Machine Learning: Algorithms, Real-World Applications and Research Directions

In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc. To intelligently analyze these data and develop the corre...

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Bibliographic Details
Published in	SN computer science Vol. 2; no. 3; p. 160
Main Author	Sarker, Iqbal H.
Format	Journal Article
Language	English
Published	Singapore Springer Singapore 01.05.2021 Springer Nature B.V
Subjects	Advances in Computational Approaches for Artificial Intelligence Algorithms Artificial intelligence Automation Computer Imaging Computer Science Computer Systems Organization and Communication Networks COVID-19 Cybersecurity Data analysis Data Structures and Information Theory Datasets Deep learning Image Processing, IoT and Cloud Applications Industrial applications Industry 4.0 Information Systems and Communication Service Internet of Things Machine learning Metadata Pattern Recognition and Graphics Review Review Article Smart cities Smartphones Software Engineering/Programming and Operating Systems Vision Deep learning Data-driven decision-making Intelligent applications Machine learning Data science Artificial intelligence Predictive analytics
Online Access	Get full text
ISSN	2662-995X 2661-8907 2661-8907
DOI	10.1007/s42979-021-00592-x

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Abstract	In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc. To intelligently analyze these data and develop the corresponding smart and automated applications, the knowledge of artificial intelligence (AI), particularly, machine learning (ML) is the key. Various types of machine learning algorithms such as supervised, unsupervised, semi-supervised, and reinforcement learning exist in the area. Besides, the deep learning , which is part of a broader family of machine learning methods, can intelligently analyze the data on a large scale. In this paper, we present a comprehensive view on these machine learning algorithms that can be applied to enhance the intelligence and the capabilities of an application. Thus, this study’s key contribution is explaining the principles of different machine learning techniques and their applicability in various real-world application domains, such as cybersecurity systems, smart cities, healthcare, e-commerce, agriculture, and many more. We also highlight the challenges and potential research directions based on our study. Overall, this paper aims to serve as a reference point for both academia and industry professionals as well as for decision-makers in various real-world situations and application areas, particularly from the technical point of view.
AbstractList	In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc. To intelligently analyze these data and develop the corresponding smart and automated applications, the knowledge of artificial intelligence (AI), particularly, machine learning (ML) is the key. Various types of machine learning algorithms such as supervised, unsupervised, semi-supervised, and reinforcement learning exist in the area. Besides, the deep learning , which is part of a broader family of machine learning methods, can intelligently analyze the data on a large scale. In this paper, we present a comprehensive view on these machine learning algorithms that can be applied to enhance the intelligence and the capabilities of an application. Thus, this study’s key contribution is explaining the principles of different machine learning techniques and their applicability in various real-world application domains, such as cybersecurity systems, smart cities, healthcare, e-commerce, agriculture, and many more. We also highlight the challenges and potential research directions based on our study. Overall, this paper aims to serve as a reference point for both academia and industry professionals as well as for decision-makers in various real-world situations and application areas, particularly from the technical point of view. In the current age of the Fourth Industrial Revolution (4IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc. To intelligently analyze these data and develop the corresponding smart and automated applications, the knowledge of artificial intelligence (AI), particularly, machine learning (ML) is the key. Various types of machine learning algorithms such as supervised, unsupervised, semi-supervised, and reinforcement learning exist in the area. Besides, the deep learning, which is part of a broader family of machine learning methods, can intelligently analyze the data on a large scale. In this paper, we present a comprehensive view on these machine learning algorithms that can be applied to enhance the intelligence and the capabilities of an application. Thus, this study's key contribution is explaining the principles of different machine learning techniques and their applicability in various real-world application domains, such as cybersecurity systems, smart cities, healthcare, e-commerce, agriculture, and many more. We also highlight the challenges and potential research directions based on our study. Overall, this paper aims to serve as a reference point for both academia and industry professionals as well as for decision-makers in various real-world situations and application areas, particularly from the technical point of