Comparative Study of Efficient Data Cleaning Algorithm, Innovative and Rapid Unique User Identification Algorithm Using Modified Hashing and Binary Search Techniques

This study compares the proposed Unique User Identification Algorithm with other related works to prove its accuracy and efficiency. The overall study focuses on proposing a new Data cleaning and Unique User Identification processing and unique user identification algorithms for Web Usage Mining to discover and analyse the user's access pattern through mining of log files or log databases and the associated data from a particular website. Pre- processing technique is to clean the data and user identification process to identify unique users. Since number of users interacting with web sites around the world is increasing day by day, the amount of data generated and information gathered could help the organizations to improve their business according to the customers' needs and behavior. Hash function proposed in previous work lacked in accuracy and efficiency, which was further modified and fine-tuned in the next work.