Yogalakshmi Jayabal– International Institute of Information Technology,Bangalore
Yogalakshmi Jayabal research interests involve different aspects in data analytics involving various data mining algorithms. Yogalakshmi Jayabal focus more towards clustering algorithms and mostly towards clustering mixed data types and cluster analysis of correlated variables. Data is collected in a variety of formats and types. For example, in the field of education: data about students, enrollment, performance, and assessments are collected. Properties like performance metrics (marks obtained, result), demographic details (location, economic status) are measured and stored. It is worth noting that data in the real world are rarely homogenous (i.e., fully quantitative, fully categorical, etc.) Hence, often this real world information available to us as data sources includes both quantitative and qualitative observations of the subjects. These data of interest could be distributed and heterogeneous in nature. Hence, analyzing this heterogeneous and mixed data available to us is important and challenging. Sometimes, within a single data set, some attributes may be correlated with other attributes. These correlations between different attributes could also be high. Hence, modeling the correlation between attributes in analysis is a challenging problem to explore. Currently I work on these topics.