StructureInstitutes and
OrganizationsInstitute of Information TechnologyDoctors
of SciencesRamiz
Mahammad oglu Aliguliyev
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Place of Birth: | Azerbaijan Republic |
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Date of Birth: | 20.03.1961 | |
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Education: | M.Sc. and B.Sc. in Applied Mathematics, Baku State University | |
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Scientific degree: | Doctor of Technical Sciences | |
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Title: | ||
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Speciality code and title for doctoral dissertation: | 05.13.01 - System Analysis, Control and Information Processing | |
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Total number of scientific publications: | 80 | |
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Number of scientific publications printed abroad: | 65 | |
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Number of patents and certificates of authorship: | ||
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Main scientific achievements: |
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The grooming: | ||
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Titles of main five scientific publications: |
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R.M.Alguliev,
R.M.Aliguliyev, M.S.Hajirahimova and C.A.Mehdiyev, MCMR: maximum coverage
and minimum redundant text summarization model, Expert Systems with
Applications, 2011, vol.38, no.12, pp.14514-14522.
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R.M.Alguliev,
R.M.Aliguliyev, and C.A.Mehdiyev, Sentence selection for generic document
summarization using an adaptive differential evolution algorithm,
Swarm and Evolutionary Computation, 2011, vol.1, no.4, pp.213-222.
· R.M.Alguliev, R.M.Aliguliyev, and F.S.Ganjaliyev, Investigation of the role of similarity measure and ranking algorithm in mining social networks’, Journal of Information Science, 2011, vol.37, no.3, pp.231-236. http://jis.sagepub.com/
· R.M.Alguliev,
R.M.Aliguliyev, and C.A.Mehdiyev, pSum-SaDE: a modified p-median problem
and self-adaptive differential evolution algorithm for text summarization,
Applied Computational Intelligence and Soft Computing, 2011,
vol.2011, Article 351498, 13 pages. · R.M.Aliguliyev, Clustering techniques and discrete particle swarm optimization algorithm for multi-document summarization, Computational Intelligence, 2010, vol.26, no.4, pp.420–448. http://www.wiley.com/bw/journal.asp?ref=0824-7935
· R.M.Aliguliyev,
Performance evaluation of density-based clustering methods,
Information Sciences, 2009, vol.179, no.20, pp.3583–3602. · R.M.Aliguliyev, A new sentence similarity measure and sentence based extractive technique for automatic text summarization, Expert Systems with Applications, 2009, vol.36, no.4, pp.7764–7772. http://www.journals.elsevier.com/expert-systems-with-applications/
· R.M.Aliguliyev,
Clustering of document collection
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a weighting approach, Expert Systems with Applications, 2009,
vol.36, no.4, pp.7904–7916. · R.M.Aliguliyev, The two-stage unsupervised approach to multidocument summarization, Automatic Control and Computer Sciences, 2009, vol.43, no.5, pp.276–284. http://www.springer.com/computer/hardware/journal/11950 · R.M.Alguliev and R.M.Aliguliyev, Automatic text documents summarization through sentences clustering, Journal of Automation and Information Sciences, 2008, vol.40, no.9, pp.53–63. http://www.begellhouse.com · R.M.Alguliev and R.M.Aliguliyev, Experimental investigating the F-measure as similarity measure for automatic text summarization, Applied and Computational Mathematics, 2007, vol.6, no.2, pp.278–287. http://www.science.az/acm/ |
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Educational activity: | ||
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Position: | Department chief | |
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Place of work and its address: | Institute of Information Technology of ANAS, 9, F.Agayev St., Baku-Az1141, Azerbaijan Republic |
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Office phone: |
(994 12) 5104399 |
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Mobile: |
(994 70) 3619597 |
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Fax: |
(994 12) 5396121 |
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E-mail: | r.aliguliyev@gmail.com; a.ramiz@science.az | |