Semi-supervised online structure learning for composite event recognition

Online structure learning approaches, such as those stemming from statistical relational learning, enable the discovery of complex relations in noisy data streams. However, these methods assume the existence of fully-labelled training data, which is unrealistic for most real-world applications. We p...

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Vydáno v:	Machine learning Ročník 108; číslo 7; s. 1085 - 1110
Hlavní autoři:	Michelioudakis, Evangelos, Artikis, Alexander, Paliouras, Georgios
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.07.2019 Springer Nature B.V
Témata:	Artificial Intelligence Caching Computer Science Control Data transmission Distance learning Human activity recognition Labels Mechatronics Natural Language Processing (NLP) Optimization Robotics Simulation and Modeling Special Issue of the Inductive Logic Programming (ILP) 2017-2018 Graph-cut minimisation First-order logic distance Event recognition Semi-supervised learning Event Calculus Online structure learning
ISSN:	0885-6125, 1573-0565
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Abstract	Online structure learning approaches, such as those stemming from statistical relational learning, enable the discovery of complex relations in noisy data streams. However, these methods assume the existence of fully-labelled training data, which is unrealistic for most real-world applications. We present a novel approach for completing the supervision of a semi-supervised structure learning task. We incorporate graph-cut minimisation, a technique that derives labels for unlabelled data, based on their distance to their labelled counterparts. In order to adapt graph-cut minimisation to first order logic, we employ a suitable structural distance for measuring the distance between sets of logical atoms. The labelling process is achieved online (single-pass) by means of a caching mechanism and the Hoeffding bound, a statistical tool to approximate globally-optimal decisions from locally-optimal ones. We evaluate our approach on the task of composite event recognition by using a benchmark dataset for human activity recognition, as well as a real dataset for maritime monitoring. The evaluation suggests that our approach can effectively complete the missing labels and eventually, improve the accuracy of the underlying structure learning system.
AbstractList	Online structure learning approaches, such as those stemming from statistical relational learning, enable the discovery of complex relations in noisy data streams. However, these methods assume the existence of fully-labelled training data, which is unrealistic for most real-world applications. We present a novel approach for completing the supervision of a semi-supervised structure learning task. We incorporate graph-cut minimisation, a technique that derives labels for unlabelled data, based on their distance to their labelled counterparts. In order to adapt graph-cut minimisation to first order logic, we employ a suitable structural distance for measuring the distance between sets of logical atoms. The labelling process is achieved online (single-pass) by means of a caching mechanism and the Hoeffding bound, a statistical tool to approximate globally-optimal decisions from locally-optimal ones. We evaluate our approach on the task of composite event recognition by using a benchmark dataset for human activity recognition, as well as a real dataset for maritime monitoring. The evaluation suggests that our approach can effectively complete the missing labels and eventually, improve the accuracy of the underlying structure learning system.
Author	Michelioudakis, Evangelos Paliouras, Georgios Artikis, Alexander
