17533898. FEATURE SELECTION USING HYPERGRAPHS simplified abstract (International Business Machines Corporation)
Contents
FEATURE SELECTION USING HYPERGRAPHS
Organization Name
International Business Machines Corporation
Inventor(s)
Sandeep Hans of New Delhi (IL)
Eitan Daniel Farchi of Haifa (IL)
Diptikalyan Saha of Bangalore (IN)
FEATURE SELECTION USING HYPERGRAPHS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17533898 titled 'FEATURE SELECTION USING HYPERGRAPHS
Simplified Explanation
The abstract describes a system that uses a processor to receive a set of features, relations between the features, and target features. The target features are associated with certain relations. The processor generates a hypergraph based on these features and relations. It then selects a subset of features for each target feature based on the transitive closure of the hypergraph. Finally, the selected subset of features is transmitted.
- The system uses a processor to receive features, relations, and target features.
- It generates a hypergraph based on these inputs.
- The processor selects a subset of features for each target feature.
- The selection is based on the transitive closure of the hypergraph.
- The selected subset of features is then transmitted.
Potential Applications
- Data analysis and mining
- Recommendation systems
- Network analysis
Problems Solved
- Efficiently selecting relevant features based on relations
- Handling complex data structures and relationships
- Streamlining data processing and transmission
Benefits
- Improved accuracy in feature selection
- Faster and more efficient data processing
- Enhanced decision-making capabilities
Original Abstract Submitted
An example system includes a processor to receive a set of features, a set of relations between the features, and a set of target features. Each of the target features is associated with a number of the relations. The processor can generate a hypergraph based on the features and the relations. The processor also can select a subset of features based on a transitive closure of the hypergraph for each of the target features. The processor can transmit the selected subset of features.