view.In the current age of the Fourth Industrial Revolution (4IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc. To intelligently analyze these data and develop the corresponding smart and automated applications, the knowledge of artificial intelligence (AI), particularly, machine learning (ML) is the key. Various types of machine learning algorithms such as supervised, unsupervised, semi-supervised, and reinforcement learning exist in the area. Besides, the deep learning, which is part of a broader family of machine learning methods, can intelligently analyze the data on a large scale. In this paper, we present a comprehensive view on these machine learning algorithms that can be applied to enhance the intelligence and the capabilities of an application. Thus, this study's key contribution is explaining the principles of different machine learning techniques and their applicability in various real-world application domains, such as cybersecurity systems, smart cities, healthcare, e-commerce, agriculture, and many more. We also highlight the challenges and potential research directions based on our study. Overall, this paper aims to serve as a reference point for both academia and industry professionals as well as for decision-makers in various real-world situations and application areas, particularly from the technical point of view. In the current age of the Fourth Industrial Revolution (4IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc. To intelligently analyze these data and develop the corresponding smart and automated applications, the knowledge of artificial intelligence (AI), particularly, machine learning (ML) is the key. Various types of machine learning algorithms such as supervised, unsupervised, semi-supervised, and reinforcement learning exist in the area. Besides, the deep learning, which is part of a broader family of machine learning methods, can intelligently analyze the data on a large scale. In this paper, we present a comprehensive view on these machine learning algorithms that can be applied to enhance the intelligence and the capabilities of an application. Thus, this study’s key contribution is explaining the principles of different machine learning techniques and their applicability in various real-world application domains, such as cybersecurity systems, smart cities, healthcare, e-commerce, agriculture, and many more. We also highlight the challenges and potential research directions based on our study. Overall, this paper aims to serve as a reference point for both academia and industry professionals as well as for decision-makers in various real-world situations and application areas, particularly from the technical point of view. In the current age of the Fourth Industrial Revolution (4IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc. To intelligently analyze these data and develop the corresponding smart and automated applications, the knowledge of artificial intelligence (AI), particularly, machine learning (ML) is the key. Various types of machine learning algorithms such as supervised, unsupervised, semi-supervised, and reinforcement learning exist in the area. Besides, the deep learning, which is part of a broader family of machine learning methods, can intelligently analyze the data on a large scale. In this paper, we present a comprehensive view on these machine learning algorithms that can be applied to enhance the intelligence and the capabilities of an application. Thus, this study’s key contribution is explaining the principles of different machine learning techniques and their applicability in various real-world application domains, such as cybersecurity systems, smart cities, healthcare, e-commerce, agriculture, and many more. We also highlight the challenges and potential research directions based on our study. Overall, this paper aims to serve as a reference point for both academia and industry professionals as well as for decision-makers in various real-world situations and application areas, particularly from the technical point of view. In the current age of the Fourth Industrial Revolution (4 or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc. To intelligently analyze these data and develop the corresponding applications, the knowledge of artificial intelligence (AI), particularly, is the key. Various types of machine learning algorithms such as supervised, unsupervised, semi-supervised, and reinforcement learning exist in the area. Besides, the , which is part of a broader family of machine learning methods, can intelligently analyze the data on a large scale. In this paper, we present a comprehensive view on these that can be applied to enhance the intelligence and the capabilities of an application. Thus, this study's key contribution is explaining the principles of different machine learning techniques and their applicability in various real-world domains, such as cybersecurity systems, smart cities, healthcare, e-commerce, agriculture, and many more. We also highlight the challenges and potential based on our study. Overall, this paper aims to serve as a reference point for both academia and industry professionals as well as for decision-makers in various real-world situations and application areas, particularly from the technical point of view.
ArticleNumber	160
Author	Sarker, Iqbal H.
