Big Data, Data Science and Data Mining
Big Data is a field that gets ways break down, systematically extract data from informational collections that are unpredictable to be managed by conventional information handling application programming. Big Data challenges including capturing data, data storage, data analytics, search, transfer, representation, questioning, and refreshing and information security.
Data science is a field that joins all that is identified with the cleansing, preparation and last examination of information. Data science solidifies the programming, intelligent reasoning, number-crunching, and insights. It gets information in the fastest manner and supports the restriction of looking at things with a substitute viewpoint.
Data mining is essentially the way toward collecting information from the databases. We can thus term data mining as a juncture of different fields like artificial intelligence, data room virtual base management, pattern recognition, visualization of data, machine learning, and statistical studies and so on.
- Cost reduction
- Faster, Better decision making
- New Products and Services
Related Conference of Big Data, Data Science and Data Mining
6th Annual Summit on Satellite and Space Communication Technology
7th International Conference on Artificial Intelligence, Machine Learning and Robotics
10th International Conference and Expo on Computer Graphics & Animation
Big Data, Data Science and Data Mining Conference Speakers
Recommended Sessions
- Advancement of Cybersecurity
- AI & Machine Learning in HealthCare & Medical Science
- Automated Machine Learning
- Automatic Machine Translation
- Big Data, Data Science and Data Mining
- Biometric Security Solutions
- Computer Aided Medical Diagnostics
- Computer Vision and Image Processing
- Deep Learning and Artificial Intelligence
- Deep Learning Frameworks
- Email Spam and Malware Filtering
- Internet of Things (IoT)
- Object Detection with Digits
- Online Customer Support
- Online Fraud Detection
- Pattern Recognition & Speech Recognition
- Predictive Analytics
- Robotic Process Automation (RPA)
- Self-driving cars
- Virtual Reality (VR) and Gaming
- Virtual Reality And Augmented Reality
- Voice Assistants
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