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An efficient approach for outlier detection in big sensor data of health care
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-27772-9_59openalex-snapshot
Mining Class Outliers: Concepts, Algorithms and Applications
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Data Mining: Practical Machine Learning Tools and Techniques
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Hierarchical distributed data classification in wireless sensor networks
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Anomaly detection in streaming environmental sensor data: A data-driven modeling approach
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Online anomaly detection for sensor systems: A simple and efficient approach
inferredcites →https://doi.org/10.1023/b:stco.0000035301.49549.88openalex-snapshot
A tutorial on support vector regression
inferredcites →https://doi.org/10.1049/iet-smt.2015.0167openalex-snapshot
Alternative framework of the Gaussian filter for non‐linear systems with synchronously correlated noises
inferredcites →https://doi.org/10.1109/bigdata.congress.2014.19openalex-snapshot
Contextual Anomaly Detection in Big Sensor Data
inferredcites →https://doi.org/10.1109/icc.2013.6655254openalex-snapshot
Sensor fault and patient anomaly detection and classification in medical wireless sensor networks
inferredcites →https://doi.org/10.1109/icip.2008.4712142openalex-snapshot
A nonlinear kernel-based joint fusion/detection of anomalies using Hyperspectral and SAR imagery
inferredcites →https://doi.org/10.1109/infcom.2007.225openalex-snapshot
Insider Attacker Detection in Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/issnip.2013.6529839openalex-snapshot
Combined multiclass classification and anomaly detection for large-scale Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/nbis.2013.43openalex-snapshot
Detecting Anomaly Teletraffic Using Stochastic Self-Similarity Based on Hadoop
inferredcites →https://doi.org/10.1109/tsmc.2013.2263130openalex-snapshot
Mobile Target Scenario Recognition Via Low-Cost Pyroelectric Sensing System: Toward a Context-Enhanced Accurate Identification
inferredcites →https://doi.org/10.1117/12.817701openalex-snapshot
Kernel-based joint fusion/detection of anomalies using hyperspectral and SAR imagery
inferredcites →https://doi.org/10.1137/1.9781611972764.71openalex-snapshot
Spatial Weighted Outlier Detection
inferredcites →https://doi.org/10.3390/s150408764openalex-snapshot
Sensor Anomaly Detection in Wireless Sensor Networks for Healthcare
inferredcites →https://doi.org/10.4018/ijehmc.2014010102openalex-snapshot
Anomaly Detection in Medical Wireless Sensor Networks using SVM and Linear Regression Models
inferredcites →https://doi.org/10.5626/jcse.2013.7.4.272openalex-snapshot
Anomaly Detection in Medical Wireless Sensor Networks
inferredcites →https://doi.org/10.7551/mitpress/1130.001.0001openalex-snapshot
Advances in Kernel Methods
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Security in Blockchain‐Based Smart Cyber‐Physical Applications Relying on Wireless Sensor and Actuators Networks
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A scalable correlation‐based approach for outlier detection in wireless body sensor networks
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Industrial wireless sensor and actuator networks in industry 4.0: Exploring requirements, protocols, and challenges—A MAC survey
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Standalone noise and anomaly detection in wireless sensor networks: A novel time‐series and adaptive Bayesian‐network‐based approach
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Global outliers detection in wireless sensor networks: A novel approach integrating time‐series analysis, entropy, and random forest‐based classification.
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A Fast kNN-Based Approach for Time Sensitive Anomaly Detection over Data Streams
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Optimizing WSNs With Big Data and Federated Learning: A Comprehensive Review
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Automated damping identification of long-span bridge using long-term wireless monitoring data with multiple sensor faults
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An efficient outlier detection method for data streams based on closed frequent patterns by considering anti-monotonic constraints
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An efficient anomaly detection method for uncertain data based on minimal rare patterns with the consideration of anti-monotonic constraints
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Outlier detection strategies for WSNs: A survey
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A probabilistic multivariate copula-based technique for faulty node diagnosis in wireless sensor networks
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A Statistical-Based Light-Weight Anomaly Detection Framework for Wireless Body Area Networks
inferred← citeshttps://doi.org/10.1109/access.2018.2821445openalex-snapshot
Big Data Challenges and Data Aggregation Strategies in Wireless Sensor Networks
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Anomaly Detection and Diagnosis Scheme for Mobile Health Applications
inferred← citeshttps://doi.org/10.1109/bigdata.2017.8258150openalex-snapshot
Weather data analysis and sensor fault detection using an extended IoT framework with semantics, big data, and machine learning
inferred← citeshttps://doi.org/10.1109/iadcc.2018.8692127openalex-snapshot
A Hybrid Approach for Outlier Detection in Weather Sensor Data
inferred← citeshttps://doi.org/10.1109/iconat53423.2022.9725817openalex-snapshot
Outlier detection in Wireless Sensor Network for Health Care: A statistical approach
inferred← citeshttps://doi.org/10.1109/jbhi.2022.3198254openalex-snapshot
Dealing With Inaccurate Sensor Data in the Context of Mobile Crowdsensing and mHealth
inferred← citeshttps://doi.org/10.1109/mlds.2017.14openalex-snapshot
INGC: Graph Clustering & Outlier Detection Algorithm Using Label Propagation
inferred← citeshttps://doi.org/10.1109/mlds.2017.6openalex-snapshot
Classification of Cancerous Profiles Using Machine Learning
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C-HDESHO: Cancer Classification Framework using Single Objective Meta—heuristic and Machine learning Approaches
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Clonal Selection based Parallel Fuzzy Clustering using Map-reduce
inferred← citeshttps://doi.org/10.1111/exsy.12390openalex-snapshot
AUDIT: AnomaloUs data Detection and Isolation approach for mobile healThcare systems
inferred← citeshttps://doi.org/10.1142/s0219720018500178openalex-snapshot
An integrated framework for identification of effective and synergistic anti-cancer drug combinations
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An Efficient Outlier Detection Approach for Streaming Sensor Data Based on Neighbor Difference and Clustering
inferred← citeshttps://doi.org/10.11591/eei.v10i5.2968openalex-snapshot
Telehealth care enhancement using the internet of things technology
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Efficient Detection Using Soft Computing Approach of Modified Fuzzy C-Means Based Outlier Detection in Electronics Patient Records Systems
inferred← citeshttps://doi.org/10.30574/wjarr.2022.16.3.1206openalex-snapshot
Detecting anomalous sensor readings in wireless networks for remote area
inferred← citeshttps://doi.org/10.3390/s22051951openalex-snapshot
A Correlation-Based Anomaly Detection Model for Wireless Body Area Networks Using Convolutional Long Short-Term Memory Neural Network
inferred← citeshttps://doi.org/10.4018/978-1-5225-8407-0.ch013openalex-snapshot
Enabling Technologies for IoT
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Anomaly Detection in Healthcare Monitoring Survey
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A precise sensor fault detection technique using statistical techniques for wireless body area networks
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