Author_xml	– sequence: 1 givenname: Evangelos orcidid: 0000-0002-8133-7347 surname: Michelioudakis fullname: Michelioudakis, Evangelos email: vagmcs@iit.demokritos.gr organization: Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Institute of Informatics and Telecommunications, National Center for Scientific Research “Demokritos” – sequence: 2 givenname: Alexander surname: Artikis fullname: Artikis, Alexander organization: Department of Maritime Studies, University of Piraeus, Institute of Informatics and Telecommunications, National Center for Scientific Research “Demokritos” – sequence: 3 givenname: Georgios surname: Paliouras fullname: Paliouras, Georgios organization: Institute of Informatics and Telecommunications, National Center for Scientific Research “Demokritos”
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Cites_doi	10.1016/S0004-3702(98)00034-4 10.1007/BF03037227 10.1007/BF03037383 10.1145/2699916 10.1080/01621459.1963.10500830 10.1145/2187671.2187677 10.1198/106186008X344748 10.1002/nav.3800020109 10.1007/s11721-015-0116-8 10.1613/jair.1509 10.3233/IDA-2003-7305 10.1017/S1471068416000260 10.1007/s10115-011-0406-4 10.1109/TKDE.2005.186 10.1109/TKDE.2010.36 10.1017/S0269888912000264 10.1007/s10707-016-0266-x 10.2200/S00196ED1V01Y200906AIM006 10.1109/34.588021 10.1145/3117809 10.1007/s10994-006-5833-1 10.1007/978-3-540-68856-3 10.1023/A:1007361123060 10.1016/j.knosys.2012.04.021 10.1109/TKDE.2014.2356476 10.3115/981658.981684 10.1023/A:1022689900470 10.1145/347090.347107 10.1007/978-3-642-23783-6_6 10.1007/978-3-319-46128-1_15 10.1145/3093742.3093912 10.1007/978-3-319-63342-8_3
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References	Dhurandhar, Dobra (CR20) 2012; 31 Kuhn (CR35) 1955; 2 Cugola, Margara (CR16) 2012; 44 Culp, Michailidis (CR17) 2008; 17 CR37 Aha, Kibler, Albert (CR2) 1991; 6 CR33 Landwehr, Kersting, De Raedt (CR36) 2007; 8 CR32 CR31 Hoeffding (CR28) 1963; 58 Albinati, Oliveira, Otero, Pappa (CR3) 2015; 9 Duchi, Hazan, Singer (CR22) 2011; 12 Li, Guo (CR39) 2012; 35 Li, Guo (CR38) 2011; 6 Richardson, Domingos (CR51) 2006; 62 CR5 CR8 CR9 CR49 CR45 Chawla, Karakoulas (CR15) 2005; 23 CR43 CR42 CR41 CR40 De Raedt (CR19) 2008 Pietra, Pietra, Lafferty (CR47) 1997; 19 De Raedt, Dehaspe (CR18) 1997; 26 Alevizos, Skarlatidis, Artikis, Paliouras (CR4) 2017; 50 CR14 CR58 CR13 CR12 CR56 CR11 CR55 CR54 Zhu, Goldberg, Brachman, Dietterich (CR59) 2009 Abdulsalam, Skillicorn, Martin (CR1) 2011; 23 Quinlan (CR48) 1990; 5 Muggleton (CR44) 1995; 13 CR50 Patroumpas, Alevizos, Artikis, Vodas, Pelekis, Theodoridis (CR46) 2017; 21 Artikis, Sergot, Paliouras (CR6) 2015; 27 Katzouris, Artikis, Paliouras (CR30) 2016; 16 Soonthornphisaj, Kijsirikul (CR53) 2003; 7 Skarlatidis, Paliouras, Artikis, Vouros (CR52) 2015; 16 Zhou, Li (CR57) 2005; 17 CR29 CR27 Blockeel, De Raedt (CR10) 1998; 101 CR26 CR25 CR24 CR23 CR21 Artikis, Skarlatidis, Portet, Paliouras (CR7) 2012; 27 Kowalski, Sergot (CR34) 1986; 4 G Cugola (5794_CR16) 2012; 44 M Richardson (5794_CR51) 2006; 62 N Katzouris (5794_CR30) 2016; 16 5794_CR40 5794_CR42 5794_CR41 A Skarlatidis (5794_CR52) 2015; 16 Y Li (5794_CR39) 2012; 35 H Blockeel (5794_CR10) 1998; 101 5794_CR49 5794_CR43 5794_CR45 DW Aha (5794_CR2) 1991; 6 Y Li (5794_CR38) 2011; 6 E Alevizos (5794_CR4) 2017; 50 X Zhu (5794_CR59) 2009 M Culp (5794_CR17) 2008; 17 A Dhurandhar (5794_CR20) 2012; 31 L Raedt De (5794_CR18) 1997; 26 5794_CR31 W Hoeffding (5794_CR28) 1963; 58 5794_CR37 RA Kowalski (5794_CR34) 1986; 4 5794_CR33 5794_CR32 NV Chawla (5794_CR15) 2005; 23 J Duchi (5794_CR22) 2011; 12 L Raedt De (5794_CR19) 2008 5794_CR8 5794_CR5 5794_CR9 JR Quinlan (5794_CR48) 1990; 5 HW Kuhn (5794_CR35) 1955; 2 5794_CR26 5794_CR25 J Albinati (5794_CR3) 2015; 9 5794_CR27 5794_CR21 H Abdulsalam (5794_CR1) 2011; 23 5794_CR24 5794_CR23 SD Pietra (5794_CR47) 1997; 19 N Landwehr (5794_CR36) 2007; 8 A Artikis (5794_CR7) 2012; 27 5794_CR29 A Artikis (5794_CR6) 2015; 27 5794_CR50 5794_CR14 K Patroumpas (5794_CR46) 2017; 21 5794_CR58 5794_CR11 5794_CR55 5794_CR54 5794_CR13 Z Zhou (5794_CR57) 2005; 17 5794_CR12 5794_CR56 S Muggleton (5794_CR44) 1995; 13 N Soonthornphisaj (5794_CR53) 2003; 7
