Novel Data Science methods for improving Spatial Statistical analysis of Population Health through grouping of cross and within survey responses

dc.contributor.guide	Sreevalsan-Nair, Jaya
dc.coverage.spatial
dc.creator.researcher	Ravindra, Harshitha
dc.date.accessioned	2026-02-03T06:30:40Z
dc.date.available	2026-02-03T06:30:40Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered	2018
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	xxviii, 231p.
dc.identifier.researcherid	0000-0002-1243-7977
dc.identifier.uri	http://hdl.handle.net/10603/691845
dc.language	English
dc.publisher.institution	Department of Data Sciences
dc.publisher.place	Bangalore
dc.publisher.university	International Institute of Information Technology Bangalore
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Bar-in-PCP
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Information Systems
dc.subject.keyword	Data visualization
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Geospatial visualization
dc.subject.keyword	Malnutrition Survey integration
dc.subject.keyword	NFHS
dc.subject.keyword	NLP
dc.subject.keyword	Semantic embeddings
dc.title	Novel Data Science methods for improving Spatial Statistical analysis of Population Health through grouping of cross and within survey responses
dc.title.alternative
dc.type.degree	Ph.D.