Periklis Andritsos

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Renee MillerNortheastern UniversityAdresse e-mail validée de northeastern.edu
Panayiotis TsaparasAssociate Professor, Department of Computer Science and Engineering, University of Ioannina, GreeceAdresse e-mail validée de cs.uoi.gr
Ken SevcikProfessor of Computer Science, University of Toronto
John MylopoulosUniversity of OttawaAdresse e-mail validée de cs.toronto.edu
Yannis VelegrakisProfessor of Computer Science, Utrecht UniversityAdresse e-mail validée de uu.nl
Johann GamperFree University of Bozen-BolzanoAdresse e-mail validée de inf.unibz.it
Boualem Benatallah, FIEEEDCU, DublinAdresse e-mail validée de dcu.ie
Fabio CasatiUniversity of TrentoAdresse e-mail validée de unitn.it
Themis PalpanasDistinguished Professor, University Paris Cite, French University Institute (IUF)Adresse e-mail validée de mi.parisdescartes.fr
Anastasios KementsietsidisGoogle ResearchAdresse e-mail validée de google.com
Erkang ZhuMicrosoft Research, University of TorontoAdresse e-mail validée de microsoft.com
Sven HelmerSenior Research Associate, University of ZurichAdresse e-mail validée de ifi.uzh.ch
Alexander LöserProfessor for Data Science and Text-based Information SystemsAdresse e-mail validée de bht-berlin.de
Lucian PopaIBM Almaden Research CenterAdresse e-mail validée de us.ibm.com
Felix NaumannHasso Plattner Institute, University of PotsdamAdresse e-mail validée de hpi.de
Ronald FaginIBM Almaden Research CenterAdresse e-mail validée de us.ibm.com
Boris GlavicAssociate Professor, Illinois Institute of TechnologyAdresse e-mail validée de iit.edu
Fei ChiangMcMaster UniversityAdresse e-mail validée de mcmaster.ca
Emmanuel MüllerProfessor of Computer Science, Technical University of DortmundAdresse e-mail validée de cs.tu-dortmund.de
Vítor E. Silva SouzaFederal University of Espírito Santo, BrazilAdresse e-mail validée de ufes.br

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Periklis Andritsos

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Adresse e-mail validée de utoronto.ca - Page d'accueil

Big Data Clustering Information Extraction Schema/Structure Discovery


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
LIMBO: Scalable clustering of categorical data P Andritsos, P Tsaparas, RJ Miller, KC Sevcik Advances in Database Technology-EDBT 2004: 9th International Conference on …, 2004	325	2004
Information-theoretic software clustering P Andritsos, V Tzerpos IEEE Transactions on Software Engineering 31 (2), 150-165, 2005	298	2005
Clean answers over dirty databases: A probabilistic approach P Andritsos, A Fuxman, RJ Miller 22nd International Conference on Data Engineering (ICDE'06), 30-30, 2006	261	2006
Overview and semantic issues of text mining A Stavrianou, P Andritsos, N Nicoloyannis ACM Sigmod Record 36 (3), 23-34, 2007	251	2007
Information-theoretic tools for mining database structure from large data sets P Andritsos, RJ Miller, P Tsaparas Proceedings of the 2004 ACM SIGMOD international conference on Management of …, 2004	97	2004
Data clustering techniques P Andritsos Rapport technique, University of Toronto. Department of Computer Science, 2002	97	2002
Clustering categorical data based on information loss minimization P Andritsos, P Tsaparas, RJ Miller, KC Sevcik Proc. of the 2nd Hellenic Data Management Symposium (HDMS’03), 2003	84	2003
A process mining based model for customer journey mapping G Bernard, P Andritsos Forum and doctoral consortium papers presented at the 29th International …, 2017	63	2017
Efficient itinerary planning with category constraints P Bolzoni, S Helmer, K Wellenzohn, J Gamper, P Andritsos Proceedings of the 22nd ACM SIGSPATIAL international conference on advances …, 2014	45	2014
Improving the build architecture of legacy C/C++ software systems H Dayani-Fard, Y Yu, J Mylopoulos, P Andritsos Fundamental Approaches to Software Engineering: 8th International Conference …, 2005	34	2005
Making Open Data Transparent: Data Discovery on Open Data. RJ Miller, F Nargesian, E Zhu, C Christodoulakis, KQ Pu, P Andritsos IEEE Data Eng. Bull. 41 (2), 59-70, 2018	32	2018
Reducing build time through precompilations for evolving large software Y Yu, H Dayani-Fard, J Mylopoulos, P Andritsos 21st IEEE International Conference on Software Maintenance (ICSM'05), 59-68, 2005	32	2005
Scalable clustering of categorical data and applications P Andritsos University of Toronto, 2004	25	2004
Provenance for Data Mining. B Glavic, J Siddique, P Andritsos, RJ Miller TaPP, 2013	24	2013
Entity data management in OKKAM T Palpanas, J Chaudhry, P Andritsos, Y Velegrakis 2008 19th International Workshop on Database and Expert Systems Applications …, 2008	24	2008
Process spaceship: discovering and exploring process views from event logs in data spaces H Motahari, B Benatallah, R Saint-Paul, F Casati, P Andritsos Proceedings of the VLDB Endowment 1 (2), 1412-1415, 2008	24	2008
On Schema Discovery RJ Miller, P Andritsos IEEE Data Engineering Bulletin 26 (3), 39-44, 2003	24	2003
Limbo: A scalable algorithm to cluster categorical data P Andritsos, P Tsaparas, RJ Miller, KC Sevcik Technical Report, 2003	24	2003
Schema management P Andritsos, R Fagin, A Fuxman, LM Haas, MA Hernández, H Ho, ... Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2002	24	2002
CJM-ex: Goal-oriented Exploration of Customer Journey Maps using Event Logs and Data Analytics. G Bernard, P Andritsos Bpm (demos), 2017	21	2017

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