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Machine learning based distributed big data analysis framework for next generation web in IoT

Sushil Singh, Jeonghun Cha, Tae Kim, Jong Park
2021 Computer Science and Information Systems  
This paper introduces a Machine Learning Based Distributed Big Data Analysis Framework for Next Generation Web in IoT.  ...  Extreme Learning Machine (ELM) is adopting in the cloud layer for classification and big data analysis in IoT.  ...  learning-based distributed big data analysis framework for the next-generation web in IoT.  ... 
doi:10.2298/csis200330012s fatcat:tvegy3ebdvczbaqnun5bmrqjry

Review of the Complexity of Managing Big Data of the Internet of Things

David Gil, Magnus Johnsson, Higinio Mora, Julian Szymański
2019 Complexity  
The most novel technologies in machine learning, deep learning, and data mining on Big Data are discussed as well.  ...  There is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing field of the Internet of Things (IoT).  ...  Acknowledgments The authors acknowledge the support from the research center Internet of Things and People (IOTAP) at Malmö University in Sweden.  ... 
doi:10.1155/2019/4592902 fatcat:ltxfdzaqvnfq7ajyj3nufm65re

Towards the 5th Industrial Revolution: A literature review and a framework for Process Optimization Based on Big Data Analytics and Semantics

Dimitris Mourtzis
2021 Journal of Machine Engineering  
The focus should be pivoted on designing and developing suitable frameworks for integrating Big Data to process optimization based on the context of information gathered from the shopfloor.  ...  The digitalization of modern manufacturing systems has resulted to increasing data generation, also known as Big Data.  ...  Finally, the framework describes three types of analysis: data analysis (data mining, machine learning, and statistic analysis methods), and statistical analysis methods.  ... 
doi:10.36897/jme/141834 fatcat:tsp4zeziebg5hcxwguwx6dgsgi

A Cognitive Adopted Framework for IoT Big-Data Management and Knowledge Discovery Prospective

Nilamadhab Mishra, Chung-Chih Lin, Hsien-Tsung Chang
2015 International Journal of Distributed Sensor Networks  
The discussion and analysis show that the proposed framework and architectures create a reasonable solution in implementing IoT big-data based smart industrial applications.  ...  So in this work, we need to propose a Cognitive Oriented IoT Big-data Framework (COIB-framework) along with implementation architecture, IoT big-data layering architecture, and data organization and knowledge  ...  The industrial internet integrates the various diversified technology like machine to machine communication, machine learning, IoT, big-data, cloud, and computational intelligence for industrial automation  ... 
doi:10.1155/2015/718390 fatcat:oeid2kxj3ranhm6l6fvkos4qum

Metadata management in a big data infrastructure

Roxana-Maria Holom, Katharina Rafetseder, Stefanie Kritzinger, Harald Sehrschön
2020 Procedia Manufacturing  
This paper describes an approach for metadata representation and management in a big data environment, based on a real Abstract The adoption of the Internet of Things (IoT) in industry provides the opportunity  ...  Closing this loop leads to the next evolutionary step in the engineering methodologies like model based engineering and model based systems engineering.  ...  Acknowledgements The work described in this paper is supported by the BOOST 4.0 project, which has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement  ... 
doi:10.1016/j.promfg.2020.02.060 fatcat:x4h47rc62ncv3axrorvmxw2oai

Applying Big Data Processing and Machine Learning Methods for Mobile Internet of Things Security Monitoring

Igor V. Kotenko, Igor Saenko, Alexander Branitskiy
2018 Journal of Internet Services and Information Security  
The paper offers a new approach to Big Data processing for security monitoring of mobile Internet of things elements based on machine learning and its implementation using parallel algorithms.  ...  It specifies several machine learning mechanisms intended for solving classification tasks. The classifier operation results are exposed to plurality voting, weight voting and soft voting.  ...  Combining of opportunities of Big Data and machine learning frameworks is considered as a rather perspective direction of solving the online analysis problem for data about mobile IoT security.  ... 
doi:10.22667/jisis.2018.08.31.054 dblp:journals/jisis/KotenkoSB18 fatcat:shunvfpjwfhwjospxo2wtpdz3u

Big Data in IoT Systems [article]

Fayeem Aziz, Stephan K. Chalup, James Juniper
2019 arXiv   pre-print
Big Data in IoT is a large and fast-developing area where many different methods and techniques can play a role.  ...  Due to rapid progress in Machine Learning and new hardware developments, a dynamic turnaround of methods and technologies can be observed.  ...  SC addressed some aspects of machine learning and data analytics. JJ contributed theoretical and philosophical aspects.  ... 
arXiv:1905.00490v1 fatcat:24xkj2vw5jamjj3wgv6hdfar3a

Using Semantic Modelling to Improve the Processing Efficiency of Big Data in the Internet of Things Domain

