Publications

2020

  • A. Abolfazli, E. Ntoutsi "Drift-Aware Multi-Memory Model for Imbalanced Data Streams", IEEE Big Data 2020.[local copy] [bib] [code]
  • C. Beyer, V. Unnikrishnan, R. Brüggemann, V. Toulouse, H.-K. Omar, E. Ntoutsi, M. Spiliopoulou "Resource management for model learning at entity level", Annals of Telecommunications, 2020. https://doi.org/10.1007/s12243-020-00775-2. [local copy] [bib]
  • C. Beyer, M. Büttner, V. Unnikrishnan, M. Schleicher, E. Ntoutsi, M. Spiliopoulou "Active feature acquisition on data streams under feature drift", Annals of Telecommunications, 2020. https://doi.org/10.1007/s12243-020-00775-2. [local copy][bib]
  • V. Iosifidis, E. Ntoutsi, "FABBOO - Online Fairness-aware Learning under Class Imbalance", Discovery Science (DS), 2020. [local copy] .
  • T. Hu, V. Iosifidis, W. Liao, H. Zang, M. Yang, E. Ntoutsi,B. Rosenhahn, "FairNN - Conjoint Learning of Fair Representations for Fair Decisions", Discovery Science (DS), 2020. [local copy] .
  • B. Askari, T. Le-Quy, E. Ntoutsi, "Taxi Demand Prediction using an LSTM-based Deep Sequence Model and Points of Interest", 2nd Workshop on Smart & Sustainable Mobility & Logistics in Smart Cities, co-located with IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), 2020. [local copy] .
  • B. Berendt, F. Gandon, S. Halford, W. Hall, J. Hendler, K. Kinder-Kurlanda, E. Ntoutsi, S. Staab, "Web Futures: Inclusive, Intelligent, Sustainable A Manifesto for Web Science", Manifesto from Dagstuhl Perspectives Workshop 18262, 2020. [local copy] .
  • E. Ntoutsi, P. Fafalios, U. Gadiraju, V. Iosifidis, W. Nejdl, M.-E. Vidal, S. Ruggieri, F. Turini, S. Papadopoulos, E. Krasanakis, I. Kompatsiaris, K. Kinder-Kurlanda, C. Wagner, F. Karimi, M. Fernandez, H. Alani, B. Berendt, T. Kruegel, C. Heinze, K. Broelemann, G. Kasneci, T. Tiropanis, S. Staab"Bias in data-driven artificial intelligence systems—An introductory survey", WIREs Data Mining and Knowledge Discovery, 2020. [local copy] .

    2019

  • V. Iosifidis, B. Fetahu, E. Ntoutsi, "FAE: A Fairness-Aware Ensemble Framework", IEEE International Conference on Big Data (Big Data 2019) (to appear).
  • E. Ntoutsi, E. Schubert, A. Zimek, A. Zimmermann, "Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML)", co-located with SIAM Data Mining (SDM 2019)[local copy] [DBLP entry].
  • V. Iosifidis, E. Ntoutsi, "AdaFair: Cumulative Fairness Adaptive Boosting", ACM International Conference on Information and Knowledge Management (CIKM 2019)[local copy][presentation][poster] [bib][code].
  • V. Iosifidis, E. Ntoutsi, "Sentiment Analysis on Big Sparse Data Streams with Limited Labels", Knowledge and Information Systems (KAIS) journal. [local copy][bib]
  • R. Shivakumaraswamy, C. Beyer, V. Unnikrishnan, E. Ntoutsi, M. Spiliopoulou "Active Feature Acquisition For Opinion Stream Classification Under Drift", Workshop on Interactive Adaptive Learning (IAL2019), co-located with ECML PKDD 2019 (to appear).
  • T. Le Quy, W. Nejdl, M. Spiliopoulou, E. Ntoutsi, "A Neighborhood-augmented LSTM Model forTaxi-Passenger Demand Prediction", Workshop on Multiple-aspect Analysis of Semantic Trajectories (MASTER 2019), co-located with ECML PKDD 2019 [local copy] [bib]
  • V. Iosifidis, H. Tran, E. Ntoutsi, "Fairness-enhancing interventions in stream classification", 30th International Conference on Databases and Expert Systems Applications (DEXA), 2019. [local copy][ppt][bib].
  • W. Zhang, E. Ntoutsi, "An Adaptive Fairness-aware Decision Tree Classifier", International Joint Conference on Artificial Intelligence (IJCAI), 2019. [local copy][ppt][bib][code].
  • S. Halford, J. Hendler, E. Ntoutsi, S. Staab, "10 Years of Web Science: Closing The Loop (Dagstuhl Perspectives Workshop 18262)", Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik.[local copy][bib]
  • V. Unnikrishnan, C. Beyer, U. Niemann, P. Matuszyk, R. Pryss, W. Schlee, E. Ntoutsi, M. Spiliopoulou, "Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity", International Journal of Data Science and Analytics, 1-15, 2019. [local copy][bib]
  • C. Beyer, V. Unnikrishnan,U. Niemann, P. Matuszyk, E. Ntoutsi and M. Spiliopoulou, "Exploiting Entity Information for Stream Classification over a Stream of Reviews", ACM SAC Data Streams track, 2019.
  • M. Mauder, E. Ntoutsi, P. Kröger, C. Mayr, A. Toncala, S. Hölzl, G. Grupe, "Significance and limitations of stable oxygen isotope ratios in the apatite phosphate of archaeological vertebrate finds for provenance analysis in an alpine reference region", Archaeometry 61, no. 1 (2019): 194-210.

