Eirini Ntoutsi

According to our database, Eirini Ntoutsi authored at least 119 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Correction to: Studying bias in visual features through the lens of optimal transport.

Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi

Data Min. Knowl. Discov., January, 2024

Studying bias in visual features through the lens of optimal transport.

Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi

Data Min. Knowl. Discov., January, 2024

Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering.

Siamak Ghodsi, Seyed Amjad Seyedi, Eirini Ntoutsi

CoRR, 2024

2023

AdaCC: cumulative cost-sensitive boosting for imbalanced classification.

Vasileios Iosifidis, Symeon Papadopoulos, Bodo Rosenhahn, Eirini Ntoutsi

Knowl. Inf. Syst., February, 2023

Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning.

Emmanouil Panagiotou, Eirini Ntoutsi

CoRR, 2023

FairBranch: Fairness Conflict Correction on Task-group Branches for Fair Multi-Task Learning.

Arjun Roy, Christos Koutlis, Symeon Papadopoulos, Eirini Ntoutsi

CoRR, 2023

Regionally Additive Models: Explainable-by-design models minimizing feature interactions.

Vasilis Gkolemis, Anargiros Tzerefos, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou

CoRR, 2023

Explaining text classifiers through progressive neighborhood approximation with realistic samples.

Yi Cai, Arthur Zimek, Eirini Ntoutsi, Gerhard Wunder

CoRR, 2023

A review of clustering models in educational data science towards fairness-aware learning.

Tai Le Quy, Gunnar Friege, Eirini Ntoutsi

CoRR, 2023

Multi-fair Capacitated Students-Topics Grouping Problem.

Tai Le Quy, Gunnar Friege, Eirini Ntoutsi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Keynote Speech 2: Bias and Discrimination in AI Systems: From Single-Identity Dimensions to Multi-Discrimination.

Eirini Ntoutsi

Proceedings of the International Conference on Multimedia Computing, 2023

Multi-dimensional Discrimination in Law and Machine Learning - A Comparative Overview.

Arjun Roy, Jan Horstmann, Eirini Ntoutsi

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy.

Siamak Ghodsi, Eirini Ntoutsi

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

RHALE: Robust and Heterogeneity-Aware Accumulated Local Effects.

Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

A survey on datasets for fairness-aware machine learning.

Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi

WIREs Data Mining Knowl. Discov., 2022

Parity-based cumulative fairness-aware boosting.

Vasileios Iosifidis, Arjun Roy, Eirini Ntoutsi

Knowl. Inf. Syst., 2022

A survey on bias in visual datasets.

Simone Fabbrizzi, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris

Comput. Vis. Image Underst., 2022

Context matters for fairness - a case study on the effect of spatial distribution shifts.

Siamak Ghodsi, Harith Alani, Eirini Ntoutsi

CoRR, 2022

Multiple Fairness and Cardinality constraints for Students-Topics Grouping Problem.

Tai Le Quy, Gunnar Friege, Eirini Ntoutsi

CoRR, 2022

Attention Mechanism based Cognition-level Scene Understanding.

Xuejiao Tang, Tai Le Quy, Eirini Ntoutsi, Kea Turner, Vasile Palade, Israat Haque, Peng Xu, Chris Brown, Wenbin Zhang

CoRR, 2022

Learning to Teach Fairness-Aware Deep Multi-task Learning.

Arjun Roy, Eirini Ntoutsi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Evaluation of Group Fairness Measures in Student Performance Prediction Problems.

Tai Le Quy, Thi Huyen Nguyen, Gunnar Friege, Eirini Ntoutsi

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Power of Explanations: Towards automatic debiasing in hate speech detection.

Yi Cai, Arthur Zimek, Gerhard Wunder, Eirini Ntoutsi

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Multi-fairness Under Class-Imbalance.

Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

Introduction to The Special Section on Bias and Fairness in AI.

Toon Calders, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Salvatore Ruggieri

SIGKDD Explor., 2021

Web Futures: Inclusive, Intelligent, Sustainable The 2020 Manifesto for Web Science (Dagstuhl Perspectives Workshop 18262).

Bettina Berendt, Fabien Gandon, Susan Halford, Wendy Hall, Jim Hendler, Katharina E. Kinder-Kurlanda, Eirini Ntoutsi, Steffen Staab

Dagstuhl Manifestos, 2021

A survey on datasets for fairness-aware machine learning.

Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi

CoRR, 2021

Online Fairness-Aware Learning with Imbalanced Data Streams.

Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi

CoRR, 2021

Multi-Fair Pareto Boosting.

Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi

CoRR, 2021

Data augmentation for dealing with low sampling rates in NILM.

Tai Le Quy, Sergej Zerr, Eirini Ntoutsi, Wolfgang Nejdl

CoRR, 2021

Consequence-Aware Sequential Counterfactual Generation.

Philip Naumann, Eirini Ntoutsi

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Interpretable Visual Understanding with Cognitive Attention Network.

Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Fair-Capacitated Clustering.

Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Towards fair, explainable and actionable clustering for learning analytics.

Tai Le Quy, Eirini Ntoutsi

Proceedings of the 14th International Conference on Educational Data Mining, 2021

XPROAX-Local explanations for text classification with progressive neighborhood approximation.

Yi Cai, Arthur Zimek, Eirini Ntoutsi

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020

Bias in data-driven artificial intelligence systems - An introductory survey.

Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Franco Turini, Symeon Papadopoulos, Emmanouil Krasanakis, Ioannis Kompatsiaris, Katharina Kinder-Kurlanda, Claudia Wagner, Fariba Karimi, Miriam Fernández, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab

WIREs Data Mining Knowl. Discov., 2020

Sentiment analysis on big sparse data streams with limited labels.

Vasileios Iosifidis, Eirini Ntoutsi

Knowl. Inf. Syst., 2020

Tracking the history and evolution of entities: entity-centric temporal analysis of large social media archives.

Pavlos Fafalios, Vasileios Iosifidis, Kostas Stefanidis, Eirini Ntoutsi

Int. J. Digit. Libr., 2020

Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity.

Vishnu Unnikrishnan, Christian Beyer, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou

Int. J. Data Sci. Anal., 2020

Bias in Data-driven AI Systems - An Introductory Survey.

Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Franco Turini, Symeon Papadopoulos, Emmanouil Krasanakis, Ioannis Kompatsiaris, Katharina Kinder-Kurlanda, Claudia Wagner, Fariba Karimi, Miriam Fernández, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab

CoRR, 2020

Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning.

Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann

Big Data, 2020

Resource management for model learning at entity level.

Christian Beyer, Vishnu Unnikrishnan, Robert Brüggemann, Vincent Toulouse, Hafez Kader Omar, Eirini Ntoutsi, Myra Spiliopoulou

Ann. des Télécommunications, 2020

Active feature acquisition on data streams under feature drift.

Christian Beyer, Maik Büttner, Vishnu Unnikrishnan, Miro Schleicher, Eirini Ntoutsi, Myra Spiliopoulou

Ann. des Télécommunications, 2020

Bias in AI-systems: A multi-step approach.

Eirini Ntoutsi

Proceedings of the 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020

FABBOO - Online Fairness-Aware Learning Under Class Imbalance.

Vasileios Iosifidis, Eirini Ntoutsi

Proceedings of the Discovery Science - 23rd International Conference, 2020

FairNN - Conjoint Learning of Fair Representations for Fair Decisions.

Tongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi, Bodo Rosenhahn

Proceedings of the Discovery Science - 23rd International Conference, 2020

Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest.

Bahman Askari, Tai Le Quy, Eirini Ntoutsi

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Drift-Aware Multi-Memory Model for Imbalanced Data Streams.

Amir Abolfazli, Eirini Ntoutsi

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019).

Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann

Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019), 2019

Exploiting entity information for stream classification over a stream of reviews.

Christian Beyer, Vishnu Unnikrishnan, Uli Niemann, Pawel Matuszyk, Eirini Ntoutsi, Myra Spiliopoulou

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

A Neighborhood-Augmented LSTM Model for Taxi-Passenger Demand Prediction.

Tai Le Quy, Wolfgang Nejdl, Myra Spiliopoulou, Eirini Ntoutsi

Proceedings of the Multiple-Aspect Analysis of Semantic Trajectories, 2019

FAHT: An Adaptive Fairness-aware Decision Tree Classifier.

Wenbin Zhang, Eirini Ntoutsi

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Fairness-Enhancing Interventions in Stream Classification.

