Analytics
Graph analytics and social network analysis can provide new insights into complex interconnected phenomena such as social, economic, and physical systems.
Analytics
Graph analytics is a method of analyzing graph data composed of entities (nodes) and their interactions and relationships (links). By leveraging the contextual information of these relationships, graph analytics can address problems that traditional analysis techniques may not cover.
Relational perspective data analysis
Supporting a comprehensive analysis of entities and their relational characteristics to enhance a more accurate understanding of data.
Intuitive understanding of data structure
Visualize graphs to gain intuitive insights into the overall data structure and connectivity patterns.
Improved analysis accuracy
Leverage additional learning from the "relationship" information within the data to enhance the accuracy of classification and prediction models.
Graph Data Science Platform
Analyze graph data within big data anytime, anywhere.
NetMiner365
Cloud-Native Service (SaaS) Platform for Graph Analysis and Machine Learning
NetMiner365
Cloud-Native Service (SaaS) Platform for Graph Analysis and Machine Learning
Combining Graph Analysis and Machine Learning
Optimized GUI for Graph Analysis
Support for Graph Data in Convergent Analysis
NetMiner365
Combining Graph Analysis and Machine Learning
Optimized GUI for Graph Analysis
Support for Graph Data in Convergent Analysis