Author_xml	– sequence: 1 givenname: Iqbal H. orcidid: 0000-0003-1740-5517 surname: Sarker fullname: Sarker, Iqbal H. email: msarker@swin.edu.au organization: Swinburne University of Technology, Department of Computer Science and Engineering, Chittagong University of Engineering & Technology
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/33778771$$D View this record in MEDLINE/PubMed
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Cites_doi	10.1016/j.comnet.2020.107530 10.1099/00221287-17-1-201 10.1016/j.iatssr.2019.11.008 10.1023/A:1010933404324 10.1016/j.compchemeng.2017.06.011 10.1109/ACCESS.2018.2884249 10.1109/BIGCOMP.2019.8679231 10.1109/CINTI.2012.6496753 10.1023/A:1007656703224 10.1023/A:1022631118932 10.1007/s11036-020-01650-z 10.1142/S2424862220500268 10.1145/2968219.2971592 10.1016/j.jretai.2020.01.001 10.3233/IDA-2005-9405 10.1186/s40537-020-00328-3 10.1007/s11036-019-01443-z 10.1016/S0734-189X(87)80014-2 10.1109/CVPR.2016.90 10.1186/s40537-016-0043-6 10.1145/335191.335372 10.1080/14786440109462720 10.17512/pjms.2018.17.1.19 10.1145/2019583.2019588 10.1007/978-0-387-09823-4_14 10.3390/sym12040499 10.1109/69.846291 10.1613/jair.301 10.1016/j.ijmedinf.2016.09.014 10.1038/s41467-020-17971-2 10.1145/2632048.2632052 10.1145/502585.502665 10.1016/j.future.2019.05.041 10.1007/s10462-017-9552-8 10.1016/j.jnca.2020.102762 10.3390/machines6030038 10.1016/j.psep.2018.05.009 10.3390/sym12050754 10.1007/s11280-020-00800-3 10.1109/ICASSP.2018.8462105 10.1037/h0071325 10.1007/s10489-016-0785-z 10.1016/j.chaos.2020.110059 10.1007/s10115-007-0114-2 10.1109/MilCIS.2015.7348942 10.1007/s00779-005-0046-3 10.1016/j.dcan.2017.10.002 10.1201/9781315371658 10.3390/a13100249 10.1162/neco.1997.9.7.1545 10.1016/j.iot.2019.01.007 10.1145/276304.276314 10.1109/TNNLS.2020.2979670 10.1109/ITIA50152.2020.9312251 10.1109/MIS.2017.49 10.1109/CVPR.2017.195 10.1145/2396761.2398484 10.1145/304181.304187 10.1186/s40537-020-00392-9 10.1109/TPAMI.2015.2389824 10.1109/ICDE.1995.380413 10.3390/s18041212 10.1109/5.726791 10.1007/BF00116251 10.1007/978-3-319-60366-7_23 10.1016/j.cor.2020.104926 10.1016/j.ijpe.2019.05.022 10.1038/nature16961 10.1016/j.iot.2019.100106 10.1145/3451964.3451966 10.1108/WJSTSD-11-2016-0062 10.20944/preprints202101.0457.v1 10.1186/s40537-020-00318-5 10.1007/BF00153759 10.1007/s007790170019 10.1007/s10489-020-01770-9 10.1016/j.eswa.2015.04.006 10.1109/ACCESS.2019.2925828 10.1186/s40537-019-0258-4 10.20944/preprints202102.0340.v1 10.1016/j.eswa.2008.01.039 10.1145/1105664.1105679 10.1007/11564126_29 10.1109/ISSNIP.2015.7106902 10.1109/ICCUBEA.2018.8697476 10.1007/s10846-017-0468-y 10.1007/978-1-4615-5725-8 10.1016/j.knosys.2015.06.015 10.1007/978-3-642-17758-3_16 10.1109/5.58325 10.1007/s40745-015-0040-1 10.1109/ACCESS.2020.3001973 10.1016/j.chaos.2020.110120 10.1162/089976601300014493 10.1186/s40537-019-0219-y 10.1109/JIOT.2014.2306328 10.1145/2971648.2971747 10.1109/TIT.1975.1055330 10.1109/ACCESS.2018.2836950 10.1109/CVPR.2015.7298594 10.1145/170036.170072 10.1007/978-3-642-35289-8_32 10.1109/TMI.2020.2993291 10.1007/BF00058655
