Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010306710 | QA76.9.D343 M35 2013 | Open Access Book | Book | Searching... |
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Summary
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.
Table of 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 |