    2018

  • P. Fafalios, V. Iosifidis, K. Stefanidis, E. Ntoutsi, "Tracking the History and Evolution of Entities: Entity-centric Temporal Analysis of Large Social Media Archives.", Springer International Journal on Digital Libraries (IJDL). [local copy] [bib]
  • C. Blake, E. Ntoutsi, "Reinforcement Learning Based Decision Tree Induction over Data Streams with Concept Drifts", IEEE ICBK, 2018. Best Student Paper Award . [local copy] [bib]
  • D. Melidis, M. Spiliopoulou, E. Ntoutsi, "Learning under Feature Drifts in Textual Streams", CIKM, 2018. [local copy][bib]
  • V. Unnikrishnan, C. Beyer, U. Niemann, P. Matuszyk, R. Pryss, W. Schlee, E. Ntoutsi and M. Spiliopoulou, "Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Next Observation Referring to an Entity", IEEE DSAA, 2018. [local copy][bib]
  • S. Mansalis, E.Ntoutsi, N. Pelekis, Y. Theodoridis, "An Evaluation of Data Stream Clustering Algorithms", Statistical Analysis and Data Mining journal (DOI: 10.1002/sam.11380). [local copy] [bib]
  • D. Melidis, A. Veizaga Campero, V. Iosifidis, E. Ntoutsi, M. Spiliopoulou, "Enriching Lexicons with Ephemeral Words for Sentiment Analysis in Social Streams", WIMS 2018. [local copy]
  • V. Iosifidis, E. Ntoutsi, "Dealing with Bias via Data Augmentation in Supervised Learning Scenarios", BIAS workshop in conjunction with iConference 2018. [local copy] [bib]
  • P. Fafalios, V. Iosifidis, E. Ntoutsi, S. Dietze, "TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets", ESWC, 2018. [local copy] [bib]
  • T. Le Quy, S. Zerr, E. Ntoutsi, W. Nejdl, "Data augmentation for dealing with low sampling rates in NILM", NILM, Austin, Texas, 2018.
  • C. Beyer, U. Niemann, V. Unnikrishnan, E. Ntoutsi, M. Spiliopoulou, "Predicting Document Polarities on a Stream without Reading their Contents", SAC Data Streams track, Pau, France, 2018. [local copy] [bib]

    2017

  • V. Iosifidis, E. Ntoutsi, "Large scale sentiment annotation with limited labels", KDD, Halifax, Canada, 2017. [local copy][bib]
  • V. Iosifidis, E. Ntoutsi, "Sentiment Classification over Opinionated Data Streams through Informed Model Adaptation", TPDL, Thessaloniki, Greece, 2017. [local copy] [bib]
  • P. Fafalios, V. Iosifidis, K. Stefanidis, E. Ntoutsi, "Multi-aspect Entity-centric Analysis of Big Social Media Archives", TPDL, Thessaloniki, Greece, 2017. [local copy]
  • K. Stefanidis, E. Ntoutsi, H. Kondylakis, Y. Velegrakis, "Social based collaborative filtering", Encyclopedia of Social Network Analysis and Mining, 2017.
  • D. Basaran, E. Ntoutsi, A. Zimek, "Redundancies in Data and their Effect on the Evaluation of Recommendation Systems: A Case Study on the Amazon Reviews Datasets.", SDM, Houston, Texas, 2017. [local copy][poster]
  • M. Mauder, E. Ntoutsi, P. Kröger, H.-P. Kriegel (2017) "The Isotopic Fingerprint: New Methods of Data Mining and Similarity Search." In: Grupe G., Grigat A., McGlynn G. (eds) Across the Alps in Prehistory. Springer, Cham.

