Basilis Boutsinas - researchr alias

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Viewing Publication 1 - 29 from 29

2023

Addressing the Cold-Start Problem in Recommender Systems Based on Frequent PatternsAntiopi Panteli, Basilis Boutsinas. algorithms, 16(4):182, April 2023. [doi]

Correction to: Improvement of similarity-diversity trade-off in recommender systems based on a facility location modelAntiopi Panteli, Basilis Boutsinas. nca, 35(1):191, 2023. [doi]

Improvement of similarity-diversity trade-off in recommender systems based on a facility location modelAntiopi Panteli, Basilis Boutsinas. nca, 35(1):177-189, 2023. [doi]

2021

On solving the multiple p-median problem based on biclusteringAntiopi Panteli, Basilis Boutsinas, Ioannis Giannikos. or, 21(1):775-799, 2021. [doi]

2019

Improvement of similarity-diversity trade-off in recommender systems based on a facility location modelAntiopi Panteli, Basilis Boutsinas. iisa 2019: 1-7 [doi]

2014

On Set Covering Based on BiclusteringAntiopi Panteli, Basilis Boutsinas, Ioannis Giannikos. ijitdm, 13(5):1029-1050, 2014. [doi]

2013

Machine-part cell formation using biclusteringBasilis Boutsinas. eor, 230(3):563-572, 2013. [doi]

A New Biclustering Algorithm Based on Association Rule MiningBasilis Boutsinas. ijait, 22(3), 2013. [doi]

2012

Automatic Interactive Music Improvization Based on Data MiningConstantinos Halkiopoulos, Basilis Boutsinas. ijait, 21(4), 2012. [doi]

2009

A computational algorithm for the risk assessment of developing acute coronary syndromes, using online analytical process methodologyHara Kostakis, Basilis Boutsinas, Demosthenes B. Panagiotakos, Leo D. Kounis. ijkesdp, 1(1):85-99, 2009. [doi]

A method for improving the accuracy of data mining classification algorithmsNikolaos Mastrogiannis, Basilis Boutsinas, Ioannis Giannikos. cor, 36(10):2829-2839, 2009. [doi]

CL.E.KMODES: a modified ::::k::::-modes clustering algorithmNikolaos Mastrogiannis, Ioannis Giannikos, Basilis Boutsinas, Gerasimos Antzoulatos. jors, 60(8):1085-1095, 2009. [doi]

On Aligning Interesting Parts of OntologiesChristos Tatsiopoulos, Basilis Boutsinas, Konstantinos Sidiropoulos. ic3k 2009: 363-367

Ontology Mapping based on Association Rule MiningChristos Tatsiopoulos, Basilis Boutsinas. ICEIS 2009: 33-40

2008

On clustering tree structured data with categorical natureBasilis Boutsinas, T. Papastergiou. PR, 41(12):3613-3623, 2008. [doi]

Distributed Mining of Association Rules Based on Reducing the Support ThresholdBasilis Boutsinas, Costas Siotos, Antonis Gerolimatos. ijait, 17(6):1109-1129, 2008. [doi]

On Merging Classification RulesBasilis Boutsinas, S. Athanasiadis. ijitdm, 7(3):431-450, 2008. [doi]

2004

Splitting Data in Decision Trees Using the New False-Positives CriterionBasilis Boutsinas, Ioannis X. Tsekouronas. setn 2004: 174-182 [doi]

A Methodology for Scaling up Classification AlgorithmsBasilis Boutsinas, George Prassas, Gerasimos Antzoulatos. ijait, 13(3):623-640, 2004. [doi]

2003

Parallel Unsupervised k-Windows: An Efficient Parallel Clustering AlgorithmDimitris K. Tasoulis, Panagiotis Alevizos, Basilis Boutsinas, Michael N. Vrahatis. pact 2003: 336-344 [doi]

2002

2001

Artificial nonmonotonic neural networksBasilis Boutsinas, Michael N. Vrahatis. ai, 132(1):1-38, 2001. [doi]

1997

Massively parallel support for nonmonotonic reasoningBasilis Boutsinas, Yannis C. Stamatiou, Georgios Pavlides. In James Geller, Hiroaki Kitano, Christian B. Suttner, editors, Parallel Processing for Artificial Intelligence 3. Volume 20 of Machine Intelligence and Pattern Recognition, pages 41-67, Elsevier, 1997. [doi]

1996

Automatic Analysis, Verification and Synthesis of Rule-Based Real-Time Decision Making Systems with Machine Learning AssistanceBasilis Boutsinas, Stergios Papadimitriou, Georgios Pavlides. ershov 1996: 134-145

On Managing Nonmonotonic Transitive RelationshipsBasilis Boutsinas. ictai 1996: 374-382

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