References_xml	– ident: CR45 – volume: 5 start-page: 239 year: 1990 end-page: 266 ident: CR48 article-title: Learning logical definitions from relations publication-title: Machine Learning – ident: CR49 – ident: CR12 – volume: 6 start-page: 37 year: 1991 end-page: 66 ident: CR2 article-title: Instance-based learning algorithms publication-title: Machine Learning – volume: 101 start-page: 285 issue: 1–2 year: 1998 end-page: 297 ident: CR10 article-title: Top-down induction of first-order logical decision trees publication-title: Artificial Intelligence doi: 10.1016/S0004-3702(98)00034-4 – volume: 13 start-page: 245 year: 1995 end-page: 286 ident: CR44 article-title: Inverse entailment and Progol publication-title: New Generation Computing doi: 10.1007/BF03037227 – ident: CR29 – ident: CR54 – ident: CR8 – ident: CR58 – ident: CR25 – ident: CR42 – ident: CR21 – volume: 4 start-page: 67 issue: 1 year: 1986 end-page: 95 ident: CR34 article-title: A logic-based calculus of events publication-title: New Generation Computing doi: 10.1007/BF03037383 – ident: CR50 – volume: 16 start-page: 11:1 issue: 2 year: 2015 end-page: 11:37 ident: CR52 article-title: Probabilistic Event Calculus for event recognition publication-title: ACM Transactions on Computational Logic doi: 10.1145/2699916 – volume: 58 start-page: 13 issue: 301 year: 1963 end-page: 30 ident: CR28 article-title: Probability inequalities for sums of bounded random variables publication-title: Journal of the American Statistical Association doi: 10.1080/01621459.1963.10500830 – ident: CR11 – ident: CR9 – volume: 44 start-page: 15:1 issue: 3 year: 2012 end-page: 15:62 ident: CR16 article-title: Processing flows of information: From data stream to complex event processing publication-title: ACM Computing Survey doi: 10.1145/2187671.2187677 – ident: CR32 – ident: CR5 – volume: 17 start-page: 545 issue: 3 year: 2008 end-page: 571 ident: CR17 article-title: An iterative algorithm for extending learners to a semi-supervised setting publication-title: Journal of Computational and Graphical Statistics doi: 10.1198/106186008X344748 – volume: 2 start-page: 83 year: 1955 end-page: 97 ident: CR35 article-title: The Hungarian method for the assignment problem publication-title: Naval Research Logistics Quarterly doi: 10.1002/nav.3800020109 – volume: 9 start-page: 315 issue: 4 year: 2015 end-page: 341 ident: CR3 article-title: An ant colony-based semi-supervised approach for learning classification rules publication-title: Swarm Intelligence doi: 10.1007/s11721-015-0116-8 – ident: CR26 – volume: 12 start-page: 2121 year: 2011 end-page: 2159 ident: CR22 article-title: Adaptive subgradient methods for online learning and stochastic optimization publication-title: Journal of Machine Learning Research – volume: 23 start-page: 331 issue: 1 year: 2005 end-page: 366 ident: CR15 article-title: Learning from labeled and unlabeled data: An empirical study across techniques and domains publication-title: Journal of Artificial Intelligence Research doi: 10.1613/jair.1509 – ident: CR43 – volume: 7 start-page: 233 issue: 3 year: 2003 end-page: 253 ident: CR53 article-title: Iterative cross-training: An algorithm for web page categorization publication-title: Intelligent Data Analysis doi: 10.3233/IDA-2003-7305 – volume: 6 start-page: 474 issue: 3 year: 2011 end-page: 479 ident: CR38 article-title: Web page classification using relational learning algorithm and unlabeled data publication-title: Journal of Computers – ident: CR14 – ident: CR37 – volume: 16 start-page: 817 issue: 5–6 year: 2016 end-page: 833 ident: CR30 article-title: Online learning of event definitions publication-title: Theory and Practice of Logic Programming doi: 10.1017/S1471068416000260 – ident: CR33 – volume: 31 start-page: 55 issue: 1 year: 2012 end-page: 78 ident: CR20 article-title: Distribution-free bounds for relational classification publication-title: Knowledge and Information Systems doi: 10.1007/s10115-011-0406-4 – volume: 17 start-page: 1529 issue: 11 year: 2005 end-page: 1541 ident: CR57 article-title: Tri-training: Exploiting unlabeled data