Knowledge Discovery from Sensor Data

As sensors become ubiquitous, a set of broad requirements is beginning to emerge across high-priority applications including disaster preparedness and management, adaptability to climate change, national or homeland security, and the management of critical infrastructures. This book presents innovative solutions in offline data mining and real-time analysis of sensor or geographically distributed data. It discusses the challenges and requirements for sensor data based knowledge discovery solutions in high-priority application illustrated with case studies. It explores the fusion between heterogeneous data streams from multiple sensor types and applications in science, engineering, and security.

隨著感測器的普及，一系列廣泛的需求正在出現，包括災害應急管理、應對氣候變化、國家或國土安全以及關鍵基礎設施管理等高優先級應用領域。本書提出了離線數據挖掘和實時分析感測器或地理分佈數據的創新解決方案。它討論了基於感測器數據的知識發現解決方案在高優先級應用中面臨的挑戰和需求，並通過案例研究加以說明。本書探討了來自多種感測器類型和科學、工程和安全應用中的異質數據流的融合。

Auroop R. Ganguly, João Gama, Olufemi A. Omitaomu, Mohamed Medhat Gaber, Ranga Raju Vatsavai

Auroop R. Ganguly, João Gama, Olufemi A. Omitaomu, Mohamed Medhat Gaber, Ranga Raju Vatsavai