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Knowledge Discovery from Sensor Data

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Cover of 'Knowledge Discovery from Sensor Data'

Table of Contents

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    Book Overview
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    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 6: Probabilistic Analysis of a Large-Scale Urban Traffic Sensor Data Set
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