A. Gladun, Y. Rogushina, A. Andrushevich
2019 Kibernetika i vyčislitelʹnaâ tehnika  
In this article we look at the features of Big Data generated by the Internet of Things (IoT) technology, and also present the methodology for processing this Big Data with use of semantic modeling (ontologies  ...  Machine learning is used as an instrument for Big Data of analyzes: it provides logical inference of the rules that can be applied to processing of information generated by Smart Home system.  ...  BIG DATA AND MACHINE LEARNING IN IOT We propose to use machine learning (ML) algorithms to acquire the semantics of Big Data generated by IoT devices.  ... 
doi:10.15407/kvt196.02.027 fatcat:b3yzwnp2prbjlnqm4ll33kuxxq

Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review

Eklas Hossain, Imtiaj Khan, Fuad Un-Noor, Sarder Shazali Sikander, Md. Samiul Haque Sunny
2019 IEEE Access  
This paper conducts a comprehensive study on the application of big data and machine learning in the electrical power grid introduced through the emergence of the next-generation power system-the smart  ...  Big data analysis and machine learning techniques are essential to reaping these benefits.  ...  INDEX TERMS Big data analysis, cyber security, IoT, machine learning, smart grid.  ... 
doi:10.1109/access.2019.2894819 fatcat:2525icn33resjpigdjk45svyq4

Machine Learning for the Internet of Things Security: A Systematic Review

Darko Andročec, Neven Vrček
2018 Proceedings of the 13th International Conference on Software Technologies  
In this paper, we systematically review the state-of-the art to classify the research on machine learning for the IoT security.  ...  Next, we have extracted all machine learning algorithms and techniques described in primary studies, and identified the most used ones to tackle IoT security issues.  ...  The dominant method nowadays to deal with Big Data is a machine learning.  ... 
doi:10.5220/0006841205970604 dblp:conf/icsoft/AndrocecV18 fatcat:yxqg6ckm2bbd7nunghr3odvg7y

A SURVEY ON NEW APPROACHES OF INTERNET OF THINGS DATA MINING

Sallauddin Mohmmad
2017 International Journal of Advanced Research in Computer Science  
IoT data mining in learning view , method view and application view along with grouping, bunching, time management and exception analysis.  ...  Configuring an IoT middleware layer and retrieving data is a big challenge for data consumers .In this paper, we survey on how IoT data can be produce and in such away automated knowledge discovery from  ...  Real Time Streaming Analysis Architecture 3 . 4 . 34 Recommended System Architecture for IoT . we recommend the framework design for IoT and massive data mining framework. in this framework architecture  ... 
doi:10.26483/ijarcs.v8i8.4849 fatcat:ojpxgnxrtjbzlhnqkzmlvlwu6y

Editorial: Cognitive Industrial Internet of Things

Long Hu, Daxin Tian, Kai Lin
2018 Journal on spesial topics in mobile networks and applications  
never be discovered in time to be useful if the departmental silos do not collaboration in data sensing and analysis.  ...  It is the integration of this data that enables cognitive computing applications for Industrial IoT of the next decade.  ...  Acknowledgements The guest editors are thankful to our reviewers for their effort in reviewing the manuscripts. We also thank the Edit-in-Chief, Dr.  ... 
doi:10.1007/s11036-018-1115-y fatcat:nimwoztjbrdnznauphzjd7r23m

Semantic Intelligence in Big Data Applications [article]

Valentina Janev
2021 arXiv   pre-print
This Chapter aims at demystifying semantic intelligence in distributed, enterprise and web-based information systems.  ...  To leverage the potential of real data and build smart applications on top of sensory data, IoT-based systems integrate domain knowledge and context-relevant information.  ...  Acknowledgment The research presented in this paper is partly financed by the European Union (H2020 PLATOON, Pr. No: 872592; H2020 LAMBDA, Pr.  ... 
arXiv:2107.03853v1 fatcat:5odmdvcfd5ewrnfao5tyexpf2q

A Study of Big Data Analytics in Clouds with a Security Perspective

M. Bhanu Sridhar, A. Koushik
2016 International Journal of Engineering Research and  
At this juncture, it has to be realized that Big Data in Cloud is not only for storage but also for analyzing.  ...  Big Data is a sparkling topic with plenty of scope for research. With the advent of social media, the data has started to cross the limits of a system, server and even a data center.  ...  distributed datasets) transformations on these data sets.  Machine Learning Library It is distributed machine learning framework which runs as fast as Hadoop disk based version of Apache Mahout  GraphX  ... 
doi:10.17577/ijertv6is010010 fatcat:qxwir2s7yfczjpind6t5bot2tu

Search Engine for the Internet of Things: Lessons from Web Search, Vision, and Opportunities

Fan Liang, Cheng Qian, William Grant Hatcher, Wei Yu
2019 IEEE Access  
In this paper, we first summarize popular web search techniques and survey existing research on the search and analysis related to the IoT.  ...  Thus, how to search for and through specific IoT datasets among the enormous amount of data become critical issues for potential data consumers.  ...  For instance, we could leverage on-line machine learning to reduce the training time for machine learning models utilized in IoT search systems [96] , and could apply distributed learning strategies (  ... 
doi:10.1109/access.2019.2931659 fatcat:ml54xvmlcbfv5bilrlkshjcita
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