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Periklis Andritsos
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2020 – today
- 2021
- [c38]Gaël Bernard
, Arik Senderovich, Periklis Andritsos:
Cut to the Trace! Process-Aware Partitioning of Long-Running Cases in Customer Journey Logs. CAiSE 2021: 519-535 - [c37]Gaël Bernard
Selecting Representative Sample Traces from Large Event Logs. ICPM 2021: 56-63 - [c36]Niel Chah, Periklis Andritsos:
The Lay of the Land: Data Visualizations of the Language Data and Domains of Wikidata. ISWC (Posters/Demos/Industry) 2021 - [c35]Niel Chah, Periklis Andritsos:
WikiMetaData Studio: Dashboards From Data Profiling the Languages, Properties, and Items of Wikidata. Wikidata@ISWC 2021 - 2020
- [c34]Gaël Bernard
Truncated Trace Classifier. Removal of Incomplete Traces from Event Logs. BPMDS/EMMSAD@CAiSE 2020: 150-165
2010 – 2019
- 2019
- [c33]Gaël Bernard
Accurate and Transparent Path Prediction Using Process Mining. ADBIS 2019: 235-250 - [c32]Gaël Bernard
Contextual and Behavioral Customer Journey Discovery Using a Genetic Approach. ADBIS 2019: 251-266 - [c31]Gaël Bernard
Discovering Customer Journeys from Evidence: A Genetic Approach Inspired by Process Mining. CAiSE Forum 2019: 36-47 - [c30]Ehsan Noei, Kelly A. Lyons, Eleni Stroulia, Periklis Andritsos:
Fourth annual workshop on data-driven knowledge mobilization. CASCON 2019: 378-379 - 2018
- [j10]Renée J. Miller, Fatemeh Nargesian, Erkang Zhu, Christina Christodoulakis, Ken Q. Pu, Periklis Andritsos:
Making Open Data Transparent: Data Discovery on Open Data. IEEE Data Eng. Bull. 41(2): 59-70 (2018) - [c29]Gaël Bernard
CJM-ab: Abstracting Customer Journey Maps Using Process Mining. CAiSE Forum 2018: 49-56 - 2017
- [j9]Natasa Tagasovska, Periklis Andritsos:
Distributed clustering of categorical data using the information bottleneck framework. Inf. Syst. 72: 161-178 (2017) - [c28]Gaël Bernard, Periklis Andritsos:
CJM-ex: Goal-oriented Exploration of Customer Journey Maps using Event Logs and Data Analytics. BPM (Demos) 2017 - [c27]Gaël Bernard, Periklis Andritsos:
A Process Mining Based Model for Customer Journey Mapping. CAiSE-Forum-DC 2017: 49-56 - [c26]Periklis Andritsos:
Reconstructing databases: instance-based structure discovery using reconstructability analysis. CASCON 2017: 279-284 - [c25]Bertil Chapuis, Benoît Garbinato
An Efficient Type-Agnostic Approach for Finding Sub-sequences in Data. HPCC/SmartCity/DSS 2017: 270-277 - [c24]Matthieu Harbich, Gaël Bernard, Pietro Berkes, Benoît Garbinato, Periklis Andritsos:
Discovering Customer Journey Maps using a Mixture of Markov Models. SIMPDA 2017: 3-7 - [e1]Volker Markl, Salvatore Orlando, Bernhard Mitschang, Periklis Andritsos, Kai-Uwe Sattler, Sebastian Breß:
Proceedings of the 20th International Conference on Extending Database Technology, EDBT 2017, Venice, Italy, March 21-24, 2017. OpenProceedings.org 2017, ISBN 978-3-89318-073-8 [contents] - [r2]Periklis Andritsos, Panayiotis Tsaparas:
Categorical Data Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 188-193 - 2016
- [j8]Fei Chiang, Periklis Andritsos, Renée J. Miller:
Data Driven Discovery of Attribute Dictionaries. Trans. Comput. Collect. Intell. 21: 69-96 (2016) - [c23]Bertil Chapuis, Benoît Garbinato, Periklis Andritsos:
Throughput: A Key Performance Measure of Content-Defined Chunking Algorithms. ICDCS Workshops 2016: 7-12 - [c22]Gaël Bernard, Thomas Boillat, Christine Legner, Periklis Andritsos:
When Sales Meet Process Mining: A Scientific Approach to Sales Process and Performance Management. ICIS 2016 - 2015
- [j7]Torsten Kilias, Alexander Löser
INDREX: In-database relation extraction. Inf. Syst. 53: 124-144 (2015) - 2014
- [c21]Paolo Bolzoni, Sven Helmer
Efficient itinerary planning with category constraints. SIGSPATIAL/GIS 2014: 203-212 - [c20]Saeideh Hamidi, Periklis Andritsos, Sotirios Liaskos:
Constructing adaptive configuration dialogs using crowd data. ASE 2014: 485-490 - [c19]Hoang Vu Nguyen, Emmanuel Müller
