Big Data Optimization
The term Big Data is here: information of immense sizes is getting to be universal. With this, there is a need to take care of advancement issues of exceptional sizes. Machine learning, compacted detecting, informal organization science and computational science are some of the meager clear #application areas where it is anything but difficult to plan improvement issues with millions or billions of variables. The #long-established advance calculations are not intended to scale to occasions of this size, new methodologies are required.
- Optimization of big data in mobile networks
- Computational problems in magnetic resonance imaging
Related Conference of Big Data Optimization
October 16-17, 2023
17th International Conference & Exhibition on Biosensors & Bioelectronics
Toronto, Canada
November 08-09, 2023
3rd International conference on Information Technology, Data Science and Digital Health
Paris, France
November 13-14, 2023
5th International Conference on Aerospace, Defense and Mechanical Engineering
Amsterdam, Netherlands
November 15-16, 2023
10th World congress on Big Data, Computer science, Analytics and Data Mining
Paris, France
December 01-02, 2023
10th International Conference and Exhibition on Mechanical & Aerospace Engineering
Vancouver, Canada
April 24-25, 2024
6th Annual Summit on Satellite and Space Communication Technology
Amsterdam, Netherlands
Big Data Optimization Conference Speakers
Recommended Sessions
- Artificial Intelligence
- Big Data Analytics
- Big Data Technologies
- Business Analytics
- Cloud Computing
- Clustering
- Data Mining Methods and Algorithms
- Forecasting from Big Data
- Internet of Things (IOT)
- Nanoinformatics
- New Visualization Techniques
- Renewable Energy Forecasting with Big Data
- Social Network Analysis
- Big Data Algorithm
- Big Data Applications, Challenges and Opportunities
- Big Data in Nursing Research
- Big Data Optimization
- Complexity and Algorithms
- Data Mining and Machine Learning
- Data Mining Applications in Science, Engineering, Healthcare and Medicine
- Data Mining Tasks, Processes and Analysis
- Data Mining Tools and Software
- Data Privacy and Ethics
- Data Warehousing
- Frequent Pattern Mining
- Open Data
- Search and Data Mining
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