Periklis Andritsos

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Renee MillerNortheastern UniversityVerified email at northeastern.edu
Panayiotis TsaparasAssociate Professor, Department of Computer Science and Engineering, University of Ioannina, GreeceVerified email at cs.uoi.gr
Ken SevcikProfessor of Computer Science, University of Toronto
John MylopoulosUniversity of OttawaVerified email at cs.toronto.edu
Yannis VelegrakisProfessor of Computer Science, Utrecht UniversityVerified email at uu.nl
Johann GamperFree University of Bozen-BolzanoVerified email at inf.unibz.it
Boualem Benatallah, FIEEEDCU, DublinVerified email at dcu.ie
Fabio CasatiUniversity of TrentoVerified email at unitn.it
Themis PalpanasDistinguished Professor, University Paris Cite, French University Institute (IUF)Verified email at mi.parisdescartes.fr
Anastasios KementsietsidisGoogle ResearchVerified email at google.com
Erkang ZhuMicrosoft Research, University of TorontoVerified email at microsoft.com
Sven HelmerSenior Research Associate, University of ZurichVerified email at ifi.uzh.ch
Alexander LöserProfessor for Data Science and Text-based Information SystemsVerified email at bht-berlin.de
Lucian PopaIBM Almaden Research CenterVerified email at us.ibm.com
Felix NaumannHasso Plattner Institute, University of PotsdamVerified email at hpi.de
Ronald FaginIBM Almaden Research CenterVerified email at us.ibm.com
Boris GlavicAssociate Professor, Illinois Institute of TechnologyVerified email at iit.edu
Fei ChiangMcMaster UniversityVerified email at mcmaster.ca
Emmanuel MüllerProfessor of Computer Science, Technical University of DortmundVerified email at cs.tu-dortmund.de
Vítor E. Silva SouzaFederal University of Espírito Santo, BrazilVerified email at ufes.br

Periklis Andritsos

Faculty of Information

Verified email at utoronto.ca - Homepage

Big Data Clustering Information Extraction Schema/Structure Discovery


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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	330	2004
Information-theoretic software clustering P Andritsos, V Tzerpos IEEE Transactions on Software Engineering 31 (2), 150-165, 2005	302	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	262	2006
Overview and semantic issues of text mining A Stavrianou, P Andritsos, N Nicoloyannis ACM Sigmod Record 36 (3), 23-34, 2007	251	2007
Data clustering techniques P Andritsos Rapport technique, University of Toronto. Department of Computer Science, 2002	98	2002
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
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	46	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	33	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	22	2017

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