Design and Implementation of Improved Frequent Item Set Mining Technique On Electricity Billing System

Electricity is one of the fundamental necessities of the human being which is commonly used for industrial, domestic and agricultural purposes, therefore problem arises when we distribute this electricity and cannot work beyond the meter readings. With the advent of time technology has provided tremendous advancements on its consumption, generation and distribution, one such area for its improvement is in its billing system and data mining approach has given a large scope for its improvement in billing system. Our existing electricity board billing system is obsolete and time consuming. The approach here is based on consumption because we cannot rely on the meter reading as it might give faulty readings as the meter may be mutilated or damaged manually and their might be large differences between power consumption and the amount billed. This approach here also checks on electricity theft and helps in maintaining the electricity billing standards. Keywords—frequent item set mining, database, meter reading, electricity billing, correlation, data compression and FP-tree pattern.