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References	A McCallum (592_CR72) 2005; 3 M Ankerst (592_CR12) 1999; 28 IH Sarker (592_CR99) 2020; 7 592_CR26 592_CR27 592_CR24 592_CR23 592_CR31 W Wang (592_CR122) 1997; 97 592_CR30 IH Sarker (592_CR102) 2018; 61 Y Anzai (592_CR13) 2012 L Breiman (592_CR20) 1984 SS Keerthi (592_CR56) 2001; 13 IH Sarker (592_CR97) 2020; 12 592_CR8 592_CR3 592_CR39 592_CR2 592_CR1 592_CR135 592_CR7 592_CR35 592_CR136 592_CR6 592_CR5 592_CR138 592_CR4 592_CR139 592_CR42 K Weiss (592_CR124) 2016; 3 K He (592_CR44) 2015; 37 C Rasmussen (592_CR89) 1999; 12 I Goodfellow (592_CR38) 2016 S Safdar (592_CR92) 2018; 50 IH Sarker (592_CR98) 2020; 12 M Jamshidi (592_CR50) 2020; 8 X Wu (592_CR128) 2008; 14 L Cao (592_CR21) 2017; 50 D Xu (592_CR130) 2015; 2 F Balducci (592_CR16) 2018; 6 S LeCessie (592_CR64) 1992; 41 ML Puterman (592_CR86) 2014 592_CR49 592_CR46 592_CR45 592_CR53 592_CR51 L Breiman (592_CR18) 1996; 24 C Shorten (592_CR111) 2021; 8 MJ Zaki (592_CR131) 2000; 12 SS Kamble (592_CR54) 2020; 219 IH Sarker (592_CR106) 2019; 6 K Fukunaga (592_CR37) 1975; 21 M Ester (592_CR32) 1996; 96 H Zhu (592_CR137) 2014; 5 Y LeCun (592_CR65) 1998; 86 592_CR57 N Eagle (592_CR29) 2006; 10 C-C Wu (592_CR127) 2016; 45 592_CR63 592_CR60 AS Polydoros (592_CR85) 2017; 86 592_CR61 M Nilashi (592_CR77) 2017; 106 IH Sarker (592_CR94) 2019; 5 K Wagstaff (592_CR121) 2001; 1 H Fujiyoshi (592_CR36) 2019; 43 A Zanella (592_CR132) 2014; 1 N Koroniotis (592_CR59) 2019; 100 592_CR107 H Cobuloglu (592_CR25) 2015; 42 592_CR109 LP Kaelbling (592_CR52) 1996; 4 J Han (592_CR41) 2011 592_CR100 592_CR101 Q Zhao (592_CR133) 2003 592_CR68 592_CR103 592_CR69 592_CR104 592_CR66 592_CR67 592_CR76 592_CR73 Pearson K Liii (592_CR81) 1901; 2 H-S Park (592_CR80) 2009; 36 F Pedregosa (592_CR82) 2011; 12 DW Aha (592_CR9) 1991; 6 L Breiman (592_CR19) 2001; 45 IH Sarker (592_CR105) 2020; 7 Y Amit (592_CR11) 1997; 9 T Zheng (592_CR134) 2017; 97 592_CR79 K Ravi (592_CR90) 2015; 89 592_CR84 S Zulkernain (592_CR140) 2010; 16 Tavallaee M, Bagheri E, Lu W, Ghorbani AA. A detailed analysis of the kdd cup 99 data set. In (592_CR119) 2009; 2009 AK Dey (592_CR28) 2001; 5 Y Mohamadou (592_CR74) 2020; 50 L Kaufman (592_CR55) 2009 M Mohammed (592_CR75) 2016 P Wei (592_CR123) 2019; 7 SF Ardabili (592_CR14) 2020; 13 592_CR125 J Guerrero-Ibáñez (592_CR40) 2018; 18 SA Harmon (592_CR43) 2020; 11 592_CR126 592_CR88 592_CR10 592_CR95 592_CR96 592_CR91 592_CR120 IH Sarker (592_CR93) 2019; 6 T Scheffer (592_CR108) 2005; 9 PA Flach (592_CR34) 2001; 42 MS Mahdavinejad (592_CR70) 2018; 4 A Marchand (592_CR71) 2020; 96 592_CR118 Y Xin (592_CR129) 2018; 6 592_CR17 RC Holte (592_CR47) 1993; 11 H Hotelling (592_CR48) 1933; 24 592_CR110 592_CR15 592_CR112 592_CR113 592_CR114 592_CR115 592_CR116 592_CR117 S Perveen (592_CR83) 2018; 7 M Fatima (592_CR33) 2017; 9 JR Quinlan (592_CR87) 1986; 1 P Lade (592_CR62) 2017; 32 O Yujin (592_CR78) 2020; 39 T Kohonen (592_CR58) 1990; 78 GA Carpenter (592_CR22) 1987; 37
