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Along with Department of Networked Systems and Services, Budapest University of Technology and Economics, Budapest, Hungary. Original article has been updated. © 2021, Springer Science+Business Media, LLC, part of Springer Nature.", "citationCount" : 0, "citationCountWoOther" : 0, "independentCitCountWoOther" : 0, "independentCitationCount" : 0, "selfCitationCount" : 0, "unhandledCitationCount" : 0, "citingPubCount" : 0, "independentCitingPubCount" : 0, "citingPubCountWoOther" : 0, "independentCitingPubCountWoOther" : 0, "unhandledCitingPubCount" : 0, "link" : "/api/publication/32242266", "label" : "Almousa S.A.-D. et al. Correction to: Transient analysis of piecewise homogeneous Markov fluid models (Annals of Operations Research, (2020), 10.1007/s10479-020-03831-1). (2024) ANNALS OF OPERATIONS RESEARCH 0254-5330 1572-9338 332 1251-1251", "snippet" : true, "template" : "", "template2" : "" }, { "otype" : "Patent", "mtid" : 35076182, "status" : "APPROVED", "type" : { "otype" : "PublicationType", "mtid" : 26, "link" : "/api/publicationtype/26", "label" : "Protection forms", "code" : 26, "otypeName" : "Patent", "listPosition" : 7, "published" : true, "oldId" : 26, "snippet" : true }, "subType" : { "otype" : "SubType", "mtid" : 21, "mayHaveImpactFactor" : false, "link" : "/api/subtype/21", "label" : "International patent (Protection forms)", "snippet" : true }, "category" : { "otype" : "Category", "mtid" : 1, "link" : "/api/category/1", "label" : "Scientific", "published" : true, "oldId" : 1, "snippet" : true }, "languages" : [ { "otype" : "Language", "mtid" : 10002, "link" : "/api/language/10002", "label" : "English", "name" : "Angol", "nameEng" : "English", "published" : true, "oldId" : 2, "snippet" : true } ], "publishedYear" : 2024, "citationCount" : 0, "citationCountWoOther" : 0, "independentCitCountWoOther" : 0, "independentCitationCount" : 0, "selfCitationCount" : 0, "unhandledCitationCount" : 0, "citingPubCount" : 0, "independentCitingPubCount" : 0, "citingPubCountWoOther" : 0, "independentCitingPubCountWoOther" : 0, "unhandledCitingPubCount" : 0, "link" : "/api/publication/35076182", "label" : "Péter SZILÁGYI et al. Anomaly Detection Using Logs. (2024) WO/2024/074883", "snippet" : true, "template" : "", "template2" : "" }, { "otype" : "JournalArticle", "mtid" : 33629258, "status" : "ADMIN_APPROVED", "type" : { "otype" : "PublicationType", "mtid" : 24, "link" : "/api/publicationtype/24", "label" : "Journal Article", "code" : 24, "otypeName" : "JournalArticle", "listPosition" : 1, "published" : true, "oldId" : 24, "snippet" : true }, "subType" : { "otype" : "SubType", "mtid" : 10000059, "mayHaveImpactFactor" : true, "link" : "/api/subtype/10000059", "label" : "Article (Journal Article)", "snippet" : true }, "category" : { "otype" : "Category", "mtid" : 1, "link" : "/api/category/1", "label" : "Scientific", "published" : true, "oldId" : 1, "snippet" : true }, "languages" : [ { "otype" : "Language", "mtid" : 10002, "link" : "/api/language/10002", "label" : "English", "name" : "Angol", "nameEng" : "English", "published" : true, "oldId" : 2, "snippet" : true } ], "publishedYear" : 2023, "abstractText" : "We propose a method called Bilateral-Weighted Online Adaptive Isolation Forest (BWOAIF) for unsupervised anomaly detection based on Isolation Forest (IF), which is applicable to streaming data and able to cope with concept drift. Similar to IF, the proposed method has only few hyperparameters whose effect on the performance are easy to interpret by human intuition and therefore easy to tune. BWOAIF