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Sharmila Banu K.

Working as an Assistant Professor in the School of Computing Science & Engineering, VIT University since 2009.

Publications

Neighborhood Rough-Sets-Based Spatial Data Analytics

Rough Set Theory partitions a universe using single layered granulation. The equivalence classes induced by rough sets are based on discretised values. Considering the fact that...

Rough Fuzzy Set Theory and Neighbourhood Approximation Based Modelling for Spatial Epidemiology

Modern epidemiological studies involve understanding individual and social level inferences and their role in the transmission and distribution of disease instances. The...

Exploring Incidence-Prevalence Patterns in Spatial Epidemiology via Neighborhood Rough Sets

Epidemiological studies are largely purposed to provide outcomes that may be used for interventions and development programs. In recent years, geo-referencing of epidemiological...

Rough Set Based Similarity Measures for Data Analytics in Spatial Epidemiology

Epidemiological studies are carried out to understand the pattern and transmission of disease instances. Some prominent dimensions considered for analysis are cohort studies...

Rough Fuzzy Set Theory and Neighbourhood Approximation Based Modelling for Spatial Epidemiology

Modern epidemiological studies involve understanding individual and social level inferences and their role in the transmission and distribution of disease instances. The...