    2016

  • O. Backhoff, E. Ntoutsi, "Scalable Online-Offline Stream Clustering in Apache Spark.", ICDM Workshop DMIoT (Data Mining for Internet of Things) , Barcelona, Spain, 2016. [local copy]
  • E. Ntoutsi, K. Stefanidis, "Recommendations beyond the Ratings Matrix", Proceedings of the Data-Driven Innovation Workshop, Web Science, 2016. [local copy]
  • M. Spiliopoulou, E. Ntoutsi, M. Zimmerman. "Opinion Stream Mining", Encyclopedia of Machine Learning and Data Mining, 2016 doi.
  • M. Mauder, E. Ntoutsi, P. Kroeger, C. Mayr, G. Grupe, A. Toncala, S. Hoelzl, "Applying Data Mining Methods for the Analysis of Stable Isotope Data in Bioarchaeology.", IEEE e-Science, Baltimore, Maryland, 2016. [local copy]
  • M. Mauder, Y. Bobkova, E. Ntoutsi, "GMMbuilder: User-Driven Discovery of Clustering Structure for Bioarchaeology.", ECML-PKDD, Italy, 2016. [local copy]
  • N. Mitsou, S. Khan, E. Ntoutsi, D. Wollherr, C. Tzafestas, H.-P. Kriegel, "An Uncertain 3d Grid Formulation for Indoor Environment Mapping.", IEEE International Conference on Advanced Intelligent Mechatronics AIM, Banff, Alberta, Canada, 2016. [local copy]
  • K. Stefanidis, E. Ntoutsi, "Cluster-based Contextual Recommendations.", International Conference on Extending Database Technology EDBT, Bordeaux, France, 2016. [local copy]
  • M. Zimmerman, E. Ntoutsi, M. Spiliopoulou. "Extracting opinionated (sub)features from a stream of product reviews using accumulated novelty and internal hierarchy re-organization", Information Sciences, Special Issue on Discovery Science, Elsevier, 329: 876-899, 2016. [local copy]

    2015

  • S. Wagner, M. Zimmermann, E. Ntoutsi, M. Spiliopoulou, "Ageing-based Multinomial Naive Bayes Classifiers over Opinionated Data Streams.", European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECMLPKDD), Porto, Portugal, September 7-11, 2015. [local copy]
  • M. Zimmerman, E. Ntoutsi, M. Spiliopoulou. "Discovering and Monitoring Product Features and the Opinions on them with OPINSTREAM", Neurocomputing 150: 318-330, 2015. [local copy]
  • M. Stockerl, C. Ringlstetter, M. Schubert, E. Ntoutsi, H.-P. Kriegel, "Online template matching over a stream of digitized documents.", 27th International Conference on Scientific and Statistical Database Management (SSDBM), San Diego, California, USA, June 29-July 1, 2015. [local copy]
  • V. Efthymiou, K. Stefanidis, E. Ntoutsi, "Top-k Computations in MapReduce: A Case Study on Recommendations.", IEEE International Conference on Big Data (IEEE Big Data 2015), Santa Clara, CA, USA, 2015.
  • M. Mauder, E. Ntoutsi, P. Kroeger, G. Grupe, "Data Mining for Isotopic Mapping of Bioarchaeological Finds in a Central European Alpine Passage.", 27th International Conference on Scientific and Statistical Database Management (SSDBM), San Diego, California, USA, June 29-July 1, 2015. [local copy]
  • M. Zimmermann, E. Ntoutsi, M. Spiliopoulou, "Incremental Active Opinion Learning Over a Stream of Polarized Documents.", WISDOM (Workshop on Issues of Sentiment Discovery and Opinion Mining) workshop, in conjunction with KDD 2015, Sydney, Australia. [local copy]
  • K. Stefanidis, E. Ntoutsi and H. Kondylakis, "Information Hunting: The Many Faces of Recommendations for Data Exploration", Blog post, SIGMOD blog, online March 10, 2015.

