Materi PendukungT0264P17_2
Machine Learning &
Knowledge Discovery
Group
PUBLICATIONS
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Total Articles: 39
2006
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G. Tzanis, I. Vlahavas, “Prediction of Translation Initiation Sites Using Classifier
Selection”, Proc. 4th Hellenic Conference on Artificial Intelligence (SETN-06), G.
Antoniou, G. Potamias, D. Plexousakis, C. Spyropoulos (Ed.), Springer-Verlag, LNAI
3955, Heraklion, Crete, 18-20 May, 2006.
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I. Partalas, G. Tsoumakas, I. Katakis, I. Vlahavas, “Ensemble Pruning using
Reinforcement Learning”, Proc. 4th Hellenic Conference on Artificial Intelligence (SETN06), G. Antoniou, G. Potamias, D. Plexousakis, C. Spyropoulos (Ed.), Springer-Verlag,
LNAI 3955, pp. 301-310, Heraklion, Crete, 18-20 May, 2006.
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S. Bibi, G. Tsoumakas, I. Stamelos, I. Vlahavas, “Software Defect Prediction Using
Regression via Classification”, Proc. 4th ACS/IEEE International Conference on
Computer Systems and Applications, AICCSA '06, (accepted for presentation), 2006.
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I. Katakis, G. Tsoumakas, I. Vlahavas, “Email Mining: Emerging Techniques for Email
Management (to appear)”, Web Data Management Practices: Emerging Techniques and
Technologies, Athena Vakali, George Pallis (Ed.), Idea Group Publishing, pp. 32, 2006.
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Year Total: 4
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2005
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E. Hatzikos, L. Anastasakis, N. Bassiliades, I. Vlahavas, “Applying neural networks with
active neurons to sea-water quality measurements”, 2nd Int. Scientific Conf. on
Computer Science, Plamenka Borovska, Sofoklis Christofordis (Ed.), IEEE Computer
Society, Bulgarian Section, 30th Sep-2nd Oct 2005, Halkidiki, Greece, 2005.
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S. Diplaris, G. Tsoumakas, P. Mitkas, I. Vlahavas, “Protein Classification with Multiple
Algorithms”, 10th Panhellenic Conference on Informatics (PCI 2005), P. Bozanis and
E.N. Houstis (Eds.), Springer-Verlag, LNCS 3746, pp. 448-456, Volos, Greece, 11-13
November, 2005.
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S. Konias, I. Chouvarda, I. Vlahavas, N. Maglaveras, “A Novel Approach for Incremental
Uncertainty Rule Generation from Databases with Missing Values Handling: Application
to Dynamic Medical Databases”, Medical Informatics & The Internet in Medicine, Taylor
& Francis, Vol. 2005, Issue 5 (to appear), 2005.
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I. Katakis, G. Tsoumakas, I. Vlahavas, “On the Utility of Incremental Feature Selection
for the Classification of Textual Data Streams”, 10th Panhellenic Conference on
Informatics (PCI 2005), P. Bozanis and E.N. Houstis (Eds.), Springer-Verlag, LNCS
3746, pp. 338-348, Volos, Greece, 11-13 November, 2005.
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G. Tzanis, C. Berberidis, A. Alexandridou, I. Vlahavas, “Improving the Accuracy of
Classifiers for the Prediction of Translation Initiation Sites in Genomic Sequences”, 10th
Panhellenic Conference on Informatics (PCI'2005), P. Bozanis and E.N. Houstis (Eds.),
Springer-Verlag, LNCS 3746, pp. 426 – 436, Volos, Greece, 11-13 November, 2005.
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C. Berberidis, G. Tzanis, I. Vlahavas, “Mining for Contiguous Frequent Itemsets in
Transaction Databases”, IEEE 3rd International Workshop on Intelligent Data Acquisition
and Advanced Computing Systems: Technology and Applications (IDAACS'2005), IEEE,
Sofia, Bulgaria, 2005.
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G. Tzanis, C. Berberidis, I. Vlahavas, “Biological Data Mining”, Encyclopedia of Database
Technologies and Applications, Laura C. Rivero, Jorge H. Doorn and Viviana E.
