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Knowledge Discovery from Sensor Data

Overview of attention for book
Cover of 'Knowledge Discovery from Sensor Data'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Data Mining for Diagnostic Debugging in Sensor Networks: Preliminary Evidence and Lessons Learned
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    Chapter 2 Monitoring Incremental Histogram Distribution for Change Detection in Data Streams
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    Chapter 3 Situation-Aware Adaptive Visualization for Sensory Data Stream Mining
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    Chapter 4 Unsupervised Plan Detection with Factor Graphs
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    Chapter 5 WiFi Miner: An Online Apriori-Infrequent Based Wireless Intrusion System
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    Chapter 6 Probabilistic Analysis of a Large-Scale Urban Traffic Sensor Data Set
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    Chapter 7 Spatio-temporal Outlier Detection in Precipitation Data
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    Chapter 8 Large-Scale Inference of Network-Service Disruption upon Natural Disasters
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    Chapter 9 An Adaptive Sensor Mining Framework for Pervasive Computing Applications
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    Chapter 10 A Simple Dense Pixel Visualization for Mobile Sensor Data Mining
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    Chapter 11 Incremental Anomaly Detection Approach for Characterizing Unusual Profiles
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    Chapter 12 Spatiotemporal Neighborhood Discovery for Sensor Data
Attention for Chapter 1: Data Mining for Diagnostic Debugging in Sensor Networks: Preliminary Evidence and Lessons Learned
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Citations

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9 Mendeley
Summary Dimensions citations
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Chapter title
Data Mining for Diagnostic Debugging in Sensor Networks: Preliminary Evidence and Lessons Learned
Chapter number 1
Book title
Knowledge Discovery from Sensor Data
Published in
ADS, January 2010
DOI 10.1007/978-3-642-12519-5_1
Book ISBNs
978-3-64-212518-8, 978-3-64-212519-5
Authors

Tarek Abdelzaher, Mohammad Khan, Hieu Le, Hossein Ahmadi, Jiawei Han

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 22%
Other 1 11%
Lecturer 1 11%
Student > Ph. D. Student 1 11%
Student > Bachelor 1 11%
Other 2 22%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 7 78%
Engineering 1 11%
Unknown 1 11%

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