TY - JOUR AU - Almousa, Salah Al-Deen Afif Said AU - Horváth, Gábor AU - Telek, Miklós TI - Correction to: Transient analysis of piecewise homogeneous Markov fluid models (Annals of Operations Research, (2020), 10.1007/s10479-020-03831-1) JF - ANNALS OF OPERATIONS RESEARCH J2 - ANN OPER RES VL - 332 PY - 2024 SP - 1251 EP - 1251 PG - 1 SN - 0254-5330 DO - 10.1007/s10479-021-03934-3 UR - https://m2.mtmt.hu/api/publication/32242266 ID - 32242266 N1 - Correction to: Annals of Operations Research https://doi.org/10.1007/s10479-020-03831-1 [31797535] AB - Affiliation for author Miklos Telek was missing in the original publication and should be read as: Department of Networked Systems and Services, Budapest University of Technology and Economics, Budapest, Hungary and MTA-BME Information Systems Reseach Group, Hungary. 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. LA - English DB - MTMT ER - TY - JOUR AU - Hannák, Gábor AU - Horváth, Gábor AU - Kádár, A. AU - Szalai, Márk Dániel TI - Bilateral-Weighted Online Adaptive Isolation Forest for anomaly detection in streaming data JF - STATISTICAL ANALYSIS AND DATA MINING J2 - STAT ANAL DATA MIN VL - 16 PY - 2023 IS - 3 SP - 215 EP - 223 PG - 9 SN - 1932-1864 DO - 10.1002/sam.11612 UR - https://m2.mtmt.hu/api/publication/33629258 ID - 33629258 LA - English DB - MTMT ER - TY - JOUR AU - Horváth, Gábor AU - Mészáros, András Gergely AU - Szilágyi, Péter TI - TeleDAL: a regression-based template-less unsupervised method for finding anomalies in log sequences JF - JOURNAL OF SUPERCOMPUTING J2 - J SUPERCOMPUT VL - 79 PY - 2023 IS - 16 SP - 18394 EP - 18416 PG - 23 SN - 0920-8542 DO - 10.1007/s11227-023-05379-w UR - https://m2.mtmt.hu/api/publication/33879816 ID - 33879816 N1 - Department of Networked Systems and Services, Budapest University of Technology and Economics, Műegyetem rkp. 3, Budapest, 1111, Hungary Nokia Bell Labs, Budapest, Hungary Export Date: 26 May 2023 CODEN: JOSUE Correspondence Address: Horváth, G.; Department of Networked Systems and Services, Műegyetem rkp. 3, Hungary; email: horvath.gabor@vik.bme.hu LA - English DB - MTMT ER - TY - JOUR AU - Horváth, Gábor AU - Kádár, Attila AU - Szilágyi, Péter TI - The Sub-Sequence Summary Method for Detecting Anomalies in Logs JF - IEEE ACCESS J2 - IEEE ACCESS VL - 11 PY - 2023 SP - 37412 EP - 37423 PG - 12 SN - 2169-3536 DO - 10.1109/ACCESS.2023.3266990 UR - https://m2.mtmt.hu/api/publication/33794293 ID - 33794293 N1 - Department of Networked Systems and Services, Budapest University of Technology and Economics, Műegyetem rkp. 3, Budapest, Hungary Nokia Bell Labs, Budapest, Hungary Export Date: 5 May 2023 LA - English DB - MTMT ER - TY - JOUR AU - Almousa, Salah Al-Deen Afif Said AU - Horváth, Gábor AU - Horváth, Illés AU - Mészáros, András Gergely AU - Telek, Miklós TI - The CME method:Efficient numerical inverse Laplace transformation with Concentrated Matrix Exponential distribution JF - SIGMETRICS PERFORMANCE EVALUATION REVIEW J2 - SIGMETR PERFORM EVAL REV VL - 49 PY - 2022 IS - 4 SP - 29 EP - 34 PG - 6 SN - 0163-5999 DO - 10.1145/3543146.3543155 UR - https://m2.mtmt.hu/api/publication/32897098 ID - 32897098 N1 - Budapest University Of Technology And Economics, Hungary MTA-BME Information Systems Research Group, Budapest, Hungary Export Date: 21 June 2022 CODEN: PERED LA - English DB - MTMT ER - TY - JOUR AU - Almousa, Salah Al-Deen Afif Said AU - Horváth, Gábor AU - Telek, Miklós TI - Parameter estimation of Markov modulated fluid arrival processes JF - PERFORMANCE EVALUATION J2 - PERFORM EVALUATION VL - 157-158 PY - 2022 PG - 16 SN - 0166-5316 DO - 10.1016/j.peva.2022.102316 UR - https://m2.mtmt.hu/api/publication/33099054 ID - 33099054 N1 - Department of Networked Systems and Services, Budapest University of Technology and Economics, Budapest, Hungary ELKH-BME Information Systems Research