    2014

  • E. Ntoutsi, K. Stefanidis, K. Rausch, H-P. Kriegel ""Strength Lies in Differences" - Diversifying Friends for Recommendations through Subspace Clustering.", 23rd ACM International Conference on Information and Knowledge Management (CIKM), Shanghai, China, November 3- 7, 2014. [local copy]
  • M. Zimmermann, E. Ntoutsi, M. Spiliopoulou, "A Semi-supervised Self-Adaptive Classifier over Opinionated Streams.", Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE) workshop, in conjunction with ICDM 2014, Shenzhen, China, December 14-17, 2014. [local copy]
  • K. Rausch, E. Ntoutsi, K. Stefanidis, H-P. Kriegel. "Exploring Subspace Clustering for Recommendations.", 26th International Conference on Scientific and Statistical Database Management (SSDBM), Aalborg, Denmark, June 30-July 2, 2014. [local copy] [poster]
  • M. Mauder, E. Ntoutsi, P. Kroeger. "The effect of oxygen on the stability of patterns extracted from isotope data.", CAA Germany - CAA Netherlands Flanders Third Joint Chapter Meeting (CAA), Cologne, Germany, October 3-4, 2014.
  • M. Zimmermann, E. Ntoutsi, M. Spiliopoulou. "Adaptive Semi Supervised Opinion Classifier With Forgetting Mechanism.", (Data Streams track), in conjunction with SAC 2014, Gyeongju, Korea, March 24-28, 2014. [local copy]
  • M. Mauder, E. Ntoutsi, G. Grupe, P. Kroeger. "Empirically exploring the effect of oxygen on the isotopic mapping of cremated and uncremated bones of a Central European Alpine passage.", 6th International Symposium on Biomolecular Archaeology (ISBA), Basel, Switcherland, August 27-30, 2014. [abstract][ppt]
  • M. Mauder, E. Ntoutsi and P. Kroeger, "Influence of Oxygen Isotope Ratio on Classification", Technical Report, Transalpine mobility and cultural transfer project, ArchaeoBioCenter, LMU, . [local copy] [project www]
  • M. Zimmermann, E. Ntoutsi, M. Spiliopoulou. "The OPINSTREAM framework.", 12th Hellenic Data Management Symposium (HDMS), Athens, Greece, July 24-25, 2014. [ppt]
  • K. Rausch, E. Ntoutsi, K. Stefanidis, H-P. Kriegel. "Recommendations through subspace clustering", 12th Hellenic Data Management Symposium (HDMS), Athens, Greece, July 24-25, 2014. [ppt]

    2013

  • M. Spiliopoulou, E. Ntoutsi, Y. Theodoridis and R. Schult " MONIC and Followups on Modeling and Monitoring Cluster Transitions.", European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Nectar track (ECML-PKDD), September 23-27, Prague, Czech Republic, 2013. [local copy]
  • M. Zimmermann, E. Ntoutsi, M. Spiliopoulou. "Extracting opinionated (sub)features from a stream of product reviews.", Sixteenth International Conference on Discovery Science (DS 2013), October 6-9, 2013, Singapore. [local copy]
  • K. Stefanidis, E. Ntoutsi, M. Petropoulos, K. Norvag, and H-P. Kriegel. "A Framework for Modeling, Computing and Presenting Time-aware Recommendations", Transactions on Large-Scale Data and Knowledge-Centered Systems (TLDKS Journal), Springer, 2013. [local copy]
  • H-P. Kriegel, E. Ntoutsi. "Clustering high dimensional data: Examining differences and commonalities between subspace clustering and text clustering - A position paper", ACM SIGKKD Explorations Newsletter, Volume 15 Issue 2, December 2013. [local copy]

