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A Simulation-driven Methodology for IoT Data Mining Based on Edge Computing

https://doi.org/10.1145/3402444
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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EdgeCloudSim: An environment for performance evaluation of edge computing systems
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IoTSim‐Edge: A simulation framework for modeling the behavior of Internet of Things and edge computing environments
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CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
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Managing and Mining Sensor Data
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Management of Cyber Physical Objects in the Future Internet of Things
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The Social Internet of Things (SIoT) – When social networks meet the Internet of Things: Concept, architecture and network characterization
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Systematic survey of big data and data mining in internet of things
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Forecasting the behavior of an elderly using wireless sensors data in a smart home
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Modelling and simulation of Opportunistic IoT Services with Aggregate Computing
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ELDAMeth: An agent-oriented methodology for simulation-based prototyping of distributed agent systems
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A development approach for collective opportunistic Edge-of-Things services
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Data and knowledge mining with big data towards smart production
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Distributed data stream processing and edge computing: A survey on resource elasticity and future directions
inferredcites →https://doi.org/10.1016/j.procs.2016.09.068openalex-snapshot
Analysis of Eight Data Mining Algorithms for Smarter Internet of Things (IoT)
inferredcites →https://doi.org/10.1016/j.simpat.2019.102042openalex-snapshot
A survey and taxonomy of simulation environments modelling fog computing
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Mining smart card data for transit riders’ travel patterns
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A survey of data mining and knowledge discovery process models and methodologies
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Agriculture internet of things: AG-IoT
inferredcites →https://doi.org/10.1109/cisis.2010.65openalex-snapshot
Job Scheduling in a Distributed System Using Backfilling with Inaccurate Runtime Computations
inferredcites →https://doi.org/10.1109/ets.2013.6569370openalex-snapshot
Approximate computing: An emerging paradigm for energy-efficient design
inferredcites →https://doi.org/10.1109/hpcs48598.2019.9188059openalex-snapshot
PureEdgeSim: A Simulation Toolkit for Performance Evaluation of Cloud, Fog, and Pure Edge Computing Environments
inferredcites →https://doi.org/10.1109/icccn.2019.8846941openalex-snapshot
Data Mining at the IoT Edge
inferredcites →https://doi.org/10.1109/infcomw.2019.8845305openalex-snapshot
IoT Services Deployment over Edge vs Cloud Systems: a Simulation-based Analysis
inferredcites →https://doi.org/10.1109/jiot.2013.2296516openalex-snapshot
An Information Framework for Creating a Smart City Through Internet of Things
inferredcites →https://doi.org/10.1109/jiot.2016.2579198openalex-snapshot
Edge Computing: Vision and Challenges
inferredcites →https://doi.org/10.1109/jiot.2017.2701408openalex-snapshot
QoS-Aware Deployment of IoT Applications Through the Fog
inferredcites →https://doi.org/10.1109/jsen.2013.2266895openalex-snapshot
Edge Mining the Internet of Things
inferredcites →https://doi.org/10.1109/mc.2010.98openalex-snapshot
Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?
inferredcites →https://doi.org/10.1109/mcse.2017.3421541openalex-snapshot
Modeling and Simulating Internet-of-Things Systems: A Hybrid Agent-Oriented Approach
inferredcites →https://doi.org/10.1109/smc.2016.7844820openalex-snapshot
Big IoT data mining for real-time energy disaggregation in buildings
inferredcites →https://doi.org/10.1109/surv.2013.103013.00206openalex-snapshot
Data Mining for Internet of Things: A Survey
inferredcites →https://doi.org/10.1109/tbdata.2017.2731838openalex-snapshot
Event Detection Through Differential Pattern Mining in Cyber-Physical Systems
inferredcites →https://doi.org/10.1109/tsmc.2017.2780618openalex-snapshot
Agent-Oriented Cooperative Smart Objects: From IoT System Design to Implementation
inferredcites →https://doi.org/10.1109/wsc.2017.8248208openalex-snapshot
RECAP simulator: Simulation of cloud/edge/fog computing scenarios
inferredcites →https://doi.org/10.1142/s0218001407005612openalex-snapshot
THE EVOLUTION OF KDD: TOWARDS DOMAIN-DRIVEN DATA MINING
inferredcites →https://doi.org/10.1145/3106426.3115866openalex-snapshot
Data mining in IoT
inferredcites →https://doi.org/10.1145/332833.332838openalex-snapshot
Wireless integrated network sensors
inferredcites →https://doi.org/10.1145/3366614.3368103openalex-snapshot
Tango of edge and cloud execution for reliability
inferredcites →https://doi.org/10.1155/2015/431047openalex-snapshot
Data Mining for the Internet of Things: Literature Review and Challenges
inferredcites →https://doi.org/10.1155/2018/6238607openalex-snapshot
Privacy Issues in Big Data Mining Infrastructure, Platforms, and Applications
inferredcites →https://doi.org/10.11591/ijphs.v1i2.1380openalex-snapshot
Prediction and decision making in Health Care using Data Mining
inferredcites →https://doi.org/10.2991/isca-13.2013.1openalex-snapshot
Data Mining in Cloud Computing
inferredcites →https://doi.org/10.3390/app9122407openalex-snapshot
Data Mining Methodology for Engineering Applications (DMME)—A Holistic Extension to the CRISP-DM Model
inferredcites →https://doi.org/10.4018/ijssoe.2015100102openalex-snapshot
A Scalable Big Stream Cloud Architecture for the Internet of Things
inferredcites →https://doi.org/10.5772/6438openalex-snapshot
A Data Mining & Knowledge Discovery Process Model

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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