Maria Halkidi
Associate Professor
Email: mhalk at unipi dot gr
[
Citations according to Google Scholar] . [List of publications in
DBLP]
Books
- M. Vazirgiannis, M. Halkidi. "Data Mining",
Gutenberg publishers, 2003 (in Greek)
- M. Vazirgiannis, M. Halkidi, D. Gunopulos, “Quality Assessment
and Uncertainty Handling in Data Mining”, Springer-Verlag, LNAI
Series, 2003, ISBN: 1-85233-655-2.
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.
M. Halkidi, I.
Koutsopoulos. "Recommender
systems with Selfish Users". Knowledge and Information Systems,
Springer, 2020.
2.
I. Koutsopoulos and M.
Halkidi, "Distributed
energy-efficient estimation in spatially correlated wireless sensor networks”,
Elsevier Computer Communications (Special Issue on Green Networks), 2014.
3.
M. Halkidi, D. Spinellis,
G. Tsatsaronis, M. Vazirgiannis. “Data mining in software
engineering”. Intelligent Data Analysis Journal, 2011.
4.
M. Halkidi, M.
Vazirgiannis. "A
Density-based Cluster Validity Approach using Multi-representatives",
Pattern Recognition Letters, Vol. 29, Issue 6, April 2008.
5.
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.
6.
M. Halkidi, M.
Vazirgiannis. "NPClu: An approach for clustering spatially extended
objects". Intelligent Data Analysis Journal, Volume 12, Number 6 / 2008
7.
M. Halkidi, D.
Papadopoulos, V. Kalogeraki, D. Gunopulos, "Resilient
and Energy Efficient Tracking in Sensor Networks", International
Journal of Wireless and Mobile Computing, 2005.
8.
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.
9.
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
10.M. Halkidi, Y. Batistakis,
M. Vazirgiannis. "Cluster Validity Methods: Part I", SIGMOD Record,
June 2002.
11.M. Halkidi, Y. Batistakis,
M. Vazirgiannis. "Cluster Validity Methods: Part II", SIGMOD Record,
September 2002.
12.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. Koutsopoulos, M. Halkidi. “Optimization
of Multi-Stakeholder Recommender Systems for Diversity and Coverage”.
AIAI 2021.
2.
Maria Halkidi, Ι Koutsopoulos.
“QGraph: A quality assessment index for graph clustering”. accepted as short
paper in European Conference on Information Retrieval (ECIR), 2019.
3.
I. Koutsopoulos and M.
Halkidi, “Efficient
and fair item coverage in recommender systems”, Proceedings of IEEE
International Conference on Big Data Intelligence and Computing (DataCom) 2018
Athens, Greece.
4.
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.
5.
I. Koutsopoulos, A. Gionis,
M. Halkidi. "Auctioning Data
for Learning", MoDAT, (in conjunction with IEEE ICDM 2015), 2015
6.
H. Vahabi, I. Koutsopoulos,
F. Gullo, M. Halkidi. "Optimal
User Engagement through Social-Diffusion-Aware Recommender Systems",
CIKM 2015.
7.
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.
8.
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.
9.
M.Halkidi. M. Spiliopoulou,
A. Pavlou ‘A Semi-supervised
Incremental Clustering Algorithm for Streaming Data’, In Proceedings of
PAKDD 2012.
10.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.
11.M. Halkidi, I.
Koutsopoulos. ‘Online
Clustering of Distributed Streaming Data using Belief Propagation Techniques’,
International Conference on Mobile Data Management (MDM), 2011.
12.I.Koutsopoulos, M. Halkidi,
‘Measurement
Aggregation and Routing Techniques for Energy-Efficient Estimation in Wireless
Sensor Networks’ , WiOpt 2010
13.I. Koutsopoulos and M.
Halkidi, "Lifetime
maximization in wireless sensor networks with an Estimation mission",
Proceedings of IEEE Global Telecommunications Conference (GLOBECOM), 2009.
14.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.
15.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.
16.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.
17.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.
18.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.
19.M. Halkidi, M. Vazirgiannis.
"Managing uncertainty and quality in the classification process", in
the Proceedings of SETN Conference, Thessaloniki, April 2002.
20.M. Halkidi, M.
Vazirgiannis. "Clustering validity assessment using multi
representatives", Poster paper in the Proceedings of SETN Conference,
April 2002, Thessaloniki, Greece.
21.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.
22.B. Nguyen, M. Vazirgianis,
I. Varlamis, M. Halkidi, Organising Web Documents into Thematic Subsets using
an Ontology (THESUS), in Journees scientifiques Web semantique, 2002
23.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.
24.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.
25.M. Halkidi, Y. Batistakis,
M. Vazirgiannis, “Clustering algorithms and validity measures”, tutorial paper
in the Proceedings of the SSDBMConference, 2001.
26.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.
27.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.
28.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.