ingests data and classifies it as normal or anomalous, and simultaneously adapts its classifier by removing old trees as well as by creating new ones. We show that BWOAIF adapts gradually to slow concept drifts, and, at the same time, it is able to adapt fast to sudden changes of the data distribution. Numerical results show the efficacy of the proposed algorithm and its ability to learn different classes of concept drifts, such as slow/fast concept shift, concept split, concept appearance, and concept disappearance.", "citationCount" : 2, "citationCountWoOther" : 2, "independentCitCountWoOther" : 2, "independentCitationCount" : 2, "selfCitationCount" : 0, "unhandledCitationCount" : 0, "citingPubCount" : 2, "independentCitingPubCount" : 2, "citingPubCountWoOther" : 2, "independentCitingPubCountWoOther" : 2, "unhandledCitingPubCount" : 0, "link" : "/api/publication/33629258", "label" : "Hannák Gábor et al. Bilateral-Weighted Online Adaptive Isolation Forest for anomaly detection in streaming data. (2023) STATISTICAL ANALYSIS AND DATA MINING 1932-1864 1932-1872 16 3 215-223", "snippet" : true, "template" : "", "template2" : "" }, { "otype" : "JournalArticle", "mtid" : 33879816, "status" : "ADMIN_APPROVED", "type" : { "otype" : "PublicationType", "mtid" : 24, "link" : "/api/publicationtype/24", "label" : "Journal Article", "code" : 24, "otypeName" : "JournalArticle", "listPosition" : 1, "published" : true, "oldId" : 24, "snippet" : true }, "subType" : { "otype" : "SubType", "mtid" : 10000059, "mayHaveImpactFactor" : true, "link" : "/api/subtype/10000059", "label" : "Article (Journal Article)", "snippet" : true }, "category" : { "otype" : "Category", "mtid" : 1, "link" : "/api/category/1", "label" : "Scientific", "published" : true, "oldId" : 1, "snippet" : true }, "languages" : [ { "otype" : "Language", "mtid" : 10002, "link" : "/api/language/10002", "label" : "English", "name" : "Angol", "nameEng" : "English", "published" : true, "oldId" : 2, "snippet" : true } ], "publishedYear" : 2023, "citationCount" : 1, "citationCountWoOther" : 1, "independentCitCountWoOther" : 1, "independentCitationCount" : 1, "selfCitationCount" : 0, "unhandledCitationCount" : 0, "citingPubCount" : 1, "independentCitingPubCount" : 1, "citingPubCountWoOther" : 1, "independentCitingPubCountWoOther" : 1, "unhandledCitingPubCount" : 0, "link" : "/api/publication/33879816", "label" : "Horváth G et al. TeleDAL: a regression-based template-less unsupervised method for finding anomalies in log sequences. (2023) JOURNAL OF SUPERCOMPUTING 0920-8542 1573-0484 79 16 18394-18416", "snippet" : true, "template" : "", "template2" : "" }, { "otype" : "JournalArticle", "mtid" : 33794293, "status" : "APPROVED", "type" : { "otype" : "PublicationType", "mtid" : 24, "link" : "/api/publicationtype/24", "label" : "Journal Article", "code" : 24, "otypeName" : "JournalArticle", "listPosition" : 1, "published" : true, "oldId" : 24, "snippet" : true }, "subType" : { "otype" : "SubType", "mtid" : 10000059, "mayHaveImpactFactor" : true, "link" : "/api/subtype/10000059", "label" : "Article (Journal Article)", "snippet" : true }, "category" : { "otype" : "Category", "mtid" : 1, "link" : "/api/category/1", "label" : "Scientific", "published" : true, "oldId" : 1, "snippet" : true }, "languages" : [ { "otype" : "Language", "mtid" : 10002, "link" : "/api/language/10002", "label" : "English", "name" : "Angol", "nameEng" : "English", "published" : true, "oldId" : 2, "snippet" : true } ], "publishedYear" : 2023, "citationCount" : 1, "citationCountWoOther" : 1, "independentCitCountWoOther" : 1, "independentCitationCount" : 