Detecting correlated columns in relational databases with mixed data types. SSDBM 2014: 30:1-30:12 - [c18]Marie Hoffmann, Alexander Alexandrov, Periklis Andritsos, Juan Soto
Composite Key Generation on a Shared-Nothing Architecture. TPCTC 2014: 188-203 - 2013
- [c17]Torsten Kilias, Alexander Löser
INDREX: in-database distributional relation extraction. DOLAP 2013: 93-100 - [c16]Boris Glavic, Javed Siddique, Periklis Andritsos, Renée J. Miller:
Provenance for Data Mining. TaPP 2013 - 2012
- [c15]Arthur Pitman, Markus Zanker
Individualized Hiking Time Estimation. DEXA Workshops 2012: 101-105 - [c14]Fei Chiang, Periklis Andritsos, Erkang Zhu, Renée J. Miller:
AutoDict: Automated Dictionary Discovery. ICDE 2012: 1277-1280 - 2010
- [c13]Juozas Gordevicius, Francisco J. Estrada, Hyun Chul Lee, Periklis Andritsos, Johann Gamper
Ranking of evolving stories through meta-aggregation. CIKM 2010: 1909-1912 - [r1]Periklis Andritsos, Panayiotis Tsaparas:
Categorical Data Clustering. Encyclopedia of Machine Learning 2010: 154-159
2000 – 2009
- 2008
- [j6]Hamid R. Motahari Nezhad, Boualem Benatallah
Process spaceship: discovering and exploring process views from event logs in data spaces. Proc. VLDB Endow. 1(2): 1412-1415 (2008) - [c12]Themis Palpanas, Junaid Ahsenali Chaudhry, Periklis Andritsos, Yannis Velegrakis
Entity Data Management in OKKAM. DEXA Workshops 2008: 729-733 - [c11]Junaid Ahsenali Chaudhry, Themis Palpanas, Periklis Andritsos, Antonio Maña:
Entity Lifecycle Management for OKKAM. IRSW 2008 - [c10]Hamid R. Motahari Nezhad, Boualem Benatallah, Fabio Casati, Régis Saint-Paul, Periklis Andritsos, Adnene Guabtni:
Exploration of Discovered Process Views in Process Spaceship. ICSOC 2008: 724-725 - [c9]Vítor Estêvão Silva Souza
Automating the Generation of Semantic Annotation Tools Using a Clustering Technique. NLDB 2008: 91-96 - 2007
- [j5]Anna Stavrianou, Periklis Andritsos, Nicolas Nicoloyannis:
Overview and semantic issues of text mining. SIGMOD Rec. 36(3): 23-34 (2007) - 2006
- [c8]Periklis Andritsos, Ariel Fuxman, Renée J. Miller:
Clean Answers over Dirty Databases: A Probabilistic Approach. ICDE 2006: 30 - 2005
- [j4]Periklis Andritsos, Vassilios Tzerpos:
Information-Theoretic Software Clustering. IEEE Trans. Software Eng. 31(2): 150-165 (2005) - [c7]Homayoun Dayani-Fard, Yijun Yu
Improving the Build Architecture of Legacy C/C++ Software Systems. FASE 2005: 96-110 - [c6]Yijun Yu
Reducing Build Time through Precompilations for Evolving Large Software. ICSM 2005: 59-68 - 2004
- [b1]Periklis Andritsos:
Scalable clustering of categorical data and applications. University of Toronto, Canada, 2004 - [j3]Periklis Andritsos, Ariel Fuxman, Anastasios Kementsietsidis, Renée J. Miller, Yannis Velegrakis:
Kanata: Adaptation and Evolution in Data Sharing Systems. SIGMOD Rec. 33(4): 32-37 (2004) - [c5]Periklis Andritsos, Panayiotis Tsaparas, Renée J. Miller, Kenneth C. Sevcik:
LIMBO: Scalable Clustering of Categorical Data. EDBT 2004: 123-146 - [c4]Periklis Andritsos, Renée J. Miller, Panayiotis Tsaparas
Information-Theoretic Tools for Mining Database Structure from Large Data Sets. SIGMOD Conference 2004: 731-742 - 2003
- [j2]Renée J. Miller, Periklis Andritsos:
Schema Discovery. IEEE Data Eng. Bull. 26(3): 40-45 (2003) - [c3]Periklis Andritsos, Renée J. Miller:
Using Categorical Clustering in Schema Discovery. IIWeb 2003: 211 - [c2]Periklis Andritsos, Vassilios Tzerpos:
Software Clustering based on Information Loss Minimization. WCRE 2003: 334-344 - 2002
- [j1]Periklis Andritsos, Ronald Fagin, Ariel Fuxman, Laura M. Haas, Mauricio A. Hernández, C. T. Howard Ho, Anastasios Kementsietsidis, Renée J. Miller, Felix Naumann, Lucian Popa, Yannis Velegrakis, Charlotte Vilarem, Ling-Ling Yan:
Schema Management. IEEE Data Eng. Bull. 25(3): 32-38 (2002) - 2001
- [c1]Periklis Andritsos, Renée J. Miller:
Reverse Engineering Meets Data Analysis. IWPC 2001: 157-166
Coauthor Index
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