References_xml	– ident: 592_CR17 doi: 10.1016/j.comnet.2020.107530 – ident: 592_CR115 doi: 10.1099/00221287-17-1-201 – volume: 43 start-page: 244 issue: 4 year: 2019 ident: 592_CR36 publication-title: IATSS Res. doi: 10.1016/j.iatssr.2019.11.008 – volume: 45 start-page: 5 issue: 1 year: 2001 ident: 592_CR19 publication-title: Mach Learn. doi: 10.1023/A:1010933404324 – volume: 106 start-page: 212 year: 2017 ident: 592_CR77 publication-title: Comput Chem Eng. doi: 10.1016/j.compchemeng.2017.06.011 – volume: 7 start-page: 1365 year: 2018 ident: 592_CR83 publication-title: IEEE Access. doi: 10.1109/ACCESS.2018.2884249 – ident: 592_CR30 doi: 10.1109/BIGCOMP.2019.8679231 – volume: 97 start-page: 186 year: 1997 ident: 592_CR122 publication-title: VLDB. – ident: 592_CR27 doi: 10.1109/CINTI.2012.6496753 – volume: 42 start-page: 61 issue: 1–2 year: 2001 ident: 592_CR34 publication-title: Mach Learn. doi: 10.1023/A:1007656703224 – volume: 16 start-page: 2060 issue: 15 year: 2010 ident: 592_CR140 publication-title: J UCS. – volume: 9 start-page: 1 issue: 01 year: 2017 ident: 592_CR33 publication-title: J Intell Learn Syst Appl. – volume: 11 start-page: 63 issue: 1 year: 1993 ident: 592_CR47 publication-title: Mach Learn. doi: 10.1023/A:1022631118932 – volume: 61 start-page: 349 issue: 3 year: 2018 ident: 592_CR102 publication-title: Comput J Oxf Univ UK – ident: 592_CR103 doi: 10.1007/s11036-020-01650-z – ident: 592_CR61 doi: 10.1142/S2424862220500268 – ident: 592_CR101 doi: 10.1145/2968219.2971592 – volume: 96 start-page: 328 issue: 3 year: 2020 ident: 592_CR71 publication-title: J Retail. doi: 10.1016/j.jretai.2020.01.001 – volume: 9 start-page: 381 issue: 4 year: 2005 ident: 592_CR108 publication-title: Intell Data Anal. doi: 10.3233/IDA-2005-9405 – volume: 7 start-page: 1 issue: 1 year: 2020 ident: 592_CR99 publication-title: J Big Data. doi: 10.1186/s40537-020-00328-3 – ident: 592_CR3 – ident: 592_CR125 – ident: 592_CR100 doi: 10.1007/s11036-019-01443-z – volume: 37 start-page: 54 issue: 1 year: 1987 ident: 592_CR22 publication-title: Comput Vis Graph Image Process. doi: 10.1016/S0734-189X(87)80014-2 – ident: 592_CR45 doi: 10.1109/CVPR.2016.90 – volume: 3 start-page: 9 issue: 1 year: 2016 ident: 592_CR124 publication-title: J Big data. doi: 10.1186/s40537-016-0043-6 – ident: 592_CR88 – ident: 592_CR42 doi: 10.1145/335191.335372 – volume: 2 start-page: 559 issue: 11 year: 1901 ident: 592_CR81 publication-title: Lond Edinb Dublin Philos Mag J Sci. doi: 10.1080/14786440109462720 – ident: 592_CR114 doi: 10.17512/pjms.2018.17.1.19 – ident: 592_CR15 – ident: 592_CR84 doi: 10.1145/2019583.2019588 – ident: 592_CR91 doi: 10.1007/978-0-387-09823-4_14 – volume-title: Pattern recognition and machine learning year: 2012 ident: 592_CR13 – volume: 12 start-page: 499 issue: 4 year: 2020 ident: 592_CR98 publication-title: Symmetry. doi: 10.3390/sym12040499 – volume: 12 start-page: 372 issue: 3 year: 2000 ident: 592_CR131 publication-title: IEEE Trans Knowl Data Eng. doi: 10.1109/69.846291 – volume: 4 start-page: 237 year: 1996 ident: 592_CR52 publication-title: J Artif Intell Res. doi: 10.1613/jair.301 – volume: 97 start-page: 120 year: 2017 ident: 592_CR134 publication-title: Int J Med Inform. doi: 10.1016/j.ijmedinf.2016.09.014 – volume: 11 start-page: 1 issue: 1 year: 2020 ident: 592_CR43 publication-title: Nat Commun doi: 10.1038/s41467-020-17971-2 – ident: 592_CR117 doi: 