1, "selfCitationCount" : 0, "unhandledCitationCount" : 0, "citingPubCount" : 1, "independentCitingPubCount" : 1, "citingPubCountWoOther" : 1, "independentCitingPubCountWoOther" : 1, "unhandledCitingPubCount" : 0, "link" : "/api/publication/33794293", "label" : "Horváth Gábor et al. The Sub-Sequence Summary Method for Detecting Anomalies in Logs. (2023) IEEE ACCESS 2169-3536 2169-3536 11 37412-37423", "snippet" : true, "template" : "", "template2" : "" }, { "otype" : "Patent", "mtid" : 35076205, "status" : "APPROVED", "type" : { "otype" : "PublicationType", "mtid" : 26, "link" : "/api/publicationtype/26", "label" : "Protection forms", "code" : 26, "otypeName" : "Patent", "listPosition" : 7, "published" : true, "oldId" : 26, "snippet" : true }, "subType" : { "otype" : "SubType", "mtid" : 23, "mayHaveImpactFactor" : false, "link" : "/api/subtype/23", "label" : "USA patent (Protection forms)", "snippet" : true }, "category" : { "otype" : "Category", "mtid" : 1, "link" : "/api/category/1", "label" : "Scientific", "published" : true, "oldId" : 1, "snippet" : true }, "languages" : [ { "otype" : "Language", "mtid" : 10002, "link" : "/api/language/10002", "label" : "English", "name" : "Angol", "nameEng" : "English", "published" : true, "oldId" : 2, "snippet" : true } ], "publishedYear" : 2023, "citationCount" : 0, "citationCountWoOther" : 0, "independentCitCountWoOther" : 0, "independentCitationCount" : 0, "selfCitationCount" : 0, "unhandledCitationCount" : 0, "citingPubCount" : 0, "independentCitingPubCount" : 0, "citingPubCountWoOther" : 0, "independentCitingPubCountWoOther" : 0, "unhandledCitingPubCount" : 0, "link" : "/api/publication/35076205", "label" : "Péter SZILÁGYI et al. Method and Apparatus for Anomaly Detection. (2023) US20230412627", "snippet" : true, "template" : "", "template2" : "" }, { "otype" : "JournalArticle", "mtid" : 32897098, "status" : "VALIDATED", "type" : { "otype" : "PublicationType", "mtid" : 24, "link" : "/api/publicationtype/24", "label" : "Journal Article", "code" : 24, "otypeName" : "JournalArticle", "listPosition" : 1, "published" : true, "oldId" : 24, "snippet" : true }, "subType" : { "otype" : "SubType", "mtid" : 1268360, "mayHaveImpactFactor" : false, "link" : "/api/subtype/1268360", "label" : "Conference paper in journal (Journal Article)", "snippet" : true }, "category" : { "otype" : "Category", "mtid" : 1, "link" : "/api/category/1", "label" : "Scientific", "published" : true, "oldId" : 1, "snippet" : true }, "languages" : [ { "otype" : "Language", "mtid" : 10002, "link" : "/api/language/10002", "label" : "English", "name" : "Angol", "nameEng" : "English", "published" : true, "oldId" : 2, "snippet" : true } ], "publishedYear" : 2022, "abstractText" : "Numerical inverse Laplace transformation (NILT) is an important tool in the field of system modelling and performance analysis. The recently introduced CME method has many important advantages over the alternative numerical inverse Laplace transformation (NILT) methods. It avoids Gibbs oscillation (i.e., does not generate overshoot and undershoot), preserves the monotonicity of functions, its accuracy is gradually improving with the order, and it is numerically more stable than the alternative methods. In this paper we demonstrate these advantages and introduce our tool which implements the CME method and other popular NILT methods.", "citationCount" : 0, "citationCountWoOther" : 0, "independentCitCountWoOther" : 0, "independentCitationCount" : 0, "selfCitationCount" : 0, "unhandledCitationCount" : 0, "citingPubCount" : 0, "independentCitingPubCount" : 0, "citingPubCountWoOther" : 0, "independentCitingPubCountWoOther" : 0, "unhandledCitingPubCount" : 0, "link" : "/api/publication/32897098", "label" : "Almousa S.A.