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Book Chapter
Relevance Feedback Base User Convenient Semantic Query Processing Using Neural NetworkPublished in Springer Singapore
2018
Pages: 23 - 30
Topics: Relevance feedback (56)%56% related to the paper, Semantic computing (54)%54% related to the paper, Semantic query (54)%54% related to the paper and Semantic Intelligence (53)%53% related to the paper
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About the journal
| Journal | Data powered by TypesetNature Inspired Computing Advances in Intelligent Systems and Computing |
|---|---|
| Publisher | Data powered by TypesetSpringer Singapore |
| ISSN | 2194-5357 |
| Open Access | 0 |
Authors (2)
Mohan Kumar P- Green synthesis of silver nanoparticles using Terminalia chebula extract at room temperature and their antimicrobial studies
- Terminalia chebula mediated green and rapid synthesis of gold nanoparticles
- Biobased green method to synthesise palladium and iron nanoparticles using Terminalia chebula aqueous extract
- Feedback relevance base semantic query processing efficiency analysis using neural networks
Balamurugan B J- Analysis of performance measures to handle medical E-commerce shopping cart abandonment in cloud
- Relevance Feedback Base User Convenient Semantic Query Processing Using Neural Network
- Study of characteristics of large data collections to build a high performance system
- Cloud based automated framework for semantic rich ontology construction and similarity computation for E-health applications
