An Automated System for espying Tax Elusion using Applied Behavior Analytics: Pertinent to India

Tax evasion persists as a major complication tackled by most of the countries. The taxation system can be integrated with the advancements in analytics directed towards the tracking down of fraudulence. Social media data analytics paves a way for spotting tax non-compliance. In analytics, missing value is the most prevalently appearing problems which can affect the predictions. The idea is to generate temporary values to accomplish an efficient analysis. The methodology drives the validation of income tax statement furnished by the taxpayer with the mined data from the social media network. The spending pattern of an individual is profiled in accordance with the social media intelligence followed by the check for a match between the Income Tax statement and the profile pattern. The problem of data inadequacy is solved by constructing temporary values from past and subsequent data for the facilitation of applied behavior analysis. Henceforth, a socially influenced behavior analytics is formulated for an efficient prediction.