Masoud Charkhabi

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Causal inference from observational data rely on similar treatment and control groups to isolate for variation, in addition to adjustments in estimates to account for the remaining uncontrollable variation. Propensity score matching and statistical inference are established tools to achieve for these two requirements respectively. Network structures in the(More)
Clustering is a well established data exploration and analysis method. It allows interactive discovery and interpretation of groups of entities that have similar properties and characteristics. However, deriving meaningful insights from clusters often presents challenges in large sets of structurally complex data. Large scale commercial enterprises hold an(More)
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