    2012

  • E. Ntoutsi, A. Zimek, T. Palpanas, P. Kroeger, H-P. Kriegel "Density-based Projected Clustering over High Dimensional Data Streams", SIAM International Conference on Data Mining (SDM12), Anaheim, California, USA, 2012. [local copy][poster]
  • E. Ntoutsi, K. Stefanidis, K. Norvag, H-P. Kriegel, "gRecs: A Group Recommendation System based on User Clustering", DASFAA 2012, Busan, South Korea, 2012. [local copy]
  • E. Ntoutsi, K. Stefanidis, K. Norvag and H. P. Kriegel "Fast Group Recommendations by Applying User Clustering.", International Conference on Conceptual Modelling (ER 2012), October 15-18, 2012, Florence, Italy. [local copy]
  • M. Zimmermann, E. Ntoutsi, Z-F. Siddiqui, M. Spiliopoulou, H-P. Kriegel "Discovering Global and Local Bursts in a Stream of News Data", Data Streams track, in conjunction with SAC 2012, Trento, Italy, 2012. [local copy]
  • E. Ntoutsi, M. Spiliopoulou, Y. Theodoridis "FINGERPRINT - Summarizing Cluster Evolution in Dynamic Environments", International Journal of Data Warehousing and Mining (IJDWM), 8(3):27-45, July-September 2012. Idea Group. [local copy]
  • K. Stefanidis, E. Ntoutsi, K. Norvag and H. P. Kriegel "A Framework for Time-aware Recommendations", International Conference on Database and Expert Systems Applications (DEXA 2012), September 3-7, 2012, Vienna, Austria. [local copy]
  • C. Lauschke, E. Ntoutsi "Monitoring User Evolution in Twitter", IEEE/ACM Workshop on Business Applications of Social Network Analysis (BASNA), in conjunction with ASONAM 2012, Istanbul, Turkey, 2012. [local copy]
  • A. Sinelnikova, E. Ntoutsi and H. P. Kriegel "Sentiment analysis in the Twitter stream", The 36th Annual Conference of the German Classification Society on Data Analysis, Machine Learning and Knowledge Discovery (GfKl 2012), August 1-3, 2012, Hildesheim, Germany.[local copy] [ppt]
  • E. Ntoutsi, K. Stefanidis, K. Norvag and H. P. Kriegel "gRecs: A collaborative Filtering framework for group recommendations.",The 36th Annual Conference of the German Classification Society on Data Analysis, Machine Learning and Knowledge Discovery (GfKl 2012), August 1-3, 2012, Hildesheim, Germany. [local copy][ppt]

    2011

  • H.-P. Kriegel, E. Ntoutsi, A. Zimek, M. Spiliopoulou, G. Tsoumakas, "Mining Complex Dynamic Data", Tutorial, ECML/PKDD 2011, Athens, Greece.
  • H-P. Kriegel, P. Kroger, E. Ntoutsi, A. Zimek "Density Based Subspace Clustering Over Dynamic Data", SSDBM 2011, Portland, Oregon, USA. [local copy] [ppt]
  • N. Mitsou, E. Ntoutsi, D. Wollherr, C. Tzafestas, H-P. Kriegel "Revealing cluster formation over huge volatile robotic data", IEEE Wokshop on Domain Driven Data Mining (DDDM), in conjunction with ICDM 2011, Vancouver, Canada, 2011. [local copy] [ppt]
  • K. Subramani, A. Velkov,E. Ntoutsi, P. Kroeger, H-P. Kriegel "Density-based community detection in social networks", IEEE Workshop on Business Applications of Social Network Analysis (BASNA), in conjunction with IMSAA 2011, Bangalore, India, 2011. [local copy]
  • E. Ntoutsi, M. Spiliopoulou, Y. Theodoridis "Summarizing Cluster Evolution in Dynamic Environments", Proc. of 11th International Conference on Computational Science and Its Applications (ICCSA'11), Santander, Spain, 2011.Springer. [local copy] [ppt]

    2010

  • H-P. Kriegel, P. Kroger, E. Ntoutsi, A. Zimek "Towards Subspace Clustering on Dynamic Data: An Incremental Version of PreDeCon", StreamKDD Workshop, in conjunction with KDD 2010, Washington, DC, 2010. [local copy] [ppt]

    2009

  • I. Bartolini, P. Ciacia, E. Ntoutsi, M. Patella, Y. Theodoridis "The PANDA framework for comparing patterns", Data & Knowledge Engineering, 68(2), 244-260, February 2009. Elsevier Science. [local copy]
  • E. Ntoutsi, M. Spiliopoulou, Y. Theodoridis "Tracing cluster transitions for different cluster types", Control and Cybernetics Journal, 38(1):239-260, 2009. Polish Academy of Sciences. [local copy]

