Managing and Mining Sensor Data

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 l...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Aggarwal, Charu C. (Editor)
Format: Electronic
Language:English
Published: Boston, MA : Springer US : Imprint: Springer, 2013.
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-6309-2
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.