-D. et al. The CME method: Efficient numerical inverse Laplace transformation with Concentrated Matrix Exponential distribution. (2022) SIGMETRICS PERFORMANCE EVALUATION REVIEW 0163-5999 1557-9484 49 4 29-34", "snippet" : true, "template" : "", "template2" : "" }, { "otype" : "JournalArticle", "mtid" : 33099054, "status" : "VALIDATED", "type" : { "otype" : "PublicationType", "mtid" : 24, "link" : "/api/publicationtype/24", "label" : "Journal Article", "code" : 24, "otypeName" : "JournalArticle", "listPosition" : 1, "published" : true, "oldId" : 24, "snippet" : true }, "subType" : { "otype" : "SubType", "mtid" : 10000059, "mayHaveImpactFactor" : true, "link" : "/api/subtype/10000059", "label" : "Article (Journal Article)", "snippet" : true }, "category" : { "otype" : "Category", "mtid" : 1, "link" : "/api/category/1", "label" : "Scientific", "published" : true, "oldId" : 1, "snippet" : true }, "languages" : [ { "otype" : "Language", "mtid" : 10002, "link" : "/api/language/10002", "label" : "English", "name" : "Angol", "nameEng" : "English", "published" : true, "oldId" : 2, "snippet" : true } ], "publishedYear" : 2022, "abstractText" : "Markov modulated discrete arrival processes have a wide literature, including parameter estimation methods based on expectation–maximization (EM). In this paper, we investigate the adaptation of these EM based methods to Markov modulated fluid arrival processes (MMFAP), and conclude that only the generator matrix of the modulating Markov chain of MMFAPs can be approximated by EM based method. For the rest of the parameters, the fluid rates and the fluid variances, we investigate the efficiency of numerical likelihood maximization.\n\nTo reduce the computational complexity of the likelihood computation, we accelerate the numerical inverse Laplace transformation step of the procedure with function fitting.", "citationCount" : 4, "citationCountWoOther" : 4, "independentCitCountWoOther" : 3, "independentCitationCount" : 3, "selfCitationCount" : 1, "unhandledCitationCount" : 0, "citingPubCount" : 4, "independentCitingPubCount" : 3, "citingPubCountWoOther" : 4, "independentCitingPubCountWoOther" : 3, "unhandledCitingPubCount" : 0, "link" : "/api/publication/33099054", "label" : "Almousa Salah Al-Deen et al. Parameter estimation of Markov modulated fluid arrival processes. (2022) PERFORMANCE EVALUATION 0166-5316 1872-745X 157-158", "snippet" : true, "template" : "", "template2" : "" }, { "otype" : "JournalArticle", "mtid" : 31797535, "status" : "VALIDATED", "type" : { "otype" : "PublicationType", "mtid" : 24, "link" : "/api/publicationtype/24", "label" : "Journal Article", "code" : 24, "otypeName" : "JournalArticle", "listPosition" : 1, "published" : true, "oldId" : 24, "snippet" : true }, "subType" : { "otype" : "SubType", "mtid" : 10000059, "mayHaveImpactFactor" : true, "link" : "/api/subtype/10000059", "label" : "Article (Journal Article)", "snippet" : true }, "category" : { "otype" : "Category", "mtid" : 1, "link" : "/api/category/1", "label" : "Scientific", "published" : true, "oldId" : 1, "snippet" : true }, "languages" : [ { "otype" : "Language", "mtid" : 10002, "link" : "/api/language/10002", "label" : "English", "name" : "Angol", "nameEng" : "English", "published" : true, "oldId" : 2, "snippet" : true } ], "publishedYear" : 2022, "abstractText" : "Piecewise homogeneous Markov fluid models are composed by homogeneous intervals where the model is governed by an