eBook Managing and Mining Sensor Data, 1st Edition

  • Published By:
  • ISBN-10: 1461463092
  • ISBN-13: 9781461463092
  • DDC: 006.312
  • Grade Level Range: College Freshman - College Senior
  • 534 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013
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About

Overview

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

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.