Learning from Data Streams: Processing Techniques in Sensor Networks

摘要: Sensor networks consist of distributed autonomous devices that cooperatively monitor an environment. Sensors are equipped with capacities to store information in memory, process this and communicate their neighbors. Processing data streams generated from wireless sensor has raised new research challenges over the last few years due huge numbers be managed continuously at a very high rate. The book provides reader comprehensive overview stream processing, including famous prototype implementations like Nile system TinyOS operating system. The set chapters covers state-of-art mining approaches using clustering, predictive learning, tensor analysis techniques, applying them applications security, natural sciences, education. This monograph delivers researchers graduate students state art processing networks. bibliography offers excellent starting point for further reading future research.