10.1145/2632048.2632052 – ident: 592_CR26 doi: 10.1145/502585.502665 – volume: 100 start-page: 779 year: 2019 ident: 592_CR59 publication-title: Fut Gen Comput Syst. doi: 10.1016/j.future.2019.05.041 – ident: 592_CR39 – volume: 50 start-page: 597 issue: 4 year: 2018 ident: 592_CR92 publication-title: Artif Intell Rev. doi: 10.1007/s10462-017-9552-8 – ident: 592_CR104 doi: 10.1016/j.jnca.2020.102762 – volume: 6 start-page: 38 issue: 3 year: 2018 ident: 592_CR16 publication-title: Machines. doi: 10.3390/machines6030038 – ident: 592_CR53 doi: 10.1016/j.psep.2018.05.009 – ident: 592_CR68 – volume: 12 start-page: 754 issue: 5 year: 2020 ident: 592_CR97 publication-title: Symmetry. doi: 10.3390/sym12050754 – ident: 592_CR51 – ident: 592_CR31 doi: 10.1007/s11280-020-00800-3 – ident: 592_CR23 doi: 10.1109/ICASSP.2018.8462105 – volume-title: Data mining: concepts and techniques year: 2011 ident: 592_CR41 – volume: 24 start-page: 417 issue: 6 year: 1933 ident: 592_CR48 publication-title: J Edu Psychol doi: 10.1037/h0071325 – volume: 45 start-page: 673 issue: 3 year: 2016 ident: 592_CR127 publication-title: Appl Intell. doi: 10.1007/s10489-016-0785-z – ident: 592_CR63 doi: 10.1016/j.chaos.2020.110059 – volume: 14 start-page: 1 issue: 1 year: 2008 ident: 592_CR128 publication-title: Knowl Inform Syst. doi: 10.1007/s10115-007-0114-2 – ident: 592_CR1 – volume: 5 start-page: 58 issue: 4 year: 2014 ident: 592_CR137 publication-title: ACM Trans Intell Syst Technol (TIST). – ident: 592_CR76 doi: 10.1109/MilCIS.2015.7348942 – volume: 10 start-page: 255 issue: 4 year: 2006 ident: 592_CR29 publication-title: Person Ubiquit Comput. doi: 10.1007/s00779-005-0046-3 – ident: 592_CR60 – volume: 4 start-page: 161 issue: 3 year: 2018 ident: 592_CR70 publication-title: Digit Commun Netw. doi: 10.1016/j.dcan.2017.10.002 – volume-title: Machine learning: algorithms and applications year: 2016 ident: 592_CR75 doi: 10.1201/9781315371658 – volume: 96 start-page: 226 year: 1996 ident: 592_CR32 publication-title: Kdd. – volume: 13 start-page: 249 issue: 10 year: 2020 ident: 592_CR14 publication-title: Algorithms. doi: 10.3390/a13100249 – volume: 9 start-page: 1545 issue: 7 year: 1997 ident: 592_CR11 publication-title: Neural Comput. doi: 10.1162/neco.1997.9.7.1545 – volume: 5 start-page: 180 year: 2019 ident: 592_CR94 publication-title: Internet Things. doi: 10.1016/j.iot.2019.01.007 – ident: 592_CR112 – volume-title: Association rule mining: a survey year: 2003 ident: 592_CR133 – ident: 592_CR6 doi: 10.1145/276304.276314 – ident: 592_CR79 doi: 10.1109/TNNLS.2020.2979670 – ident: 592_CR138 doi: 10.1109/ITIA50152.2020.9312251 – volume: 32 start-page: 74 issue: 3 year: 2017 ident: 592_CR62 publication-title: IEEE Intell Syst. doi: 10.1109/MIS.2017.49 – ident: 592_CR126 – ident: 592_CR24 doi: 10.1109/CVPR.2017.195 – ident: 592_CR136 doi: 10.1145/2396761.2398484 – volume: 28 start-page: 49 issue: 2 year: 1999 ident: 592_CR12 publication-title: ACM Sigmod Record. doi: 10.1145/304181.304187 – volume: 8 start-page: 1 issue: 1 year: 2021 ident: 592_CR111 publication-title: J Big Data. doi: 10.1186/s40537-020-00392-9 – volume: 37 start-page: 1904 issue: 9 year: 2015 