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Managing and Mining Sensor Data / edited by Charu C. Aggarwal.
- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Language:
- English
- Subjects (All):
- Data mining.
- Database management.
- Information storage and retrieval.
- Computer networks.
- Application software.
- Data Mining and Knowledge Discovery.
- Database Management.
- Information Storage and Retrieval.
- Computer Communication Networks.
- Information Systems Applications (incl. Internet).
- Local Subjects:
- Data Mining and Knowledge Discovery.
- Database Management.
- Information Storage and Retrieval.
- Computer Communication Networks.
- Information Systems Applications (incl. Internet).
- Physical Description:
- 1 online resource (XIV, 534 pages)
- Edition:
- First edition 2013.
- Contained In:
- Springer eBooks
- Place of Publication:
- New York, NY : Springer US : Imprint: Springer, 2013.
- System Details:
- text file PDF
- Summary:
- 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. .
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-1-4614-6309-2
- 9781461463092
- Access Restriction:
- Restricted for use by site license.
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