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Knowledge Discovery (Email Harvesting,

Knowledge Discovery (Email Harvesting, 2025

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The document presents research from the World Congress on Engineering and Computer Science 2012, focusing on knowledge discovery in social network data, specifically Facebook. It details an algorithm developed to automatically extract user information such as names, email addresses, and gender from a dataset of 100 million Facebook URLs. The study also includes a methodology for predicting gender when it is unspecified in user profiles. Results indicate that most users' email domains are primarily Yahoo, Hotmail, Gmail, and MSN, with Yahoo being the most common. The paper outlines the system design, extraction processes, and experimental results related to data retrieval and gender prediction.

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