Group, Budapest, Hungary Export Date: 5 October 2022 CODEN: PEEVD Correspondence Address: Telek, M.; Department of Networked Systems and Services, Hungary; email: telek@hit.bme.hu Funding Agency and Grant Number: OTKA, Hungary; Artificial Intelligence National Laboratory Programme of Hungary [K-138208] Funding text: This work is partially supported by the OTKA, Hungary K-138208 project and the Artificial Intelligence National Laboratory Programme of Hungary. AB - 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. To reduce the computational complexity of the likelihood computation, we accelerate the numerical inverse Laplace transformation step of the procedure with function fitting. LA - English DB - MTMT ER - TY - JOUR AU - Almousa, Salah Al-Deen Afif Said AU - Horváth, Gábor AU - Telek, Miklós TI - Transient analysis of piecewise homogeneous Markov fluid models JF - ANNALS OF OPERATIONS RESEARCH J2 - ANN OPER RES VL - 310 PY - 2022 IS - 2 SP - 333 EP - 353 PG - 21 SN - 0254-5330 DO - 10.1007/s10479-020-03831-1 UR - https://m2.mtmt.hu/api/publication/31797535 ID - 31797535 N1 - Export Date: 20 September 2021 Correspondence Address: Telek, M.; Department of Networked Systems and Services, Hungary; email: telek@hit.bme.hu Funding details: Hungarian Scientific Research Fund, OTKA, K-123914 Funding text 1: This work is partially supported by the OTKA K-123914 and the TUDFO/51757/2019-ITM grants. AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Akar, Nail AU - Gursoy, Omer AU - Horváth, Gábor AU - Telek, Miklós TI - Transient and First Passage Time Distributions of First- and Second-order Multi-regime Markov Fluid Queues via ME-fication JF - METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY J2 - METHODOL COMPUT APPL VL - 23 PY - 2021 SP - 1257 EP - 1283 PG - 27 SN - 1387-5841 DO - 10.1007/s11009-020-09812-y UR - https://m2.mtmt.hu/api/publication/31397817 ID - 31397817 LA - English DB - MTMT ER - TY - CHAP AU - Almousa, Salah Al-Deen Afif Said AU - Horváth, Gábor AU - Telek, Miklós ED - Paolo, Ballarini ED - Hind, Castel ED - Ioannis, Dimitriou ED - Mauro, Iacono ED - Tuan, Phung-Duc ED - Joris, Walraevens TI - EM Based Parameter Estimation for Markov Modulated Fluid Arrival Processes T2 - Performance Engineering and Stochastic Modeling VL - 13104 LNCS PB - Springer Netherlands CY - Cham SN - 9783030918248 T3 - Lecture Notes in Computer Science, ISSN 0302-9743 ; 13104. PY - 2021 SP - 226 EP - 242 PG - 17 DO - 10.1007/978-3-030-91825-5_14 UR - https://m2.mtmt.hu/api/publication/32801207 ID - 32801207 N1 - Department of Networked Systems and Services, Budapest University of Technology and Economics, Budapest, Hungary MTA-BME Information Systems Research Group, ELKH, Budapest, Hungary Export Date: 2 May 2022 Correspondence Address: Telek, M.; Department of Networked Systems and Services, Hungary; email: telek@hit.bme.hu AB - 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 some parameters of MMFAPs can be approximated this way. LA - English DB - MTMT ER - TY - JOUR AU - Almousa, Salah Al-Deen Afif Said AU - Horváth, Gábor AU - Telek, Miklós TI - Transient analysis of piecewise homogeneous QBD process JF - STOCHASTIC MODELS J2 - STOCH MODELS VL - 37 PY - 2021 IS - 1 SP - 59 EP - 84 PG - 26 SN - 1532-6349 DO - 10.1080/15326349.2020.1810581 UR - https://m2.mtmt.hu/api/publication/31566233 ID - 31566233 N1 - Department of Networked Systems and Services, Technical University of Budapest, Budapest, Hungary MTA-BME Information Systems Research Group, Budapest, Hungary Cited By :1 Export Date: 13 September 2021 Correspondence Address: Telek, M.; Department of Networked Systems and Services, Hungary Funding details: Hungarian Scientific Research Fund, OTKA, K-123914 Funding text 1: This work is partially supported by the OTKA K-123914 and the TUDFO/51757/2019-ITM grants LA - English DB - MTMT ER -