Ferraggine (Eds.), Idea Group Publishing, 2005.
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G. Tsoumakas, L. Angelis, I. Vlahavas, “Selective Fusion of Heterogeneous Classifiers”,
Intelligent Data Analysis, IOS Press, 9(6), pp. 511-525, 2005.
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D. Vrakas, G. Tsoumakas, N. Bassiliades, I. Vlahavas, “HAPrc: An Automatically
Configurable Planning System”, AI Communications, 18 (1), pp. 1-20, 2005.
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C. Berberidis, I. Vlahavas, “Mining for weak periodic signals in time series databases”,
Intelligent Data Analysis, Dr. F. Famili (Ed.), IOS Press, 9(1), 2005.
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D. Vrakas, G. Tsoumakas, N. Bassiliades, I. Vlahavas, “Machine Learning for Adaptive
Planning”, Intelligent Techniques for Planning, I. Vlahavas and D. Vrakas (Eds.), IDEA
GROUP PUBLISHING, Ch. 3, pp. 90-120, 2005.
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F. Kokkoras, N. Bassiliades, I. Vlahavas, “Aggregator: A Knowledge based Comparison
Chart Builder for e-Shopping”, Intelligent Knowledge-Based Systems: Business and
Technology in the New Millennium, C.T. Leondes (Ed.), Kluwer Academic Publishers, Vol.
1: Knowledge-Based Systems, Ch. 6, pp. 140-163, 2005.
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Year Total: 12
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2004
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S. Konias, N. Maglaveras, I. Vlahavas, “Predicting Missing Parts in Time Series Using
Uncertainty Theory”, Biological and Medical Data Analysis: 5th International
Symposium, ISBMDA 2004, J. M. Barreiro, F. Martin-Sanchez, V. Maojo, et al. (Ed.),
Springer-Verlag, 3337, pp. 313-321, Barcelona, Spain, November 18-19, 2004, 2004.
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C. Berberidis, L. Angelis, I. Vlahavas, “PREVENT: An algorithm for mining intertransactional patterns for the prediction of rare events”, 2nd European Starting AI
Researcher Symposium (STAIRS' 04), IOS Press, pp. 128-136, Valencia, Spain, 2004.
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G. Tsoumakas, G. Meditskos, D. Vrakas, N. Bassiliades, I. Vlahavas, “Web Services for
Adaptive Planning”, Proc. ECAI04 Workshop on Planning and Scheduling: Bridging
Theory to Practice, D. Borrajo (Ed.), IOS Press, 2004.
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G. Tsoumakas, I. Katakis, I. Vlahavas, “Effective Voting of Heterogeneous Classifiers”,
Proc. European Conference on Machine Learning, ECML 04, Pisa, Italy, 2004.
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C. Berberidis, L. Angelis, I. Vlahavas, “Inter-Transaction Association Rules Mining for
Rare Events Prediction”, Proc. 3rd Hellenic Conference on Artificial Intellligence (SETN
'04), Samos, Greece, 2004.
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G. Tsoumakas, D. Vrakas, N. Bassiliades, I. Vlahavas, “Lazy Adaptive Multicriteria
Planning”, Proc. 16th European Conference on Artificial Intelligence, ECAI 2004, R.
Lopez de Mantaras and L. Saitta (Eds.), IOS Press, pp. 693-697, 2004.
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F. Kokkoras, N. Bassiliades, I. Vlahavas, “Modelling Information Extraction Wrappers
with Conceptual Graphs”, Proc. (2nd Volume) 3rd Panhellenic Conference on Artificial
Intelligence (SETN'04), Zitis Publications, ISBN 960-431-910-8, 5-8 May 2004, Samos,
Greece, 2004.
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G. Tsoumakas, D. Vrakas, N. Bassiliades, I. Vlahavas, “Using the k-nearest problems for
adaptive multicriteria planning”, Proc. 3rd Hellenic Conference on Artificial Intellligence
(SETN '04), G. Vouros and T. Panayiotopoulos (Eds.), Springer-Verlag, LNAI 3025, pp.
132-141, Samos, Greece, 2004.
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G. Tsoumakas, N. Bassiliades, I. Vlahavas, “A Knowledge-based Web Information
System for the Federation of Distributed Classifiers”, Web Information Systems, D.