using three classifiers publication-title: IEEE Transactions on Knowledge and Data Engineering doi: 10.1109/TKDE.2005.186 – volume: 23 start-page: 22 issue: 1 year: 2011 end-page: 36 ident: CR1 article-title: Classification using streaming random forests publication-title: IEEE Transactions on Knowledge and Data Engineering doi: 10.1109/TKDE.2010.36 – ident: CR56 – ident: CR40 – ident: CR27 – ident: CR23 – volume: 27 start-page: 469 issue: 4 year: 2012 end-page: 506 ident: CR7 article-title: Logic-based event recognition publication-title: Knowledge Engineering Review doi: 10.1017/S0269888912000264 – volume: 8 start-page: 481 year: 2007 end-page: 507 ident: CR36 article-title: Integrating naïve bayes and FOIL publication-title: Journal of Machine Learning Research – volume: 21 start-page: 389 issue: 2 year: 2017 end-page: 427 ident: CR46 article-title: Online event recognition from moving vessel trajectories publication-title: GeoInformatica doi: 10.1007/s10707-016-0266-x – year: 2009 ident: CR59 publication-title: Introduction to semi-supervised learning doi: 10.2200/S00196ED1V01Y200906AIM006 – volume: 19 start-page: 380 issue: 4 year: 1997 end-page: 393 ident: CR47 article-title: Inducing features of random fields publication-title: IEEE Transactions on Pattern Analysis and Machine Intelligence doi: 10.1109/34.588021 – volume: 50 start-page: 71:1 issue: 5 year: 2017 end-page: 71:31 ident: CR4 article-title: Probabilistic complex event recognition: A survey publication-title: ACM Computing Surveys doi: 10.1145/3117809 – volume: 62 start-page: 107 issue: 1–2 year: 2006 end-page: 136 ident: CR51 article-title: Markov logic networks publication-title: Machine Learning doi: 10.1007/s10994-006-5833-1 – year: 2008 ident: CR19 publication-title: Logical and relational learning: From ILP to MRDM (cognitive technologies) doi: 10.1007/978-3-540-68856-3 – volume: 26 start-page: 99 issue: 2–3 year: 1997 end-page: 146 ident: CR18 article-title: Clausal discovery publication-title: Machine Learning doi: 10.1023/A:1007361123060 – ident: CR31 – ident: CR13 – volume: 35 start-page: 173 year: 2012 end-page: 185 ident: CR39 article-title: A new relational tri-training system with adaptive data editing for inductive logic programming publication-title: Knowledge-Based Systems doi: 10.1016/j.knosys.2012.04.021 – ident: CR55 – volume: 27 start-page: 895 issue: 4 year: 2015 end-page: 908 ident: CR6 article-title: An Event Calculus for event recognition publication-title: IEEE Transactions on Knowledge and Data Engineering doi: 10.1109/TKDE.2014.2356476 – ident: CR41 – ident: CR24 – volume: 58 start-page: 13 issue: 301 year: 1963 ident: 5794_CR28 publication-title: Journal of the American Statistical Association doi: 10.1080/01621459.1963.10500830 – volume: 7 start-page: 233 issue: 3 year: 2003 ident: 5794_CR53 publication-title: Intelligent Data Analysis doi: 10.3233/IDA-2003-7305 – volume: 17 start-page: 545 issue: 3 year: 2008 ident: 5794_CR17 publication-title: Journal of Computational and Graphical Statistics doi: 10.1198/106186008X344748 – volume: 44 start-page: 15:1 issue: 3 year: 2012 ident: 5794_CR16 publication-title: ACM Computing Survey doi: 10.1145/2187671.2187677 – volume: 5 start-page: 239 year: 1990 ident: 5794_CR48 publication-title: Machine Learning – volume: 9 start-page: 315 issue: 4 year: 2015 ident: 5794_CR3 publication-title: Swarm Intelligence doi: 10.1007/s11721-015-0116-8 – ident: 5794_CR56 doi: 10.3115/981658.981684 – ident: 5794_CR25 – ident: 5794_CR50 – volume: 23 start-page: 22 issue: 1 year: 2011 ident: 5794_CR1 publication-title: IEEE Transactions on Knowledge and Data Engineering doi: 10.1109/TKDE.2010.36 – volume: 27 start-page: 469 issue: 4 year: 2012 ident: 5794_CR7 publication-title: Knowledge Engineering Review doi: 10.1017/S0269888912000264 – ident: 5794_CR40 – volume: 6 start-page: 37 year: 1991 ident: 5794_CR2 publication-title: Machine Learning doi: 10.1023/A:1022689900470 – volume: 101 start-page: 285 issue: 1–2 year: 1998 ident: 