TY - BOOK AU - Aggarwal,Charu C. ED - SpringerLink (Online service) TI - Managing and Mining Sensor Data SN - 9781461463092 AV - QA76.9.D343 U1 - 006.312 23 PY - 2013/// CY - Boston, MA PB - Springer US, Imprint: Springer KW - Computer science KW - Computer communication systems KW - Database management KW - Data mining KW - Information storage and retrieval KW - Computer Science KW - Data Mining and Knowledge Discovery KW - Database Management KW - Information Storage and Retrieval KW - Computer Communication Networks KW - Information Systems Applications (incl. Internet) N1 - An Introduction to Sensor Data Analytics -- A Survey of Model-based Sensor Data Acquisition and Management -- Query Processing in Wireless Sensor Networks -- Event Processing in Sensor Streams -- Dimensionality Reduction and Filtering on Time Series Sensor Streams -- Mining Sensor Data Streams -- Real-Time Data Analytics in Sensor Networks -- Distributed Data Mining in Sensor Networks -- Social Sensing -- Sensing for Mobile Objects -- A Survey of RFID Data Processing -- The Internet of Things: A Survey from the Data-Centric Perspective -- Data Mining for Sensor Bug Diagnosis -- Mining of Sensor Data in Healthcare: A Survey -- Earth Science Applications of Sensor Data N2 - Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and  have even been integrated into day-to-day devices of use, such as mobile phones. This has lead to a much larger scale of applicability and mining of sensor data sets. The human-centric aspect of sensor data has created tremendous opportunities in integrating social aspects of sensor data collection into the mining process.  Managing and Mining Sensor Data is a contributed volume by prominent leaders in this field, targeting advanced-level students in computer science as a secondary text book or reference. Practitioners and researchers working in this field will also find this book useful.  UR - http://dx.doi.org/10.1007/978-1-4614-6309-2 ER -