A hybrid approach to modelling the climate change effects on Malaysia’s oil palm yield at the regional scale

Advances in Intelligent Systems and Computing

Volumn 287, Issue , 2014, Pages 335-346

  Shanmuganathan, Subana ^a,b   Narayanan, Ajit ^a,c   Mohamed, Maryati ^d,f   Ibrahim, Rosziati ^e,f   Khalid, Haron ^g  

^a AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

^b Geoinformatics Research Centre (GRC)   (New Zealand)

^c School of Computer and Mathematical Sciences (SCMS)   (New Zealand)

^d Department of Technology and Human Development ^*  (New Zealand)

^e Research   (New Zealand)

^f UNIVERSITI TUN HUSSEIN ONN MALAYSIA   (Malaysia)

^g MPOB Research Station Kluang   (Malaysia)

Author keywords

Data mining (association rules); JRip; Regression test; WEKA

Indexed keywords

ASSOCIATION RULES; DATA MINING; FOOD SUPPLY; OIL SHALE; OILS AND FATS; PALM OIL; SOFT COMPUTING;

FOOD SECURITY; FRUIT PRODUCTION; HYBRID APPROACH; JRIP; REGIONAL SCALE; REGRESSION TESTS; SMALL DATA SET; WEKA;

CLIMATE CHANGE;

EID: 84918523563     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-07692-8_32     Document Type: Article

References (7)

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7. NOAA (2012), http://www.ncdc.noaa.gov/cdo-web??