Profiling (Information science)
This includes the use of algorithms or other mathematical strategies to big datasets that have been accrued in databases with a purpose to find styles or relationships. Profiles can be described as those patterns or correlations which might be utilized to discover or represent people. The concept of profiling in this sense is not pretty much the creation of profiles, other than a discussion of profiling technologies or population profiles it additionally refers to the application of organization profiles to individuals in conditions like credit score scoring price discrimination or the detection of protection dangers. Profile evaluation is a multivariate statistical technique, which is the equal of multivariate analysis of variance (MANOVA) for repeated measures. This method is extensively used by researchers in training, psychology, and medication for the non-orthogonal decomposition of located rankings into stage and sample consequences.
Related Conference of Profiling (Information science)
12th World Congress on Computer Science, Machine Learning and Big Data
6th International Conference on Renewable Energy and Resources
12th International Conference and Exhibition on Mechanical & Aerospace Engineering
25th International Conference on Big Data & Data Analytics
Profiling (Information science) Conference Speakers
Recommended Sessions
Related Journals
Are you interested in
- Advanced Deep Learning Architectures - ARTIFICIAL INTELLIGENCE-2026 (France)
- AI Futures & Emerging Trends - ARTIFICIAL INTELLIGENCE-2026 (France)
- AI in Cybersecurity - ARTIFICIAL INTELLIGENCE-2026 (France)
- AI-Driven Autonomous Systems & Robotics - ARTIFICIAL INTELLIGENCE-2026 (France)
- Applied Machine Learning Across Industries - ARTIFICIAL INTELLIGENCE-2026 (France)
- Artificial Intelligence - ARTIFICIAL INTELLIGENCE-2026 (France)
- Artificial Neural Networks - ARTIFICIAL INTELLIGENCE-2026 (France)
- Big Data & Data Engineering - ARTIFICIAL INTELLIGENCE-2026 (France)
- Cloud Computing for AI - ARTIFICIAL INTELLIGENCE-2026 (France)
- Computer Vision - ARTIFICIAL INTELLIGENCE-2026 (France)
- Deep Learning - ARTIFICIAL INTELLIGENCE-2026 (France)
- Generative Adversarial Networks & Diffusion Models - ARTIFICIAL INTELLIGENCE-2026 (France)
- Internet of Things (IoT) & Edge AI - ARTIFICIAL INTELLIGENCE-2026 (France)
- Machine Learning - ARTIFICIAL INTELLIGENCE-2026 (France)
- Multi-Agent Systems - ARTIFICIAL INTELLIGENCE-2026 (France)
- Natural Language Processing - ARTIFICIAL INTELLIGENCE-2026 (France)
- Neural Network Optimization - ARTIFICIAL INTELLIGENCE-2026 (France)
- Neuromorphic Computing & Brain-Inspired AI - ARTIFICIAL INTELLIGENCE-2026 (France)
- Predictive Analytics - ARTIFICIAL INTELLIGENCE-2026 (France)
- Quantum Machine Learning - ARTIFICIAL INTELLIGENCE-2026 (France)
- Reinforcement Learning Applications - ARTIFICIAL INTELLIGENCE-2026 (France)
- Responsible & Ethical AI - ARTIFICIAL INTELLIGENCE-2026 (France)
- Robotics and Intelligent Automation - ARTIFICIAL INTELLIGENCE-2026 (France)