Taniar and W. Rahayu (Eds.), Idea-Group Publishing, Chapter 8, pp. 271-308, 2004.
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G. Tsoumakas, L. Angelis, I. Vlahavas, “Clustering Classifiers for Knowledge Discovery
from Physically Distributed Databases”, Data & Knowledge Engineering, Elsevier, 49(3),
pp. 223-242, 2004.
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Year Total: 10
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2003
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I. Vlahavas, “Preface of Special Issue on Knowledge Discovery from Distributed
Information Sources”, Information Sciences, Elsevier, 155(3-4), pp. 179-180, 2003.
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C. Berberidis, I. Vlahavas, “Periodicity Mining in Industrial Data: A Real World Example
on Power Data”, First International Conference for Mathematics and Informatics for
Industry (MII2003), Thessaloniki, 2003.
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D. Vrakas, G. Tsoumakas, N. Bassiliades, I. Vlahavas, “Learning Rules for Adaptive
Planning”, Proc. 13th International Conference on Automated Planning and Scheduling
(ICAPS '03), pp. 82-91, Trento, Italy, June 2003, 2003.
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Year Total: 3
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2002
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D. Vrakas, G. Tsoumakas, I. Vlahavas, “Towards Adaptive Heuristic Planning through
Machine Learning”, Proc. 21st Workshop of the UK Planning and Scheduling Special
Interest Group (PlanSIG '02), 2002.
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I. Vlahavas, P. Kefalas, N. Bassiliades, I. Refanidis, F. Kokkoras, I. Sakellariou, “Artificial
Intelligence (in Greek - Τεχνητή Νοημοσύνη)”, Book, Gartaganis Publications, ISBN 9607013-28-X, 2002.
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C. Berberidis, A. Walid, M. Atallah, I. Vlahavas, A. Elmagarmid, “Multiple and Partial
Periodicity Mining in Time Series Databases”, Proc. 15th European Conference on
Artificial Intelligence (ECAI '02), Frank Van Harmelen (Ed.), IOS Press, pp. 370-374,
Lyon, France, 2002.
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G. Tsoumakas, I. Vlahavas, “Effective Stacking of Distributed Classifiers”, Proc. 15th
European Conference on Artificial Intelligence (ECAI '02), Frank van Harmelen (Ed.),
IOS Press, pp. 340-344, 2002.
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G. Tsoumakas, I. Vlahavas, “Distributed Data Mining of Large Classifier Ensembles”,
Proc. (companion volume) 2nd Hellenic Conference on AI (SETN '02), I. Vlahavas, C.
Spyropoulos (Ed.), pp. 249-255, Thessaloniki, Greece, 2002.
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C. Berberidis, I. Vlahavas, W. Aref, M. Atallah, A. Elmagarmid, “On the Discovery of
Weak Periodicities in Large Time Series”, Proc. 6th European Conference on Principles
and Practice of Knowledge Discovery in Databases (PKDD '02), Springer-Verlag, LNAI
2431, pp. 51-61, 2002.
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Year Total: 6
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2001
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G. Tsoumakas, I. Vlahavas, “Fuzzy Meta-Learning: Preliminary Results”, Proc. UK
Workshop on Computational Intelligence (UKCI '01), pp. 43-48, 2001.
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Year Total: 1
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1999
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M. Karamanlidou, I. Vlahavas, “Stock Miner: A System for Knowledge Discovery and
Financial Data”, Proc. ACAI '99 Workshop on Data Mining in Economics, Marketing and
Finance, 1999.
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Year Total: 1
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1997
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N. Bourbakis, D. Goldman, R. Fermatt, I. Vlahavas, L. Tsoukalas, “Path Planning in a 2D known Space using Neural Networks and Skeletonization”, Proc. IEEE International
Conference on Systems Man and Cybernetics (SMC '97), 1997.
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A. Likartsis, I. Vlahavas, L. Tsoukalas, “A New Hybrid Neural-Genetic Methodology for
Improving Learning”, Proc. IEEE 9th International Conference on Tools with Artificial
Intelligence (ICTAI '97), 1997.
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Year Total: 2