ABOUT ME
Basilis Boutsinas was born in Cefalinia, Hellas (Greece), in 1963.
He received his diploma in “Computer Engineering & Informatics” in 1991 from the University of Patras, Hellas .
He also conducted studies in “Electronics Engineering” at the Technical Education Institute of Piraeus, Hellas,
and Pedagogics at Pedagogical Academy of Lamia, Hellas.
He received his Ph.D. on Knowledge Representation from the University of Patras in 1997.
He is an associate professor in the Department of Business Administration at the University of Patras since 2001.
His primary research interests include data mining, business intelligence, knowledge representation techniques,
nonmonotonic reasoning and parallel AI.
He can be reached at University of Patras,
Dept. of Business Administration,
26500, Rio, Patras, Greece.
tel. : +30 2610 997845
fax. : +30 2610 969838
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Personal Website
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Laboratory
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Laboratory Website
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Research Activity
Our research group develops algorithms/methodologies for analyzing data. Specifically, we focus on data mining and text mining techniques (classification, clustering, and association) based on Machine Learning and generally Artificial Intelligence. Moreover, we focus on multidimensional analysis (OLAP analysis) and other techniques of Business Intelligence. We research applications of our algorithms/methodologies mainly to business and medical data (also to other scientific data).
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Facilities
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Selected Research Projects
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Selected Publications
1) B. Boutsinas, M.N. Vrahatis, “Artificial Nonmonotonic Neural Networks”, Artificial Intelligence 132(1), 2001, Elsevier Science Publishers B.V., pp 1-38
2) B. Boutsinas, T. Gnardellis, “On Distributing the clustering process”, Pattern Recognition Letters, Elsevier Science Publishers B.V., vol. 23, no. 8, 2002, Impact factor: 409/2002, pp. 999-1008.
3) B. Boutsinas, G. Prassas, G. Antzoulatos, “A methodology for scaling up classification algorithms”, International Journal on Artificial Intelligence Tools, 13(3), World Scientific Publishing Company, pp. 623-639, 2004.
4) B. Boutsinas, D. Tasoulis, M.N. Vrahatis, “Estimating the number of clusters using a windowing technique”, Pattern Recognition and Image Analysis, 16(2), pp. 143-154, 2006.
5) Hara Kostakis, Basilis Boutsinas, Demosthenes B. Panagiotakos, Christos Pitsavos, Christodoulos Stefanadis, “The use of Boolean association rules to evaluate dependencies between the biological factors levels and genes, in human; an application to the effect of a mutation on serum lipid profile in healthy individuals”, Far East Journal of Theoretical Statistics, 19(1), pp. 1-11, 2006.
6) B. Boutsinas, T. Papastergiou, “On clustering categorical objects”, Pattern Recognition, Elsevier Science, to revise -
Cooperations With Other Organizations And Institutes