Managing and Mining Sensor Data

• Corporate Author: SpringerLink (Online service)
• Other Authors: Aggarwal, Charu C. (Editor)
• Format: Electronic
• Language: English
• Published: Boston, MA : Springer US : Imprint: Springer, 2013.
• Subjects: Computer science.; Computer Communication Networks.; Database management.; Data mining.; Information storage and retrieval systems.; Computer Science.; Data Mining and Knowledge Discovery.; Database Management.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-6309-2

 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.