Algorithm for categorizing fish species at risk
Tegos, Georgios/ Onkov, Kolyo/ Τέγος, Γεώργιος
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tegos, Georgios | el |
dc.contributor.author | Onkov, Kolyo | el |
dc.contributor.other | Τέγος, Γεώργιος | el |
dc.date.accessioned | 2015-07-14T06:41:34Z | el |
dc.date.accessioned | 2018-02-27T18:49:58Z | - |
dc.date.available | 2015-07-14T06:41:34Z | el |
dc.date.available | 2018-02-27T18:49:58Z | - |
dc.date.issued | 2009-12 | el |
dc.identifier | 10.3808 | el |
dc.identifier | http://www.iseis.org/jei/abstract.asp?no=200900156 | el |
dc.identifier.citation | Journal: Journal of Environmental Informatics, vol.14, no.2, 2009 | el |
dc.identifier.citation | Onkov, K.Z. ,Tegos, G. (2009). Algorithm for Gategorizing Fish Species at Risk. Journal of Environmental Informatics 14, (2). Διαθέσιμο σε: http://www.iseis.org/jei/abstract.asp?no=200900156 (Ανακτήθηκε 14 Ιουλίου 2015). | el |
dc.identifier.issn | 1726-2135 | el |
dc.identifier.issn | 1684-8799 | el |
dc.identifier.uri | http://195.251.240.227/jspui/handle/123456789/5339 | - |
dc.description | Δημοσιεύσεις μελών--ΣΔΟ--Τμήμα Λογιστικής,2009 | el |
dc.description.abstract | The paper presents an algorithmic approach for analysis of statistical data on quantity of fish catches stored in time series datasets. The developed algorithm applies trend modeling and categorizing rules for processing total data on fish species catches as well as data on fish species catches by areas. This algorithm finds out the fish species that might be at risk and groups them accordingly into the following four categories: a) economical, b) biological, c) biodiversity and d) biological and biodiversity. The analysis of these categories supports planning for future activities referring to the sustainability of the fishery ecosystem in Greece. The presented algorithm is applied on the sea fishery time series data from Greece, but it can also be applied on the same data from other countries or on the same type of integrated data from many countries belonging to big fishing areas (e.g. the Mediterranean Sea) towards data mining of fish species at risk. | el |
dc.language.iso | en | el |
dc.publisher | International Society for Environmental Information Sciences | el |
dc.rights | To τεκμήριο πιθανώς υπόκειται σε σχετική με τα Πνευματικά Δικαιώματα νομοθεσία | el |
dc.rights | This item is probably protected by Copyright Legislation | el |
dc.source.uri | http://www.iseis.org/jei/ | el |
dc.subject | Economical, biological and biodiversity risk | el |
dc.subject | Fishery ecosystem | el |
dc.subject | Time series datasets | el |
dc.subject | Categorizing rules | el |
dc.title | Algorithm for categorizing fish species at risk | el |
dc.type | Article | el |
heal.type | other | el |
heal.type.en | Other | en |
heal.dateAvailable | 2018-02-27T18:50:58Z | - |
heal.language | el | el |
heal.access | free | el |
heal.recordProvider | ΤΕΙ Θεσσαλονίκης | el |
heal.fullTextAvailability | false | el |
heal.type.el | Άλλο | el |
Appears in Collections: | Δημοσιεύσεις σε Περιοδικά |
Files in This Item:
There are no files associated with this item.
Please use this identifier to cite or link to this item:
This item is a favorite for 0 people.
http://195.251.240.227/jspui/handle/123456789/5339
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.