    2008

  • E. Ntoutsi, A. Kalousis, Y. Theodoridis "A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees", SIAM International Conference on Data Mining (SDM08), Atlanta, Georgia, 2008. [local copy]
  • E. Kotsifakos, E. Ntoutsi, Y. Vrahoritis, Y. Theodoridis "PATTERN-MINER: Integrated Management and Mining over Data Mining Models" (Demo), Proc. of 14th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'08), Las Vegas, USA, 2008. [local copy]
  • E. Kotsifakos, E. Ntoutsi, Y. Vrahoritis, Y. Theodoridis "Monitoring Patterns through an Integrated Management and Mining Tool" (Demo), Proc. of Machine Learning and Knowledge Discovery in Databases, European Conference (ECML/PKDD'08), Antwerp, Belgium, 2008. [local copy]
  • N. Pelekis, A. Raffaeta, M.L. Damiani, C. Vangenot, G. Marketos, E. Frentzos, E. Ntoutsi and Y. Theodoridis "Towards Trajectory Data Warehouses", In F. Giannotti and D. Pedreschi (eds), Mobility, Data Mining and Privacy, Springer, 2008.
  • E. Frentzos, N. Pelekis, E. Ntoutsi and Y. Theodoridis "Trajectory Database Systems", In F. Giannotti and D. Pedreschi (eds), Mobility, Data Mining and Privacy, Springer, 2008.
  • J. Macedo, C. Vangenot, W. Othman, N. Pelekis, E. Frentzos, B. Kuijpers, E. Ntoutsi, S. Spaccapietra and Y. Theodoridis "Trajectory data models", In F. Giannotti and D. Pedreschi (eds), Mobility, Data Mining and Privacy, Springer, 2008.
  • G. Marketos, E. Frentzos, E. Ntoutsi, N. Pelekis, A. Raffaeta, Y. Theodoridis "Building Real World Trajectory Warehouses", Proc. 7th International ACM SIGMOD Workshop on Data Engineering for Wireless and Mobile Access (MobiDE'08), Vancouver, Canada, June 2008. [local copy]
  • E. Ntoutsi, N. Mitsou, G. Marketos "Traffic mining in a road-network: How does the traffic flow?", International Journal of Business Intelligence and Data Mining (IJBIDM), Special Issue on "KDD for Decision Making and Optimization", 3(1), 82-98, 2008. [local copy]
  • E. Ntoutsi "Similarity Issues in Data Mining - Methodologies and Techniques". PhD thesis, Department of Informatics, University of Piraeus, Greece, 2008. [local copy] (In Greek also [local copy])
  • E. Ntoutsi, Y. Theodoridis "Comparing datasets using frequent itemsets: Dependency on the mining parameters", Proc. of 5th Hellenic Conference on Artificial Intelligence (SETN'08), Syros, Greece, 2008. [local copy]
  • G. Marketos, E. Frentzos, N. Giatrakos, E. Ntoutsi, N. Pelekis, A. Raffaeta, Y. Theodoridis "A Framework for Trajectory Data Warehousing", Proc. 7th Hellenic Data Management Symposium (HDMS'08), Heraclion, Greece, July 2008.
  • E. Ntoutsi, A. Kalousis, Y. Theodoridis "A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees", 7th Hellenic Data Management Symposium (HDMS'08), Heraclion, Greece, 2008.

