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About

P. Nithya is a researcher specializing in **Web Usage Mining (WUM)** and **data pre-processing**, with a particular focus on improving the accuracy of web log analysis. Her major contributions center on developing novel techniques to clean web log data by removing **global noise**, **cookies**, and, most critically, **web robots**—automated scripts that distort genuine user behavior patterns. Her 2012 paper, *"Novel pre-processing technique for web log mining by removing global noise and web robots,"* has garnered **26 citations**, serving as a foundational reference for researchers seeking to filter out non-human traffic from web logs. Two related works from the same year, each with **7 citations**, extend this approach by separately addressing robot removal and the combined elimination of noise, cookies, and robots. Nithya’s work is particularly notable for its practical impact: by refining the pre-processing stage, she enables more reliable downstream tasks such as user session reconstruction and pattern discovery. Her research is essential reading for students and practitioners in data mining, artificial intelligence, and web analytics who aim to build cleaner, more trustworthy datasets from raw web server logs.