An analysis of Data mining techniques, multidimensional modelling on agriculture
DOI:
https://doi.org/10.29070/f3sb8583Keywords:
Data mining, Agriculture, Bugs, Climate change, AlgorithmsAbstract
This articles analysis the “An analysis of Data mining techniques, multidimensional modelling on agriculture.” The sole method for using and obtaining knowledge from large data sets is data mining. Samples are taken in increments from various locations within a bag. A consignment can contain up to 30 bags, of which one must be selected at random from each bag. For consignments containing 50 bags, however, samples of the Magadh division blocks in Bihar must be obtained from each bag. additionally to investigate how changing weather affects agriculture and how data mining in government platforms is formed. Whether there is a positive correlation between weather changes and agricultural and big data mining. Results shows that the Big Data mining has positive co-relation (r=.8) on weather changing on agriculture. The results confirms the hypothesis.
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