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Information Technology

Computing & Information Technology

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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. 

Managing and Mining Sensor Data

POST SECONDARY FOUR YEAR

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MANAGING AND MINING SENSOR DATA

Duration

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Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Contents.
Preface.
1: An Introduction to Sensor Data Analytics.
2: A Survey of Model-Based Sensor Data Acquisition and Management.
3: Query Processing in Wireless Sensor Networks.
4: Event Processing in Sensor Streams.
5: Dimensionality Reduction and Filtering on Time Series Sensor Streams.
6: Mining Sensor Data Streams.
7: Real-Time Data Analytics in Sensor Networks.
8: Distributed Data Mining in Sensor Networks.
9: Social Sensing.
10: Sensing for Mobile Objects.
11: A Survey of RFID Data Processing.
12: The Internet of Things: A Survey from the Data-Centric Perspective.
13: A Survey of Data Miningmethods for Sensor Network Bug Diagnosis.
14: Mining of Sensor Data in Healthcare: A Survey.
15: Earth Science Applications of Sensor Data.
Index.

Managing and Mining Sensor Data.css-1p8rvzy{position:absolute;padding-left:8px;}

Managing and Mining Sensor Data