@inproceedings{MTMT:3172047,
	title = {Towards the Characterization of Realistic Models: Evaluation of Multidisciplinary Graph Metrics},
	url = {https://m2.mtmt.hu/api/publication/3172047},
	author = {Szárnyas, Gábor and Kővári, Zsolt and Salánki, Ágnes and Varró, Dániel},
	booktitle = {MODELS '16},
	doi = {10.1145/2976767.2976786},
	unique-id = {3172047},
	year = {2016},
	pages = {87-94},
	orcid-numbers = {Varró, Dániel/0000-0002-8790-252X}
}

@{MTMT:3086847,
	title = {Measurement-Based Identification of Infrastructures for Trustworthy Cyber-Physical Systems},
	url = {https://m2.mtmt.hu/api/publication/3086847},
	author = {Kocsis, Imre and Salánki, Ágnes and Pataricza, András},
	booktitle = {Trustworthy Cyber-Physical Systems Engineering},
	unique-id = {3086847},
	year = {2016},
	orcid-numbers = {Pataricza, András/0000-0002-6516-129X}
}

@misc{MTMT:3102283,
	title = {Data Analysis Based Capacity Planning of VCL Clouds},
	url = {https://m2.mtmt.hu/api/publication/3102283},
	author = {Salánki, Ágnes and Gergő, Kincses and László, Gönczy and Imre, Kocsis},
	unique-id = {3102283},
	year = {2015}
}

@inproceedings{MTMT:2836995,
	title = {Identification of Dependability Models from Large Observation Sets},
	url = {https://m2.mtmt.hu/api/publication/2836995},
	author = {Salánki, Ágnes and Pataricza, András},
	booktitle = {Proceedings of the 22nd PhD Mini-symposium},
	unique-id = {2836995},
	abstract = {Dependability analysis of complex infrastructures
		necessitates a sophisticated statistical analysis in order to 
		estimate the causes of failures. The paper presents a 
		combination of visual analytics and algorithmic methods 
		specialized to rare event analysis. The main outcomes of the 
		proposed analysis process are a statistical model of the 
		system and the estimation of the main factors to be used in 
		supervisory systems for an early detection of potential 
		failures.},
	year = {2015},
	pages = {8-11},
	orcid-numbers = {Pataricza, András/0000-0002-6516-129X}
}

@{MTMT:3102300,
	title = {Ritka események},
	url = {https://m2.mtmt.hu/api/publication/3102300},
	author = {Pataricza, András and Salánki, Ágnes},
	booktitle = {Intelligens adatelemzés},
	unique-id = {3102300},
	year = {2014},
	pages = {30-47},
	orcid-numbers = {Pataricza, András/0000-0002-6516-129X}
}

@{MTMT:2695249,
	title = {Empirical Assessment of Resilience},
	url = {https://m2.mtmt.hu/api/publication/2695249},
	author = {Pataricza, András and Kocsis, Imre and Salánki, Ágnes and Gönczy, László},
	booktitle = {Software Engineering for Resilient Systems},
	doi = {10.1007/978-3-642-40894-6_1},
	unique-id = {2695249},
	year = {2013},
	pages = {1-16},
	orcid-numbers = {Pataricza, András/0000-0002-6516-129X}
}

@inproceedings{MTMT:2169667,
	title = {OWLAP - using OLAP approach in anomaly detection. Award: Good Support for the Data Preparation, Analysis, and Presentation Process},
	url = {https://m2.mtmt.hu/api/publication/2169667},
	author = {Dudás, László and Fekete, Zsolt and Göbölös-Szabó, Júlia and Radnai, András and Salánki, Ágnes and Szabó, Adrienn and Szűcs, Gábor},
	booktitle = {IEEE Conference on Visual analytics Science and Technology 2012},
	doi = {10.1109/VAST.2012.6400523},
	unique-id = {2169667},
	abstract = {OWLAP (Operative Workbench for Large-scale Analytics and Presentation) is a visual analytics tool that allows the user to browse and drill down the multidimensional data on-line with the possibility to export result into a zooming presentation framework. We address the challenges of multidimensional visualization by aiding the cognitively hard task of understanding attributes, finding patterns and outliers. We successfully solved the challenge of real time Big Data OLAP reporting by a home developed multithreaded inmemory database manager. Our additional focus is the automatic management of summary preparation that we aid by scripting the presentation framework of Prezi Inc.},
	year = {2012},
	pages = {267-268},
	orcid-numbers = {Dudás, László/0000-0002-2920-0079; Szabó, Adrienn/0000-0002-1530-2074}
}

@inproceedings{MTMT:2666042,
	title = {Qualitative Characterization of Quality of Service Interference between Virtual Machines},
	url = {https://m2.mtmt.hu/api/publication/2666042},
	author = {Salánki, Ágnes and Kocsis, Imre and Pataricza, András and Kocsis L., Zsolt},
	booktitle = {ARCS 2011},
	unique-id = {2666042},
	abstract = {Virtualization based server consolidation is the fundamental 
		technology in data centers supporting e.g. server cost 
		reduction, cheap HA failover setups or green computing. Virtual 
		machines running on a shared server should be in an idealistic 
		case independent of each other both from the point of view of 
		logical and performability aspects; however, isolation is 
		typically imperfect. The paper proposes a methodology for 
		estimating parasitic interferences between virtual machines 
		running on the same shared host by analyzing the core factors by 
		means of data mining. The consequences to deployment policy are 
		shortly addressed.},
	year = {2011},
	pages = {141-149},
	orcid-numbers = {Pataricza, András/0000-0002-6516-129X}
}