PATTERN RECOGNITION OF A DISTRIBUTION FUNCTION

Various embodiments of systems and methods for pattern recognition of a distribution function are described herein. An influenced distribution function corresponding to an influenced attribute is compared with other distribution functions corresponding to other attributes. Based on the comparison, a correlation is determined between the influenced distribution function and an influencing distribution function from the other distribution functions. Based on the determination, a raw distribution function corresponding to an influenced attribute is extracted using the influenced distribution function and the influencing distribution function. The extracted raw distribution function and the influencing distribution function may be classified.