Sohong Dhar is an information scientist and data science researcher whose work spans web mining, information retrieval, big data analytics, and automated information systems. He holds advanced degrees in Data Science from IIT Madras and DAMA International, and in Library and Information Science from Jadavpur University. In addition to his academic qualifications, he has earned several professional certifications, including GCP Data Engineer Professional, ASQ Certified Six Sigma Black Belt, and credentials in data analytics, cloud computing, and cybersecurity from globally recognized organizations such as Google, Microsoft, and ISACA. His research focuses on the integration of computational models with information science, particularly in the areas of digital libraries, intelligent data systems, and web mining methodologies. His contributions to scholarship include numerous publications in peer-reviewed international journals, as well as innovations in applied data science. Notably, he is co-inventor of two UK Design Patents granted in 2025: one for a Cyber Crime Analytical Computer and another for a Convolutional Neural Network (CNN) Based Computer Device for Student Career Forecasting. These achievements reflect his commitment to advancing technologies at the intersection of data processing, cybersecurity, and educational analytics. Sohong Dhar has held positions as an information scientist at Google Brain and as a visiting fellow at C-Voter, where he has combined academic research with practical technological development. This book on Web Mining offers a comprehensive examination of concepts, algorithms, types, applications, and tools, and serves as a valuable resource for students, researchers, and professionals engaged in data science, information science, and related disciplines.