Constraint Governed Association Rule Mining for Identification of Strong SNPs to Classify Autism Data
- Title
- Constraint Governed Association Rule Mining for Identification of Strong SNPs to Classify Autism Data
- Description
- Proceedings of the 2020 IEEE International Conference on Communication, Computing and Industry 4.0, C2I4 2020
- Creator
- Umme Salma M.; Rajashekar P.K.M.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103282877&doi=10.1109%2fC2I451079.2020.9368948&partnerID=40&md5=52f87afdfcdccd0c2630aede95e655e3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103282877&doi=10.1109%2fC2I451079.2020.9368948&partnerID=40&md5=52f87afdfcdccd0c2630aede95e655e3</a>
- Date
- 2020-01-01
Collection
Citation
Umme Salma M.; Rajashekar P.K.M., “Constraint Governed Association Rule Mining for Identification of Strong SNPs to Classify Autism Data,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 9, 2025, https://archives.christuniversity.in/items/show/10986.