1. Data mining and machine learning: Data mining is the process of discovering hidden patterns, association rules and trends from big data. Machine learning is a method to automatically analyze and predict data by training models. In the research of big data, data mining and machine learning can be used to process large-scale data, extract useful information and establish prediction models.
2. Data visualization and visual analysis: Data visualization is the process of transforming data into visual graphs or charts, so as to better understand and analyze data. Visual analysis is to explore and analyze big data through an interactive visual interface. In the research of big data, data visualization and visual analysis can help people better understand and use big data.
3. Data storage and management: The storage and management of big data is an important issue. Big data usually has the characteristics of high speed, large capacity and high scalability, so it is necessary to design and implement an efficient data storage and management system. Research interests include distributed file system, distributed database and data warehouse.
4. Data privacy and security: The research of big data also needs to consider the issues of data privacy and security. Big data usually involves personal privacy and sensitive information, so corresponding privacy protection and security measures need to be taken to prevent data leakage and abuse.
Extended application of big data
1. Data analysis and decision support: Big data can provide strong support for decision-making. Data analysis and decision support research can use big data to analyze market trends, predict future development and optimize decision-making process.
2. Social network analysis: Big data research can also be applied to social network analysis. Social network analysis can reveal social network structure, community discovery and information dissemination by analyzing large-scale social network data.