Mykola Pechenizkiy

Cited by

	All	Since 2016
Citations	8700	5623
h-index	40	31
i10-index	113	74

1400

700

350

1050

2005200620072008200920102011201220132014201520162017201820192020202138 43 74 125 148 206 238 349 449 508 678 821 908 1053 1265 1353 215

Co-authors

Alexey TsymbalSiemens AGVerified email at siemens.com
Indrė ŽliobaitėUniversity of HelsinkiVerified email at helsinki.fi
Paul De BraProfessor of Computer Science, Eindhoven University of TechnologyVerified email at tue.nl
Toon CaldersUniversity of AntwerpVerified email at uantwerpen.be
Joao GamaProfessor, Faculty of Economics, University of PortoVerified email at fep.up.pt
Sebastián VenturaProfessor of Computer Science and Artificial Intelligence, University of CordobaVerified email at uco.es
Cristobal RomeroFull Professor in University of Cordoba and member of KDIS Research GroupVerified email at uco.es
George H. L. FletcherEindhoven University of TechnologyVerified email at tue.nl
Yulong PeiEindhoven University of TechnologyVerified email at tue.nl
Padraig CunninghamProfessor of Knowledge and Data Engineering, University College DublinVerified email at ucd.ie
Evgeny KnutovMediaanVerified email at mediaan.com
Jorn BakkerPhD Candidate, Eindhoven University of TechnologyVerified email at tue.nl
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Fraunhofer FIT || TU/e || TiUVerified email at pads.rwth-aachen.de
Albert BifetTélécom ParisTech & University of WaikatoVerified email at telecom-paristech.fr
Decebal Constantin MocanuUniversity of Twente (Assistant Professor), Eindhoven University of TechnologyVerified email at utwente.nl
Faisal KamiranInformation Technology University of The PunjabVerified email at itu.edu.pk
Ryan BakerUniversity of PennsylvaniaVerified email at upenn.edu
Paolo SodaAssistant professor of Computer Science and Computer Engineering, Università Campus Bio-Medico di RomaVerified email at unicampus.it
Alexandr MaslovEindhoven University of TechnologyVerified email at tue.nl
José María LunaAssistant Professor at University of CordobaVerified email at uco.es

Mykola Pechenizkiy

Eindhoven University of Technology

Verified email at tue.nl - Homepage

data mining predictive analytics fairness transparency accountability


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A survey on concept drift adaptation J Gama, I Žliobaitė, A Bifet, M Pechenizkiy, A Bouchachia ACM computing surveys (CSUR) 46 (4), 1-37, 2014	1710	2014
Predicting Students Drop Out: A Case Study. GW Dekker, M Pechenizkiy, JM Vleeshouwers International Working Group on Educational Data Mining, 2009	495	2009
Handbook of educational data mining C Romero, S Ventura, M Pechenizkiy, RSJ Baker CRC press, 2010	478	2010
Diversity in search strategies for ensemble feature selection A Tsymbal, M Pechenizkiy, P Cunningham Information fusion 6 (1), 83-98, 2005	332	2005
AH 12 years later: a comprehensive survey of adaptive hypermedia methods and techniques E Knutov, P De Bra, M Pechenizkiy New review of hypermedia and multimedia 15 (1), 5-38, 2009	250	2009
Dynamic integration of classifiers for handling concept drift A Tsymbal, M Pechenizkiy, P Cunningham, S Puuronen Information fusion 9 (1), 56-68, 2008	241	2008
Discrimination aware decision tree learning F Kamiran, T Calders, M Pechenizkiy 2010 IEEE International Conference on Data Mining, 869-874, 2010	239	2010
What's your current stress level? Detection of stress patterns from GSR sensor data J Bakker, M Pechenizkiy, N Sidorova 2011 IEEE 11th international conference on data mining workshops, 573-580, 2011	233	2011
Building classifiers with independency constraints T Calders, F Kamiran, M Pechenizkiy 2009 IEEE International Conference on Data Mining Workshops, 13-18, 2009	228	2009
Handling concept drift in process mining RPJC Bose, WMP van der Aalst, I Žliobaitė, M Pechenizkiy International Conference on Advanced Information Systems Engineering, 391-405, 2011	210	2011
An overview of concept drift applications I Žliobaitė, M Pechenizkiy, J Gama Big data analysis: new algorithms for a new society, 91-114, 2016	202	2016
Stress detection from speech and galvanic skin response signals H Kurniawan, AV Maslov, M Pechenizkiy Proceedings of the 26th IEEE International Symposium on Computer-Based …, 2013	169	2013
Dealing with concept drifts in process mining RPJC Bose, WMP Van Der Aalst, I Žliobaitė, M Pechenizkiy IEEE transactions on neural networks and learning systems 25 (1), 154-171, 2013	150	2013
A response time model for bottom-out hints as worked examples B Shih, KR Koedinger, R Scheines Handbook of educational data mining, 201-212, 2011	141	2011
Graph-based n-gram language identification on short texts E Tromp, M Pechenizkiy Proc. 20th Machine Learning conference of Belgium and The Netherlands, 27-34, 2011	137	2011
Introduction to the special section on educational data mining T Calders, M Pechenizkiy Acm Sigkdd Explorations Newsletter 13 (2), 3-6, 2012	101	2012
Dynamic integration with random forests A Tsymbal, M Pechenizkiy, P Cunningham European conference on machine learning, 801-808, 2006	101	2006
Class noise and supervised learning in medical domains: The effect of feature extraction M Pechenizkiy, A Tsymbal, S Puuronen, O Pechenizkiy 19th IEEE symposium on computer-based medical systems (CBMS'06), 708-713, 2006	86	2006
Process mining from educational data N Trcka, M Pechenizkiy, W van der Aalst Handbook of educational data mining, 123-142, 2010	85	2010
Process Mining Online Assessment Data. M Pechenizkiy, N Trcka, E Vasilyeva, W Van der Aalst, P De Bra International Working Group on Educational Data Mining, 2009	81	2009

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors