Detecting time-related changes in wireless sensor networks using symbol compression and probabilistic suffix trees

IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings

Volumn , Issue , 2010, Pages 2946-2951

  Li, YuanYuan ^a   Thomason, Michael ^a   Parker, Lynne E ^a  

^a University of Tennessee Knoxville   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION; ANOMALY DETECTOR; DATA SETS; DETECTING TIME; DETECTION ALGORITHM; FREEZING TEMPERATURES; FUZZY ADAPTIVE RESONANCE THEORIES; LIGHT WEIGHT; MACHINE-LEARNING; MARKOV MODEL; NEURAL NETWORK CLASSIFIER; PROBABILISTIC SUFFIX TREES; RESOURCE-CONSTRAINED; SENSOR DATA; TEMPORAL SEQUENCES; THREE COMPONENT; UNKNOWN ENVIRONMENTS; VOLCANO MONITORING;

ARTS COMPUTING; COMPRESSORS; DETECTORS; INTELLIGENT ROBOTS; MARKOV PROCESSES; NEURAL NETWORKS; SEMANTICS; SENSOR NETWORKS; SENSOR NODES; TELECOMMUNICATION EQUIPMENT;

WIRELESS SENSOR NETWORKS;

EID: 78651476940     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2010.5649660     Document Type: Conference Paper

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