Data Mining
Data mining can be considered a superset of many different methods to extract insights from data. It might involve traditional statistical methods and machine learning. Data mining applies methods from many different areas to identify previously unknown patterns from data. This can include statistical algorithms, machine learning, text analytics, time series analysis and other areas of analytics. Data mining also includes the study and practice of data storage and data manipulation.
- High performance data mining algorithm
- Data Mining in Healthcare data
- Medical Data Mining
- Advanced Database and Web Application
- Data mining and processing in bioinformatics, genomics and biometrics
Related Conference of Data Mining
Data Mining Conference Speakers
Recommended Sessions
- Applications of Big data
- Artificial intelligence
- Artificial intelligence applications
- Augmented reality (AR) and Virtual reality
- Automation
- Big data
- Big data analytics
- Business Intelligence
- Cloud computing
- Cloud computing in E-commerce
- Computer image processing
- Computer Science and Technology
- Data analytics in cloud
- Data Mining
- Data Mining
- Deep learning
- Iot (Internet of things)
- Machine learning
- SAP SAS (Statistical Analysis System)
- Why Is Big Data Important?