Big Data Models and Algorithms
A data model is a strategy by which we can compose and store data. Similarly as the Dewey Decimal System composes the books in a library, a data model encourages us and arranges data as per administration, access, and use.
Big Data is information so huge that it doesn't fit in the primary memory of a solitary machine, and the need to process big data by proficient algorithms emerges in Internet search; organize traffic observing, AI, logical figuring, signal handling, and a few different regions. Few normally utilized algorithms are:
- K-Means Clustering Algorithm
- Association Rule Mining Algorithm
- Linear Regression Algorithms
- Logistic Regression Algorithms
- C4.5
- Support vector machine (SVM)
- Apriori
Related Conference of Big Data Models and Algorithms
March 09-10, 2026
14th Global Summit on Artificial Intelligence and Neural Networks
Singapore City, Singapore
December 07-08, 2026
12th International Conference and Exhibition on Mechanical & Aerospace Engineering
Dubai, UAE
Big Data Models and Algorithms Conference Speakers
Recommended Sessions
- Artificial Intelligence and Machine Learning
- Big Data Analytics and Data Science
- Big Data Architecture, Technologies and Applications
- Big Data Models and Algorithms
- Bioengineering and Bio-Mechanics
- Computer Graphics and Multimedia
- Computer Science and Information Technology
- Cyber Security, Ethics, Privacy and Trust
- Data Mining and Cloud Computing
- Data Warehousing and Data Management
- Homeland Security and Data Analysis
- Humanoid Robotics, Planning and Control
- Integrated and Distributed Systems
- IoT, Autonomous Systems and Agents
- Neural Networks and Cognitive Computing
- Robotics, Automation and Mechatronics
- Semantic, Scalable Computing and Mobile Computing
- Sensors, Networks, Devices
- Software Engineering and Programming
- Virtual Reality (VR) and Gaming
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