    2007

  • N. Pelekis, I. Kopanakis, G. Marketos, E. Ntoutsi, G. Andrienko, Y. Theodoridis "Similarity Search in Trajectory Databases", 14th International Symposium on Temporal Representation and Reasoning (TIME07), Alicante, Spain, 2007. [local copy] .
  • N. Pelekis, I. Kopanakis, E. Ntoutsi, G. Marketos and Y. Theodoridis "Mining Trajectory Databases via a Suite of Distance Operators", Workshop on Spatio-Temporal Data Mining (STDM07), in conjunction with ICDE 2007 Conference, Istanbul, Turkey, 2007 [local copy] [ppt]
  • E. Ntoutsi, N. Pelekis and Y. Theodoridis, "Pattern Comparison in Data Mining: a survey", Research and Trends in Data Mining Technologies and Applications: Advances in Data Warehousing and Mining, Idea Group Publishing, 2007. [local copy]
  • M. Spiliopoulou, E. Ntoutsi, Y. Theodoridis "Tracing Cluster Transitions for Different Cluster Types", 3rd ADBIS Workshop on Data Mining and Knowledge Discovery (ADMKD'07), Varna, Bulgaria, 2007. [local copy]
  • E. Ntoutsi, N. Mitsou, G. Marketos "Traffic mining in a road-network: How does the traffic flow?", "Data Mining and Knowledge Discovery" Stream, in EURO XXII - 2007 European Conference on Operational Research, Prague, Czech Republic, 2007. .
  • M. Spiliopoulou, E. Ntoutsi and Y. Theodoridis, "Tracing Cluster Transitions for Different Cluster Types", UNIPI-ISL-TR-2007-03, Technical Report Series, Information Systems Lab., University of Piraeus, Piraeus, Greece, July 2007. [local copy]
  • E. Ntoutsi and Y. Theodoridis, "The notion of patterns in Data Mining", UNIPI-ISL-TR-2007-02, Technical Report Series, Information Systems Lab., University of Piraeus, Piraeus, Greece, March 2007. [local copy]
  • E. Ntoutsi and Y. Theodoridis, "Pattern Management", UNIPI-ISL-TR-2007-01, Technical Report Series, Information Systems Lab., University of Piraeus, Piraeus, Greece, March 2007. [local copy]

    2006

  • M. Spiliopoulou, E. Ntoutsi, Y. Theodoridis and R. Schult "MONIC - Modeling and Monitoring Cluster Transitions", Proc. of 12th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'06), Philadelphia, USA, 2006. [local copy]
  • M. Spiliopoulou, E. Ntoutsi, Y. Theodoridis and R. Schult "The MONIC framework for Cluster Transition Detection", 5th Hellenic Data Management Symposium (HDMS'06), Thessaloniki, Greece, 2006. [local copy]

    2005

  • M. Spiliopoulou, Y. Theodoridis and E. Ntoutsi, "Mining the Volatile Web", Tutorial, ECML/PKDD, Porto, Portugal, 2005.
  • E. Ntoutsi and Y. Theodoridis, "Measuring and Evaluating Dissimilarity in Data and Pattern Spaces", VLDB Phd Workshop, in conjunction with VLDB 2005 Conference, Trondheim, Norway, 2005. [local copy]
  • E. Kotsifakos, E. Ntoutsi and Y. Theodoridis, "Database Support for Data Mining Patterns", 10th Panhellenic Conference on Informatics (PCI'2005), Volos, Greece, 2005. [local copy]

    2004

  • I. Bartolini, P. Ciaccia, E. Ntoutsi, M. Patella, Y. Theodoridis, "A Unified and Flexible Framework for Comparing Simple and Complex Patterns", PKDD, Pisa, Italy, 2004. [local copy]
  • E. Ntoutsi, "The notion of similarity in data and pattern space", Proceedings of PARMA workshop on Pattern Representation and Management (ParMa' 04), in conjunction with EDBT 2004 Conference, Heraclion, Crete, Greece, 2004. [local copy]

    2003-2000

  • E. Ntoutsi, Y. Theodoridis, "Current Issues in Modeling Data Mining Processes and Results", Proceedings of PANDA Workshop on Pattern-Base Management Systems, Como, Italy, 2003. [local copy]
  • E. Ntoutsi "Data mining from news data and association with real data". MSc thesis, Computer Engineering and Informatics Department (CEID), University of Patras, Greece, 2003. [local copy] (in Greek)
  • D. Kalles and E. Ntoutsi, "Interactive Verification of Game Design and Playing Strategies", 14th IEEE International Conference on Tools with Artificial Intelligence, Washington DC,2002. [local copy]
  • E. Ntoutsi "Modeling and improvement of human ability in strategy games". BSc thesis, Computer Engineering and Informatics Department (CEID), University of Patras, Greece, 2001. [local copy] (in Greek)
  • D. Dadiotis, D. Kalles, E. Ntoutsi, A. Papagelis, "Scalable and interoperable e-commerce infrastructures: The Instant Commerce Server paradigm", PHCI Workshop-Transforming Web Surfers to E-Shoppers, Patras, Greece, 2001. [local copy][ppt]
  • D. Kalles, A. Papagelis, E. Ntoutsi, "Induction of decision trees in numeric domains using set-valued attributes", Intelligent Data Analysis (IDA), 3(4), 323-347, 2000. [local copy]