Efficient Data Cleaning Algorithm and Swift Unique User Identification Algorithm Using Coalesced Hashing and Binary Search Techniques for Web Usage Mining 1 Ranjena Sriram 2 S. Sheeja and 3 I. Henry Alexander 1 Karpagam University, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India. ranjenasriram@gmail.com 2 Department of Computer Applications, Karpagam University, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India. sheejaajize@gmail.com 3 Udumalpet, Tirupur District, Tamil Nadu, India. henryalexander695@gmail.com Abstract 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. Web Log Server the main source of data has to organize the huge volume of user data and accordingly the searching has to be done efficiently. To overcome these problems a innovative Hashing technique International Journal of Pure and Applied Mathematics Volume 118 No. 18 2018, 3443-3467 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu Special Issue ijpam.eu 3443