Text video, Multimedia Data Mining, Web Mining
  • Statistical Techniques for Generation a Robust
Who should Attend
  • Students
  • Professors
  • Researchers
  • Phd Scholars

Venue

  • London, United Kingdom

More Details

Prices:
250-450 US Dollar (Estimated)
Early registration date: 14 Jun 2024
Exhibition:
No exhibition
Organizer:
International Conference on Data Science and Applications (DSA)
Website:

Future Events

Important

Please, check "International Conference on Data Science and Applications (DSA)" official website for possible changes, before making any traveling arrangements

Event Categories

Science: Computer Science
Technology: Data management, Information Technology (IT)

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