[ Citations according to Google Scholar] .  [List of publications in DBLP]

Books

Book Chapters
  • M. Halkidi. "Hierarchical clustering". Encyclopedia of Database Systems (EDBS), Editors: Ozsu, M. Tamer; Liu, Ling (Eds.), 2009
  • M. Halkidi, M. Vazirgiannis. "Quality Assessment Approaches In Data Mining", to appear in the Data Mining and Knowledge Discovery Handbook: A Complete Guide for Practitioners and Researchers", by Kluwer Academic Publishers, 2005.
Peer-reviewed journals
  1.  I. Koutsopoulos and M. Halkidi, "Distributed energy-efficient estimation in spatially correlated wireless sensor networks”, Elsevier Computer Communications (Special Issue on Green Networks), 2014.
  2. M. Halkidi, D. Spinellis, G. Tsatsaronis, M. Vazirgiannis. “Data mining in software engineering”. Intelligent Data Analysis Journal, 2011.
  3.  M. Halkidi, M. Vazirgiannis. "A Density-based Cluster Validity Approach using Multi-representatives", Pattern Recognition Letters, Vol. 29, Issue 6, April 2008.
  4.  M. Halkidi, D. Gunopulos, M. Vazirgiannis, N. Kumar, C. Domeniconi. "A Clustering Framework based on Subjective and Objective Validity Criteria", ACM Transactions on Knowledge Discovery from Data, Vol. 1, No. 4, 2008.
  5.  M. Halkidi, M. Vazirgiannis. "NPClu: An approach for clustering spatially extended objects". Intelligent Data Analysis Journal, Volume 12, Number 6 / 2008
  6. M. Halkidi, D. Papadopoulos, V. Kalogeraki, D. Gunopulos, "Resilient and Energy Efficient Tracking in Sensor Networks", International Journal of Wireless and Mobile Computing, 2005.
  7. I. Varlamis, M. Vazirgiannis, M. Halkidi, B. Nguyen, "THESUS, a Closer View on Web Content Management Enhanced with Link Semantics", IEEE Transactions on Knowledge and Data Engineering Journal, 16(6): 685-700, 2004.
  8. B. Nguyen, M. Vazirgiannis, I. Varlamis, M. Halkidi. "Organizing Web document collections based on link semantics", the VLDB journal, special issue on Semantic Web,12(4): 320-332, 2003
  9. M. Halkidi, Y. Batistakis, M. Vazirgiannis. "Cluster Validity Methods: Part I", SIGMOD Record, June 2002.
  10. M. Halkidi, Y. Batistakis, M. Vazirgiannis. "Cluster Validity Methods: Part II", SIGMOD Record, September 2002.
  11. M. Halkidi, Y. Batistakis, M. Vazirgiannis, "On Clustering Validation Techniques", Intelligent Information Systems Journal, Kluwer Pulishers, 17(2-3): 107-145, 2001.
Peer-reviewed Conferences/Workshops
  1. Maria Karanasou, Anneta Ampla, Christos Doulkeridis, Maria Halkidi. “Scalable and Real-time Sentiment Analysis of Twitter Data", SENTITE (in conjunction with IEEE ICDM workshop), 2016.
  2. I. Koutsopoulos, A. Gionis, M. Halkidi. "Auctioning Data for Learning", MoDAT, (in conjunction with IEEE ICDM 2015), 2015
  3. H. Vahabi, I. Koutsopoulos, F. Gullo, M. Halkidi. "Optimal User Engagement through Social-Diffusion-Aware Recommender Systems", CIKM 2015.
  4. Maria Karanasou, Christos Doulkeridis and Maria Halkidi: “DsUniPi: An SVM-based approach for Sentiment Analysis of Figurative Language on Twitter”, 9th International Workshop on Semantic Evaluation (SemEval 2015), Denver, Colorado, June 4-5, 2015.
  5. Akrivi Vlachou, Christos Doulkeridis and Maria Halkidi. “Discovering Representative Skyline Points over Distributed Data”. In Proceedings of 24th International Conference on Scientific and Statistical Database Management (SSDBM'12), Chania, Greece, June 25-27, 2012.
  6. M.Halkidi. M. Spiliopoulou, A. Pavlou ‘A Semi-supervised Incremental Clustering Algorithm for Streaming Data’, In Proceedings of PAKDD 2012.
  7. M. Halkidi, I. Koutsopoulos. ‘A Game Theoretic Framework for Data Privacy Preservation in Recommender Systems’, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2011.
  8. M. Halkidi, I. Koutsopoulos. ‘Online Clustering of Distributed Streaming Data using Belief Propagation Techniques’, International Conference on Mobile Data Management (MDM), 2011.
  9. I.Koutsopoulos, M. Halkidi, ‘Measurement Aggregation and Routing Techniques for Energy-Efficient Estimation in Wireless Sensor Networks’ , WiOpt 2010
  10. I. Koutsopoulos and M. Halkidi, "Lifetime maximization in wireless sensor networks with an Estimation mission", Proceedings of IEEE Global Telecommunications Conference (GLOBECOM), 2009.
  11. G. Tsatsaronis, M. Halkidi and E.M. Giakoumakis. ‘Quality Classifiers for Open Source Software Repositories’. 2nd Artificial Intelligence Techniques in Software Engineering Workshop, April 22-23, 2009.
  12. M. Halkidi, V. Kalogeraki, D. Gunopulos, D. Papadopoulos, D. Zeinalipour-Yazti, M. Vlachos, "Efficient Online State Tracking Using Sensor Networks", in the Proceedings of the 7th International Conference on Mobile Data Management (MDM'06), Nara, Japan, May 2006.
