18080851. GRAPH FEATURE BASED SYSTEM FOR FLOW MANAGEMENT simplified abstract (International Business Machines Corporation)
Contents
- 1 GRAPH FEATURE BASED SYSTEM FOR FLOW MANAGEMENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 GRAPH FEATURE BASED SYSTEM FOR FLOW MANAGEMENT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about the Technology
- 1.11 Original Abstract Submitted
GRAPH FEATURE BASED SYSTEM FOR FLOW MANAGEMENT
Organization Name
International Business Machines Corporation
Inventor(s)
Ryo Kawahara of Toshima-ward (JP)
Mikio Takeuchi of Yokohama (JP)
GRAPH FEATURE BASED SYSTEM FOR FLOW MANAGEMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18080851 titled 'GRAPH FEATURE BASED SYSTEM FOR FLOW MANAGEMENT
Simplified Explanation
The patent application involves converting input data into a graph and generating a time series of snapshot graphs based on the input data. Internal flow probabilities are computed for each snapshot graph in the time series to control a system.
- Input data is converted into a graph.
- Time series of snapshot graphs are generated based on the input data.
- Internal flow probabilities are computed for each snapshot graph.
- The system is controlled based on the internal flow probabilities.
Key Features and Innovation
- Conversion of input data into a graph.
- Generation of a time series of snapshot graphs.
- Computation of internal flow probabilities for each snapshot graph.
- Control of a system based on the internal flow probabilities.
Potential Applications
This technology can be applied in various fields such as network traffic analysis, cybersecurity, and predictive maintenance.
Problems Solved
This technology helps in analyzing complex data structures and making real-time decisions based on internal flow probabilities.
Benefits
- Improved data analysis capabilities.
- Enhanced system control based on internal flow probabilities.
- Real-time decision-making support.
Commercial Applications
The technology can be utilized in industries such as telecommunications, finance, and transportation for optimizing operations and enhancing security measures.
Questions about the Technology
How does this technology improve data analysis processes?
This technology enhances data analysis processes by converting input data into a graph and computing internal flow probabilities for each snapshot graph.
What industries can benefit from the application of this technology?
Various industries such as telecommunications, finance, and transportation can benefit from the application of this technology for optimizing operations and enhancing security measures.
Original Abstract Submitted
Input data is obtained and converted into a graph. Based on the converted input data, a time series of snapshot graphs is generated by selecting edges whose timestamps are in a given time window for each of a plurality of time windows, each edge having a corresponding attribute. Internal flow probabilities are computed for each snapshot graph of the time series of snapshot graphs and a system is controlled based on the internal flow probabilities.