Vasileios Iosifidis, Thi Ngoc Han Tran, Eirini Ntoutsi

Proceedings of the Database and Expert Systems Applications, 2019

AdaFair: Cumulative Fairness Adaptive Boosting.

Vasileios Iosifidis, Eirini Ntoutsi

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

FAE: A Fairness-Aware Ensemble Framework.

Vasileios Iosifidis, Besnik Fetahu, Eirini Ntoutsi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Social-Based Collaborative Filtering.

Kostas Stefanidis, Eirini Ntoutsi, Haridimos Kondylakis, Yannis Velegrakis

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

An evaluation of data stream clustering algorithms.

Stratos Mansalis, Eirini Ntoutsi, Nikos Pelekis, Yannis Theodoridis

Stat. Anal. Data Min., 2018

10 Years of Web Science: Closing The Loop (Dagstuhl Perspectives Workshop 18262).

Susan Halford, James A. Hendler, Eirini Ntoutsi, Steffen Staab

Dagstuhl Reports, 2018

Enriching Lexicons with Ephemeral Words for Sentiment Analysis in Social Streams.

Damianos P. Melidis, Alvaro Veizaga Campero, Vasileios Iosifidis, Eirini Ntoutsi, Myra Spiliopoulou

Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

Predicting polarities of entity-centered documents without reading their contents.

Christian Beyer, Uli Niemann, Vishnu Unnikrishnan, Eirini Ntoutsi, Myra Spiliopoulou

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Reinforcement Learning Based Decision Tree Induction Over Data Streams with Concept Drifts.

Christopher Blake, Eirini Ntoutsi

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets.

Pavlos Fafalios, Vasileios Iosifidis, Eirini Ntoutsi, Stefan Dietze

Proceedings of the Semantic Web - 15th International Conference, 2018

Learning under Feature Drifts in Textual Streams.

Damianos P. Melidis, Myra Spiliopoulou, Eirini Ntoutsi

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Opinion Stream Mining.

Myra Spiliopoulou, Eirini Ntoutsi, Max Zimmermann

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Redundancies in Data and their Effect on the Evaluation of Recommendation Systems: A Case Study on the Amazon Reviews Datasets.

Daniel Basaran, Eirini Ntoutsi, Arthur Zimek

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Large Scale Sentiment Learning with Limited Labels.

Vasileios Iosifidis, Eirini Ntoutsi

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Sentiment Classification over Opinionated Data Streams Through Informed Model Adaptation.

Vasileios Iosifidis, Annina Oelschlager, Eirini Ntoutsi

Proceedings of the Research and Advanced Technology for Digital Libraries, 2017

Multi-aspect Entity-Centric Analysis of Big Social Media Archives.

Pavlos Fafalios, Vasileios Iosifidis, Kostas Stefanidis, Eirini Ntoutsi

Proceedings of the Research and Advanced Technology for Digital Libraries, 2017

2016

Extracting opinionated (sub)features from a stream of product reviews using accumulated novelty and internal re-organization.

Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou

Inf. Sci., 2016

Recommendations beyond the ratings matrix.

Eirini Ntoutsi, Kostas Stefanidis

Proceedings of the Workshop on Data-Driven Innovation on the Web, 2016

GMMbuilder - User-Driven Discovery of Clustering Structure for Bioarchaeology.

Markus Mauder, Yulia Bobkova, Eirini Ntoutsi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Scalable Online-Offline Stream Clustering in Apache Spark.

Omar Backhoff, Eirini Ntoutsi

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Cluster-based Contextual Recommendations.

Kostas Stefanidis, Eirini Ntoutsi

Proceedings of the 19th International Conference on Extending Database Technology, 2016

Applying data mining methods for the analysis of stable isotope data in bioarchaeology.

Markus Mauder, Eirini Ntoutsi, Peer Kröger, Christoph Mayr, Gisela Grupe, Anita Toncala, Stefan Holzl

Proceedings of the 12th IEEE International Conference on e-Science, 2016

2015

Discovering and monitoring product features and the opinions on them with OPINSTREAM.

Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou

Neurocomputing, 2015

Incremental Active Opinion Learning Over a Stream of Opinionated Documents.

Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou

CoRR, 2015

Online template matching over a stream of digitized documents.

