Similarity-Aware Sampling for Machine Learning-Based Goal-Oriented Subgraph Extraction.
Jhen-Hao YangChih-Ya ShenMing-Yi ChangYa-Chi HoChia-Hsun LuPublished in: ICC (2023)
Keyphrases
- goal oriented
- machine learning
- information extraction
- similarity measure
- requirements analysis
- process oriented
- pattern recognition
- data analysis
- requirements engineering
- random sampling
- similarity function
- monte carlo
- distance measure
- semantic similarity
- computer vision
- text mining
- natural language processing
- support vector machine
- active learning
- sampling algorithm
- frequent subgraph mining
- authoring environment
- data mining
- knowledge acquisition
- text classification
- search space
- inductive logic programming
- graph mining
- machine learning methods
- model selection
- maximum weight
- data marts
- similarity graph
- reinforcement learning
- case study