Data Mining Applications in Science, Engineering, Healthcare and Medicine
Datamining is the process of discovering patterns to extract information with an intelligent method from a data set and transform the information into a comprehensible structure for further use. Data mining is the detailed examination step of the "knowledge discovery in #databases" process. These applications relate Data mining structures in genuine cash related business territory examination, Application of data mining in positioning, Data mining and #WebApplication, Engineering data mining, Data Mining in security, Social Data Mining, #NeuralNetworks and Data Mining, Medical Data Mining, Data Mining in Healthcare
- The Modern Algorithmic Toolbox
- Query Processing, Data Modeling, and Analysis
- Bayesian networks
- Case Studies and Implementation
- Economic Growth in Renewable Energy Industry
- Application of data mining in education
- Data mining and processing in bioinformatics, genomics and biometrics
- Engineering data mining
- Advanced Database and Web Application
- Medical Data Mining
- Data Mining in Healthcare data
- Data mining in security
- High performance data mining algorithms
- Methodologies on large-scale data mining
- Data mining systems in financial market analysis
- Bayesian networks Big data in nursing inquiry
- Data Types for Big Data
Related Conference of Data Mining Applications in Science, Engineering, Healthcare and Medicine
October 16-17, 2023
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10th World congress on Big Data, Computer science, Analytics and Data Mining
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Data Mining Applications in Science, Engineering, Healthcare and Medicine Conference Speakers
Recommended Sessions
- Artificial Intelligence
- Big Data Analytics
- Big Data Technologies
- Business Analytics
- Cloud Computing
- Clustering
- Data Mining Methods and Algorithms
- Forecasting from Big Data
- Internet of Things (IOT)
- Nanoinformatics
- New Visualization Techniques
- Renewable Energy Forecasting with Big Data
- Social Network Analysis
- Big Data Algorithm
- Big Data Applications, Challenges and Opportunities
- Big Data in Nursing Research
- Big Data Optimization
- Complexity and Algorithms
- Data Mining and Machine Learning
- Data Mining Applications in Science, Engineering, Healthcare and Medicine
- Data Mining Tasks, Processes and Analysis
- Data Mining Tools and Software
- Data Privacy and Ethics
- Data Warehousing
- Frequent Pattern Mining
- Open Data
- Search and Data Mining
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