Decision Intelligence Analytics: Making Decisions Through Data Pattern and Segmented Analytics

초록

Prescriptive analysis is regarded as the extensive probe with regard to the value added to the analysis. Panel data or longitudinal data can be regarded as a marriage between time-series and cross-sectional data. This kind of data is mostly used in econometrics, epidemiology, business, and social behavioral studies. The representation, analysis, and prediction of panel data are of utmost importance for decision making. Although traditional models are present for panel data analysis, there is no rigid model to represent panel data and then perform analysis. The representation gets tough due to the multidimensionality factor present. In this chapter, the author tries to represent panel data formally in terms of a lattice, and then exploiting the properties of concept lattice, various rule-based analyses are presented with support and confidence level. The algorithm is finally implemented in a data set, and various interesting observations are generated. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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