ident: 592_CR44 publication-title: IEEE Trans Pattern Anal Mach Intell. doi: 10.1109/TPAMI.2015.2389824 – ident: 592_CR49 doi: 10.1109/ICDE.1995.380413 – volume: 18 start-page: 1212 issue: 4 year: 2018 ident: 592_CR40 publication-title: Sensors. doi: 10.3390/s18041212 – volume: 86 start-page: 2278 issue: 11 year: 1998 ident: 592_CR65 publication-title: Proc IEEE. doi: 10.1109/5.726791 – volume: 1 start-page: 81 year: 1986 ident: 592_CR87 publication-title: Mach Learn. doi: 10.1007/BF00116251 – ident: 592_CR67 doi: 10.1007/978-3-319-60366-7_23 – ident: 592_CR109 doi: 10.1016/j.cor.2020.104926 – volume: 219 start-page: 179 year: 2020 ident: 592_CR54 publication-title: Int J Prod Econ. doi: 10.1016/j.ijpe.2019.05.022 – ident: 592_CR113 doi: 10.1038/nature16961 – volume: 41 start-page: 191 issue: 1 year: 1992 ident: 592_CR64 publication-title: J R Stat Soc Ser C (Appl Stat). – ident: 592_CR107 doi: 10.1016/j.iot.2019.100106 – ident: 592_CR120 doi: 10.1145/3451964.3451966 – ident: 592_CR5 doi: 10.1108/WJSTSD-11-2016-0062 – ident: 592_CR95 doi: 10.20944/preprints202101.0457.v1 – volume: 7 start-page: 1 issue: 1 year: 2020 ident: 592_CR105 publication-title: J Big Data. doi: 10.1186/s40537-020-00318-5 – volume: 6 start-page: 37 issue: 1 year: 1991 ident: 592_CR9 publication-title: Mach Learn. doi: 10.1007/BF00153759 – volume: 5 start-page: 4 issue: 1 year: 2001 ident: 592_CR28 publication-title: Person Ubiquit Comput. doi: 10.1007/s007790170019 – volume: 50 start-page: 3913 issue: 11 year: 2020 ident: 592_CR74 publication-title: Appl Intell. doi: 10.1007/s10489-020-01770-9 – ident: 592_CR4 – volume: 42 start-page: 6065 issue: 15–16 year: 2015 ident: 592_CR25 publication-title: Expert Syst Appl. doi: 10.1016/j.eswa.2015.04.006 – volume: 7 start-page: 87593 year: 2019 ident: 592_CR123 publication-title: IEEE Access. doi: 10.1109/ACCESS.2019.2925828 – volume-title: Deep learning year: 2016 ident: 592_CR38 – volume: 2009 start-page: 1 year: 2009 ident: 592_CR119 publication-title: IEEE – volume: 6 start-page: 1 issue: 1 year: 2019 ident: 592_CR93 publication-title: J Big Data. doi: 10.1186/s40537-019-0258-4 – volume-title: Classification and regression trees year: 1984 ident: 592_CR20 – volume: 12 start-page: 2825 year: 2011 ident: 592_CR82 publication-title: J Mach Learn Res. – ident: 592_CR96 doi: 10.20944/preprints202102.0340.v1 – volume: 36 start-page: 3336 issue: 2 year: 2009 ident: 592_CR80 publication-title: Expert Syst Appl. doi: 10.1016/j.eswa.2008.01.039 – volume: 3 start-page: 48 issue: 9 year: 2005 ident: 592_CR72 publication-title: Queue. doi: 10.1145/1105664.1105679 – volume: 50 start-page: 43 issue: 3 year: 2017 ident: 592_CR21 publication-title: ACM Comput Surv (CSUR). – ident: 592_CR110 doi: 10.1007/11564126_29 – ident: 592_CR135 doi: 10.1109/ISSNIP.2015.7106902 – volume: 1 start-page: 577 year: 2001 ident: 592_CR121 publication-title: Icml. – ident: 592_CR35 – ident: 592_CR8 – ident: 592_CR57 doi: 10.1109/ICCUBEA.2018.8697476 – volume: 86 start-page: 153 issue: 2 year: 2017 ident: 592_CR85 publication-title: J Intell Robot Syst. doi: 10.1007/s10846-017-0468-y – ident: 592_CR66 doi: 10.1007/978-1-4615-5725-8 – volume: 89 start-page: 14 year: 2015 ident: 592_CR90 publication-title: Knowl Syst. doi: 10.1016/j.knosys.2015.06.015 – ident: 592_CR139 doi: 10.1007/978-3-642-17758-3_16 – volume: 78 start-page: 1464 issue: 9 year: 1990 ident: 592_CR58 publication-title: Proc IEEE. doi: 10.1109/5.58325 – ident: 592_CR116 – volume: 2 start-page: 165 issue: 2 year: 2015 ident: 592_CR130 publication-title: Ann Data Sci. doi: 10.1007/s40745-015-0040-1 – volume: 8 start-page: 109581 year: 2020 ident: 592_CR50 publication-title: IEEE Access. doi: 10.1109/ACCESS.2020.3001973 – ident: 592_CR10 doi: 10.1016/j.chaos.2020.110120 – volume: 13 start-page: 637 issue: 3 year: 2001 ident: 592_CR56 publication-title: Neural Comput doi: 10.1162/089976601300014493 – volume: 6 start-page: 1 issue: 1 year: 2019 ident: 592_CR106 publication-title: J Big Data. doi: 10.1186/s40537-019-0219-y – volume: 1 start-page: 22 issue: 1 year: 2014 ident: 592_CR132 publication-title: IEEE Internet Things J. doi: 10.1109/JIOT.2014.2306328 – volume-title: Finding groups in data: an introduction to cluster analysis year: 2009 ident: 592_CR55 – ident: 592_CR73 doi: 10.1145/2971648.2971747 – volume: 21 start-page: 32 issue: 1 year: 1975 ident: 592_CR37 publication-title: IEEE Trans Inform Theory doi: 10.1109/TIT.1975.1055330 – ident: 592_CR69 – volume-title: Markov decision processes: discrete stochastic dynamic programming year: 2014 ident: 592_CR86 – volume: 6 start-page: 35365 year: 2018 ident: 592_CR129 publication-title: IEEE Access. doi: 10.1109/ACCESS.2018.2836950 – volume: 12 start-page: 554 year: 1999 ident: 592_CR89 publication-title: Adv Neural Inform Process Syst. – ident: 592_CR118 doi: 10.1109/CVPR.2015.7298594 – ident: 592_CR7 doi: 10.1145/170036.170072 – ident: 592_CR46 doi: 10.1007/978-3-642-35289-8_32 – volume: 39 start-page: 2688 issue: 8 year: 2020 ident: 592_CR78 publication-title: IEEE Trans Med Imaging. doi: 10.1109/TMI.2020.2993291 – volume: 24 start-page: 123 issue: 2 year: 1996 ident: 592_CR18 publication-title: Mach Learn. doi: 10.1007/BF00058655 – ident: 592_CR2
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Snippet	In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data,... In the current age of the Fourth Industrial Revolution (4 or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data,... In the current age of the Fourth Industrial Revolution (4IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data,...
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SubjectTerms	Advances in Computational Approaches for Artificial Intelligence Algorithms Artificial intelligence Automation Computer Imaging Computer Science Computer Systems Organization and Communication Networks COVID-19 Cybersecurity Data analysis Data Structures and Information Theory Datasets Deep learning Image Processing, IoT and Cloud Applications Industrial applications Industry 4.0 Information Systems and Communication Service Internet of Things Machine learning Metadata Pattern Recognition and Graphics Review Review Article Smart cities Smartphones Software Engineering/Programming and Operating Systems Vision
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