Michael Stockerl, Christoph Ringlstetter, Matthias Schubert, Eirini Ntoutsi, Hans-Peter Kriegel

Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015

Data mining for isotopic mapping of bioarchaeological finds in a central european alpine passage.

Markus Mauder, Eirini Ntoutsi, Peer Kröger, Gisela Grupe

Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015

Ageing-Based Multinomial Naive Bayes Classifiers Over Opinionated Data Streams.

Sebastian Wagner, Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Top-k computations in MapReduce: A case study on recommendations.

Vasilis Efthymiou, Kostas Stefanidis, Eirini Ntoutsi

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Exploring subspace clustering for recommendations.

Katharina Rausch, Eirini Ntoutsi, Kostas Stefanidis, Hans-Peter Kriegel

Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Adaptive semi supervised opinion classifier with forgetting mechanism.

Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou

Proceedings of the Symposium on Applied Computing, 2014

A Semi-Supervised Self-Adaptive Classifier over Opinionated Streams.

Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

"Strength Lies in Differences": Diversifying Friends for Recommendations through Subspace Clustering.

Eirini Ntoutsi, Kostas Stefanidis, Katharina Rausch, Hans-Peter Kriegel

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

A Framework for Modeling, Computing and Presenting Time-Aware Recommendations.

Kostas Stefanidis, Eirini Ntoutsi, Mihalis Petropoulos, Kjetil Nørvåg, Hans-Peter Kriegel

Trans. Large Scale Data Knowl. Centered Syst., 2013

Clustering high dimensional data: examining differences and commonalities between subspace clustering and text clustering - a position paper.

Hans-Peter Kriegel, Eirini Ntoutsi

SIGKDD Explor., 2013

MONIC and Followups on Modeling and Monitoring Cluster Transitions.

Myra Spiliopoulou, Eirini Ntoutsi, Yannis Theodoridis, René Schult

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Extracting Opinionated (Sub)Features from a Stream of Product Reviews.

Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou

Proceedings of the Discovery Science - 16th International Conference, 2013

2012

FINGERPRINT: Summarizing Cluster Evolution in Dynamic Environments.

Eirini Ntoutsi, Myra Spiliopoulou, Yannis Theodoridis

Int. J. Data Warehous. Min., 2012

Density-based Projected Clustering over High Dimensional Data Streams.

Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer Kröger, Hans-Peter Kriegel

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Discovering global and local bursts in a stream of news.

Max Zimmermann, Irene Ntoutsi, Zaigham Faraz Siddiqui, Myra Spiliopoulou, Hans-Peter Kriegel

Proceedings of the ACM Symposium on Applied Computing, 2012

Fast Group Recommendations by Applying User Clustering.

Eirini Ntoutsi, Kostas Stefanidis, Kjetil Nørvåg, Hans-Peter Kriegel

Proceedings of the Conceptual Modeling, 2012

A Framework for Time-Aware Recommendations.

Kostas Stefanidis, Irene Ntoutsi, Kjetil Nørvåg, Hans-Peter Kriegel

Proceedings of the Database and Expert Systems Applications, 2012

gRecs: A Group Recommendation System Based on User Clustering.

Irene Ntoutsi, Kostas Stefanidis, Kjetil Nørvåg, Hans-Peter Kriegel

Proceedings of the Database Systems for Advanced Applications, 2012

Monitoring User Evolution in Twitter.

Claudia Lauschke, Eirini Ntoutsi

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011

Density Based Subspace Clustering over Dynamic Data.

Hans-Peter Kriegel, Peer Kröger, Irene Ntoutsi, Arthur Zimek

Proceedings of the Scientific and Statistical Database Management, 2011

Revealing Cluster Formation over Huge Volatile Robotic Data.

Nikos Mitsou, Irene Ntoutsi, Dirk Wollherr, Costas S. Tzafestas, Hans-Peter Kriegel

Proceedings of the Data Mining Workshops (ICDMW), 2011

Summarizing Cluster Evolution in Dynamic Environments.

Irene Ntoutsi, Myra Spiliopoulou, Yannis Theodoridis

Proceedings of the Computational Science and Its Applications - ICCSA 2011, 2011

2010

Towards subspace clustering on dynamic data: an incremental version of PreDeCon.

Hans-Peter Kriegel, Peer Kröger, Irene Ntoutsi, Arthur Zimek

Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques, 2010

2009

The Panda framework for Comparing Patterns.

