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Leila Mortazavifarr ; Narsis Zarshenas ;Ciência e Natura 2015, 37 6-2

Autor: Hooman Fetanat

Fuente: http://www.redalyc.org/articulo.oa?id=467547683013


Introducción



Ciência e Natura ISSN: 0100-8307 cienciaenaturarevista@gmail.com Universidade Federal de Santa Maria Brasil Fetanat, Hooman; Mortazavifarr, Leila; Zarshenas, Narsis The analysis of agricultural data with regression data mining technique Ciência e Natura, vol.
37, núm.
6-2, 2015, pp.
102-107 Universidade Federal de Santa Maria Santa Maria, Brasil Available in: http:--www.redalyc.org-articulo.oa?id=467547683013 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative 102 Ciência e Natura, v.
37 Part 2 jun.
2015, p.
102−107 ISSN impressa: 0100-8307 ISSN on-line: 2179-460X The analysis of agricultural data with regression data mining technique Hooman Fetanat1, Leila Mortazavifarr2 ,Narsis Zarshenas 3 1 2 Iran,Shiraz, Faculty:Zand Department of ICT,Computer Faculty,Zand University Iran,Shiraz, Faculty:Zand Department of ICT,Computer Faculty,Zand University 3Iran, Shiraz, Faculty: Agricultur Faculty,Shiraz University Abstract Data mining is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both.
Data mining software is one of a number of analytical tools for analyzing data.
Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases.
This paper discusses data mining technique such as regression and clustering which is a process model for analyzing data and describes the support that SPSS provides for this model.
SPSS-based analysis and application construction process is illustrated through a case study in the agricultural domain-ornamental plants.
Cluster analysis or clustering was used is the task of assigning a set of objects into groups so that ...





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