  13. M. Halkidi, D. Gunopulos, N. Kumar, M. Vazirgiannis, C. Domeniconi. “A Framework for Semi-supervised Learning based on Subjective and Objective Clustering Criteria”. in the Proceedings of ICDM Conference, Louisiana, USA, November 2005.
  14. M. Halkidi, M. Vazirgiannis. “NPClu: An Approach for Clustering Non-point Objects”. in the Proceedings of the ECML/PKDD Workshop on Mining Spatio-Temporal Data (MSTD), Porto, Portugal, October 2005.
  15. S. Rizzi, E. Bertino, B. Catania, M. Golfarelli, M. Halkidi, M. Terrovitis, P. Vassiliadis, M. Vazirgiannis, E. Vrachnos. "Towards a logical model for patterns", in the Proceedings of Entity Relationhip Conference, 2003.
  16. M. Halkidi, M. Vazirgiannis. "Managing uncertainty and quality in the classification process", in the Proceedings of SETN Conference, Thessaloniki, April 2002.
  17. M. Halkidi, M. Vazirgiannis. "Clustering validity assessment using multi representatives", Poster paper in the Proceedings of SETN Conference, April 2002, Thessaloniki, Greece.
  18. C. Amanatidis, M. Halkidi, M. Vazirgiannis. "UMiner: A Data mining system that handles uncertainty and quality", Demo paper in the Proceedings of EDBT Conference, March 2002, Prague.
  19. B. Nguyen, M. Vazirgianis, I. Varlamis, M. Halkidi, Organising Web Documents into Thematic Subsets using an Ontology (THESUS), in Journees scientifiques Web semantique, 2002
  20. M. Halkidi, M. Vazirgiannis, “Clustering Validity Assessment: Finding the optimal partitioning of a data set”, in the Proceedings of ICDM Conference, California, USA, November 2001.
  21. Maria Halkidi Michalis Vazirgiannis, "A data set oriented approach for clustering algorithm selection", in the Proceedings of PKDD (Principles and Practice of Knowledge Discovery in Databases), Freiburg, Germany, 2001. 
  22. M. Halkidi, Y. Batistakis, M. Vazirgiannis, “Clustering algorithms and validity measures”, tutorial paper in the Proceedings of the SSDBMConference, 2001.
  23. M. Halkidi, M. Vazirgiannis, Y. Batistakis, "Quality scheme assessment in the clustering process", in the Proceedings of PKDD (Principles and Practice of Knowledge Discovery in Databases) Conference, Lyon, France, 2000.
  24. Michalis Vazirgiannis, Maria Halkidi, "Uncertainty handling in the datamining process with fuzzy logic", in the Proceedings of the IEEE-FUZZ Conference, San Antonio, Texas, May, 2000. 
  25. C25. Amanatidis, M. Halkidi, M. Tzouris, M. Vazirgiannis, "Uncertainty support for Classification & Rule extraction in Relational data sets: A fuzzy logic based approach", in the Proceedings of the 5th International Conference of the Decision Sciences Institute, Athens, July 1999.  Athens, July 1999.
Other Publications
  1. M. Halkidi, V. Kalogeraki, D. Gunopulos, D. Papadopoulos, D. Zeinalipour-Yazti, M. Vlachos, "Online State Monitoring in Sensor Networks", HDMS, Thessaloniki, September 2006.
  2. Linas Baltrunas, Juozas Gordevicius, Maria Halkidi, Michalis Vazirgiannis. “DFC: A Density-based Fuzzy Clustering Algorithm”, PCI 2005.
  3. Halkidi, M. Vazirgiannis, Y. Theodoridis. "NPClu: A Methodology for Clustering Non-point Objects", HDMS' 02, Athens, Greece, 2002.
  4. M. Halkidi. "Quality assessment and Uncertainty Handling in Data Mining Process". Technical Report of EDBT-PhD-WorkShop, Konstanz, Germany, March 2000.
  5. Maria Halkidi, Benjamin Nguyen, Iraklis Varlamis, Michalis Vazirgiannis, “THESUS: Organizing Web Document Collections based on Semantics and Clustering”, INRIA/Verso Report number 214, 2002.
  6. Joseph Papaparaskevas, Yannis Batistakis, Maria Halkidi, Christos Amanatidis, Maria Kanellopoulou, Michalis Vazirgiannis, Evangelos Papafragas, and Alkiviadis C. Vatopoulos. “The use of Data Mining Techniques in Antibiotic Resistance Surveillance”, 2001
Tutorials

1. Maria Halkidi. "From Unsupervised to Semi-supervised Learning Approaches". Invited tutorial HDMS 2007.

2. D. Gunopulos, M. Vazirgiannis, M. Halkidi, "Novel Aspects in Unsupervised Learning: Semi-Supervised and Distributed Algorithms ", tutorial ECML/PKDD-2006, Berlin, Germany.

3. D. Gunopulos, M. Vazirgiannis, M. Halkidi, "From Unsupervised to Semi-supervised Learning: Algorithms and evaluation approaches", tutorial SIAM Conference on Data Mining, 2006, Maryland, USA

4. M. Halkidi, M. Vazirgiannis. "An Introduction to Quality Assessment in Data Mining". PKDD 2002 Conference, Helsinki, Finland, August 2002

5. M. Halkidi, Y. Batistakis, M. Vazirgiannis. "Clustering algorithms and validity measures". Tutorial paper, Proceedings of SSDBM Conference, Virginia, USA, July 2001

6. M. Vazirgiannis, M. Halkidi. "Introduction to Data Mining", HELDiNET (http://heldinet.dbnet.ece.ntua.gr/), Thessaloniki, Greece, 2001.