5794_CR10 publication-title: Artificial Intelligence doi: 10.1016/S0004-3702(98)00034-4 – volume: 62 start-page: 107 issue: 1–2 year: 2006 ident: 5794_CR51 publication-title: Machine Learning doi: 10.1007/s10994-006-5833-1 – ident: 5794_CR58 – ident: 5794_CR12 – ident: 5794_CR54 – ident: 5794_CR31 – volume-title: Introduction to semi-supervised learning year: 2009 ident: 5794_CR59 doi: 10.2200/S00196ED1V01Y200906AIM006 – volume: 16 start-page: 817 issue: 5–6 year: 2016 ident: 5794_CR30 publication-title: Theory and Practice of Logic Programming doi: 10.1017/S1471068416000260 – ident: 5794_CR45 – ident: 5794_CR24 – volume: 27 start-page: 895 issue: 4 year: 2015 ident: 5794_CR6 publication-title: IEEE Transactions on Knowledge and Data Engineering doi: 10.1109/TKDE.2014.2356476 – volume-title: Logical and relational learning: From ILP to MRDM (cognitive technologies) year: 2008 ident: 5794_CR19 doi: 10.1007/978-3-540-68856-3 – volume: 35 start-page: 173 year: 2012 ident: 5794_CR39 publication-title: Knowledge-Based Systems doi: 10.1016/j.knosys.2012.04.021 – volume: 21 start-page: 389 issue: 2 year: 2017 ident: 5794_CR46 publication-title: GeoInformatica doi: 10.1007/s10707-016-0266-x – ident: 5794_CR55 – ident: 5794_CR27 – ident: 5794_CR13 – ident: 5794_CR9 – volume: 8 start-page: 481 year: 2007 ident: 5794_CR36 publication-title: Journal of Machine Learning Research – ident: 5794_CR23 – ident: 5794_CR21 doi: 10.1145/347090.347107 – volume: 23 start-page: 331 issue: 1 year: 2005 ident: 5794_CR15 publication-title: Journal of Artificial Intelligence Research doi: 10.1613/jair.1509 – ident: 5794_CR33 – volume: 19 start-page: 380 issue: 4 year: 1997 ident: 5794_CR47 publication-title: IEEE Transactions on Pattern Analysis and Machine Intelligence doi: 10.1109/34.588021 – ident: 5794_CR37 – volume: 13 start-page: 245 year: 1995 ident: 5794_CR44 publication-title: New Generation Computing doi: 10.1007/BF03037227 – volume: 6 start-page: 474 issue: 3 year: 2011 ident: 5794_CR38 publication-title: Journal of Computers – ident: 5794_CR14 – volume: 50 start-page: 71:1 issue: 5 year: 2017 ident: 5794_CR4 publication-title: ACM Computing Surveys doi: 10.1145/3117809 – ident: 5794_CR49 – ident: 5794_CR8 – volume: 12 start-page: 2121 year: 2011 ident: 5794_CR22 publication-title: Journal of Machine Learning Research – ident: 5794_CR29 doi: 10.1007/978-3-642-23783-6_6 – ident: 5794_CR26 – ident: 5794_CR43 – volume: 31 start-page: 55 issue: 1 year: 2012 ident: 5794_CR20 publication-title: Knowledge and Information Systems doi: 10.1007/s10115-011-0406-4 – ident: 5794_CR42 doi: 10.1007/978-3-319-46128-1_15 – ident: 5794_CR5 doi: 10.1145/3093742.3093912 – ident: 5794_CR41 doi: 10.1007/978-3-319-63342-8_3 – volume: 26 start-page: 99 issue: 2–3 year: 1997 ident: 5794_CR18 publication-title: Machine Learning doi: 10.1023/A:1007361123060 – ident: 5794_CR11 – ident: 5794_CR32 – volume: 16 start-page: 11:1 issue: 2 year: 2015 ident: 5794_CR52 publication-title: ACM Transactions on Computational Logic doi: 10.1145/2699916 – volume: 17 start-page: 1529 issue: 11 year: 2005 ident: 5794_CR57 publication-title: IEEE Transactions on Knowledge and Data Engineering doi: 10.1109/TKDE.2005.186 – volume: 4 start-page: 67 issue: 1 year: 1986 ident: 5794_CR34 publication-title: New Generation Computing doi: 10.1007/BF03037383 – volume: 2 start-page: 83 year: 1955 ident: 5794_CR35 publication-title: Naval Research Logistics Quarterly doi: 10.1002/nav.3800020109
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SubjectTerms	Artificial Intelligence Caching Computer Science Control Data transmission Distance learning Human activity recognition Labels Mechatronics Natural Language Processing (NLP) Optimization Robotics Simulation and Modeling Special Issue of the Inductive Logic Programming (ILP) 2017-2018
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Title	Semi-supervised online structure learning for composite event recognition
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