Ilaria Bartolini, Paolo Ciaccia, Irene Ntoutsi, Marco Patella, Yannis Theodoridis

Data Knowl. Eng., 2009

Tracing cluster transitions for different cluster types.

Irene Ntoutsi, Myra Spiliopoulou, Yannis Theodoridis

Control. Cybern., 2009

2008

Towards Trajectory Data Warehouses.

Nikos Pelekis, Alessandra Raffaetà, Maria Luisa Damiani, Christelle Vangenot, Gerasimos Marketos, Elias Frentzos, Irene Ntoutsi, Yannis Theodoridis

Proceedings of the Mobility, Data Mining and Privacy - Geographic Knowledge Discovery, 2008

Trajectory Data Models.

José Antônio Fernandes de Macêdo, Christelle Vangenot, Walied Othman, Nikos Pelekis, Elias Frentzos, Bart Kuijpers, Irene Ntoutsi, Stefano Spaccapietra, Yannis Theodoridis

Proceedings of the Mobility, Data Mining and Privacy - Geographic Knowledge Discovery, 2008

Trajectory Database Systems.

Elias Frentzos, Nikos Pelekis, Irene Ntoutsi, Yannis Theodoridis

Proceedings of the Mobility, Data Mining and Privacy - Geographic Knowledge Discovery, 2008

Ζητήματα ομοιότητας στην εξόρυξη γνώσης: Μεθοδολογίες και τεχνικές

Eirini Ntoutsi

PhD thesis, 2008

Traffic mining in a road-network: How does the traffic flow?

Irene Ntoutsi, Nikos Mitsou, Gerasimos Marketos

Int. J. Bus. Intell. Data Min., 2008

Comparing Datasets Using Frequent Itemsets: Dependency on the Mining Parameters.

Irene Ntoutsi, Yannis Theodoridis

Proceedings of the Artificial Intelligence: Theories, 2008

A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees.

Irene Ntoutsi, Alexandros Kalousis, Yannis Theodoridis

Proceedings of the SIAM International Conference on Data Mining, 2008

Monitoring Patterns through an Integrated Management and Mining Tool.

Evangelos E. Kotsifakos, Irene Ntoutsi, Yannis Vrahoritis, Yannis Theodoridis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Building real-world trajectory warehouses.

Gerasimos Marketos, Elias Frentzos, Irene Ntoutsi, Nikos Pelekis, Alessandra Raffaetà, Yannis Theodoridis

Proceedings of the Seventh ACM International Workshop on Data Engineering for Wireless and Mobile Access, 2008

Pattern-Miner: integrated management and mining over data mining models.

Evangelos E. Kotsifakos, Irene Ntoutsi, Yannis Vrahoritis, Yannis Theodoridis

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007

Similarity Search in Trajectory Databases.

Nikos Pelekis, Ioannis Kopanakis, Gerasimos Marketos, Irene Ntoutsi, Gennady L. Andrienko, Yannis Theodoridis

Proceedings of the 14th International Symposium on Temporal Representation and Reasoning (TIME 2007), 2007

Mining Trajectory Databases via a Suite of Distance Operators.

Nikos Pelekis, Ioannis Kopanakis, Irene Ntoutsi, Gerasimos Marketos, Yannis Theodoridis

Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007

2006

MONIC: modeling and monitoring cluster transitions.

Myra Spiliopoulou, Irene Ntoutsi, Yannis Theodoridis, René Schult

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005

Database Support for Data Mining Patterns.

Evangelos E. Kotsifakos, Irene Ntoutsi, Yannis Theodoridis

Proceedings of the Advances in Informatics, 2005

2004

A Unified and Flexible Framework for Comparing Simple and Complex Patterns.

Ilaria Bartolini, Paolo Ciaccia, Irene Ntoutsi, Marco Patella, Yannis Theodoridis

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

The Notion of Similarity in Data and Pattern Spaces.

Irene Ntoutsi

Proceedings of the Intl. Workshop on Pattern Representation and Management, 2004

2002

Interactive Verification of Game Design and Playing Strategies.

Dimitrios Kalles, Eirini Ntoutsi

Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002

2000

Induction of decision trees in numeric domains using set-valued attributes.

Dimitrios Kalles, Athanassios Papagelis, Eirini Ntoutsi

Intell. Data Anal., 2000