Managing and Mining Sensor Data
By: edited by Charu C. Aggarwal
Contributors: SpringerLink (Online service)
Publisher: Springer US; Imprint: Springer
Published: 2013
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] /
Number of pages: 534
ISBN-13: 9781461463092
Subjects: Data Mining and Knowledge Discovery; Database management; Information storage and retrieval systems; Information organization; Information retrieval; Computer Communication Networks; Information Systems Applications (incl. Internet); Computer science; Data mining
Description: <p>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.  </p><p><i>Managing and Mining Sensor Data</i> 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.  </p>
Table of contents: title: An Introduction to Sensor Data Analytics; title: A Survey of Model-based Sensor Data Acquisition and Management; title: Query Processing in Wireless Sensor Networks; title: Event Processing in Sensor Streams; title: Dimensionality Reduction and Filtering on Time Series Sensor Streams; title: Mining Sensor Data Streams; title: Real-Time Data Analytics in Sensor Networks; title: Distributed Data Mining in Sensor Networks; title: Social Sensing; title: Sensing for Mobile Objects; title: A Survey of RFID Data Processing; title: The Internet of Things: A Survey from the Data-Centric Perspective; title: Data Mining for Sensor Bug Diagnosis; title: Mining of Sensor Data in Healthcare: A Survey; title: Earth Science Applications of Sensor Data.