Periklis Andritsos
Periklis Andritsos
Faculty of Information
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Cited by
Cited by
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
Information-theoretic software clustering
P Andritsos, V Tzerpos
IEEE Transactions on Software Engineering 31 (2), 150-165, 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
Overview and semantic issues of text mining
A Stavrianou, P Andritsos, N Nicoloyannis
ACM Sigmod Record 36 (3), 23-34, 2007
Data clustering techniques
P Andritsos
Rapport technique, University of Toronto. Department of Computer Science, 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
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
A process mining based model for customer journey mapping
G Bernard, P Andritsos
Forum and doctoral consortium papers presented at the 29th International …, 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
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
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
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
Scalable clustering of categorical data and applications
P Andritsos
University of Toronto, 2004
Provenance for Data Mining.
B Glavic, J Siddique, P Andritsos, RJ Miller
TaPP, 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
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
On Schema Discovery
RJ Miller, P Andritsos
IEEE Data Engineering Bulletin 26 (3), 39-44, 2003
Limbo: A scalable algorithm to cluster categorical data
P Andritsos, P Tsaparas, RJ Miller, KC Sevcik
Technical Report, 2003
Schema management
P Andritsos, R Fagin, A Fuxman, LM Haas, MA Hernández, H Ho, ...
Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2002
CJM-ex: Goal-oriented Exploration of Customer Journey Maps using Event Logs and Data Analytics.
G Bernard, P Andritsos
Bpm (demos), 2017
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