Data Mining
Data mining is basically the process of gathering information from enormous databases that was previously unknowable and obscure and then using that information to make sensible business decisions. Data mining, to put it simply, is the process of identifying patterns in huge data sets using techniques that combine machine learning, statistics, and database systems. Data mining is an interdisciplinary field that combines statistics and computer science. Its main objective is to extract information from a data set and organize it in a way that may be used later.
- Data Management
- Data Pre-Processing
- Visualization
- Business Intelligence
Related Conference of Data Mining
October 28-29, 2025
8th International Conference on Artificial Intelligence, Machine Learning and Robotics
Amsterdam, Netherlands
November 27-28, 2025
3rd World Summit on Big Data, Machine Learning and Artificial Intelligence
Dubai, UAE
November 27-28, 2025
11th World congress on Big Data, Computer science, Analytics and Data Mining
Paris, France
December 01-02, 2025
11th International Conference and Exhibition on Mechanical & Aerospace Engineering
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December 11-12, 2025
24th International Conference on Big Data & Data Analytics
Amsterdam, Netherlands
December 15-16, 2025
6th International Conference on Aerospace, Defense and Mechanical Engineering
Amsterdam, Netherlands
December 17-18, 2025
7th Annual Summit on Satellite and Space Communication Technology
Amsterdam, Netherlands
December 17-18, 2025
12th Global Meet on Wireless and Satellite Communications
Aix-en-Provence, France
Data Mining Conference Speakers
Recommended Sessions
- Advancement of Cyber Security
- AI & Machine Learning in HealthCare & Medical Science:
- AI Gaming
- Artificial Intelligence
- Big Data Analytics
- Biometric Security Solutions
- Cloud Computing
- Computer Vision and Image Processing
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- Data Science
- Deep Learning Frame Work:
- Facial Expression and Emotion Detection
- Internet of Things (IoT)
- Machine Learning &Deep Learning
- Natural Language Processing (NLP) and Speech Recognition:
- Object Data Detection with Digits
- Online Fraud Detection
- Pattern Recognition
- Robotic Process Automation
- Virtual Reality and Augmented Reality
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