interval dependent pair of generators and the model behaviour changes at the boundaries. The main difficulty of the transient analysis of piecewise homogeneous Markov fluid models is the appropriate description of the various boundary cases. The paper proposes an analytical approach to handle the wide variety of the possible boundary cases in a relatively simple to describe and implement manner.", "citationCount" : 6, "citationCountWoOther" : 6, "independentCitCountWoOther" : 2, "independentCitationCount" : 2, "selfCitationCount" : 4, "unhandledCitationCount" : 0, "citingPubCount" : 6, "independentCitingPubCount" : 2, "citingPubCountWoOther" : 6, "independentCitingPubCountWoOther" : 2, "unhandledCitingPubCount" : 0, "link" : "/api/publication/31797535", "label" : "Almousa Salah Al-Deen et al. Transient analysis of piecewise homogeneous Markov fluid models. (2022) ANNALS OF OPERATIONS RESEARCH 0254-5330 1572-9338 310 2 333-353", "snippet" : true, "template" : "", "template2" : "" }, { "otype" : "JournalArticle", "mtid" : 31397817, "status" : "VALIDATED", "type" : { "otype" : "PublicationType", "mtid" : 24, "link" : "/api/publicationtype/24", "label" : "Journal Article", "code" : 24, "otypeName" : "JournalArticle", "listPosition" : 1, "published" : true, "oldId" : 24, "snippet" : true }, "subType" : { "otype" : "SubType", "mtid" : 10000059, "mayHaveImpactFactor" : true, "link" : "/api/subtype/10000059", "label" : "Article (Journal Article)", "snippet" : true }, "category" : { "otype" : "Category", "mtid" : 1, "link" : "/api/category/1", "label" : "Scientific", "published" : true, "oldId" : 1, "snippet" : true }, "languages" : [ { "otype" : "Language", "mtid" : 10002, "link" : "/api/language/10002", "label" : "English", "name" : "Angol", "nameEng" : "English", "published" : true, "oldId" : 2, "snippet" : true } ], "publishedYear" : 2021, "abstractText" : "We propose a numerical method to obtain the transient and first passage time distributions of first- and second-order Multi-Regime Markov Fluid Queues (MRMFQ). The method relies on the observation that these transient measures can be computed via the stationary analysis of an auxiliary MRMFQ. This auxiliary MRMFQ is constructed from the original one, using sample path arguments, and has a larger cardinality stemming from the need to keep track of time. The conventional method to approximately model the deterministic time horizon is Erlangization. As an alternative, we propose the so-called ME-fication technique, in which a Concentrated Matrix Exponential (CME) distribution replaces the Erlang distribution for approximating deterministic time horizons. ME-fication results in much lower state-space dimensionalities for the auxiliary MRMFQ than would be with Erlangization. Numerical results are presented to validate the effectiveness of ME-fication along with the proposed numerical method.", "citationCount" : 9, "citationCountWoOther" : 9, "independentCitCountWoOther" : 3, "independentCitationCount" : 3, "selfCitationCount" : 6, "unhandledCitationCount" : 0, "citingPubCount" : 9, "independentCitingPubCount" : 3, "citingPubCountWoOther" : 9, "independentCitingPubCountWoOther" : 3, "unhandledCitingPubCount" : 0, "link" : "/api/publication/31397817", "label" : "Akar Nail et al. Transient and First Passage Time Distributions of First- and Second-order Multi-regime Markov Fluid Queues via ME-fication. (2021) METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY 1387-5841 1573-7713 23 4 1257-1283", "snippet" : true, "template" : "", "template2" : "" } ] }

Last modified: 2014.09.15.

© Gábor Horváth, 2012