Event-driven surveillance

Více o knize

The Web has evolved into a significant reservoir of personal information, with individuals actively engaging through platforms like Twitter, blogs, and chats, sharing current feelings, experiences, and news. This data can reveal early signs of disease outbreaks, customer preferences, and political shifts. Surveillance and early warning systems utilize this information to detect changes and keep people informed. The array of data available for surveillance is vast, encompassing sensor readings, counts, and insights from natural language documents. The author aims to highlight the diverse applications and possibilities of surveillance, beginning with an overview of its various domains. She summarizes the information sources currently accessible for surveillance systems and emphasizes the importance of unstructured data. The core of the book focuses on existing and potential methods for processing unstructured data in the context of surveillance. An illustrative case study on disease surveillance through Web 2.0 is presented, detailing relevant methods and challenges. The book concludes by discussing new surveillance opportunities arising from recent advancements in the Internet and mobile communication, alongside future challenges that lie ahead.