Informatics Publishing Limited

B. Aruna ¹, G. S. Nandakumar ¹, P. Jothi ¹

Affiliations
1 Department of Computer Science, Kumaraguru College of Technology, Coimbatore, IN

Abstract

In Data mining, Association rules are used to find the relationship among the correlated products. Association rules helps in increasing the productivity, growth, sales of the products. Finding interesting Association rule from large dataset is a major problem. The objective of this paper is to find the frequent items and their Association rules from large dataset by processing the data separately and combining the results later, which can find more interesting relationships.

Keywords

Apriori Algorithm, Frequent Itemsets, Association Rules, Dataset, Confidence, Support.

Full Text

     

A. N. Ganeshamurthy ¹, T. R. Rupa ¹, Karusala Alivelu ², S. Rajendran ¹, R. H. Laxman ¹, G. Ramanandan ¹, S. Mohapatra ¹, B. Aruna ¹

Affiliations
1 Indian Institute of Horticultural Research, Hessaraghatta Lake Post, Bengaluru 560 089, IN
2 Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad 500 030, IN

Abstract

Sapota fruit tree biomass cannot be estimated using general forest tree allometric equations involving measurement of diameter at breast height (DBH) as grafted sapota tree branches below this height. Therefore grafted sapota trees of commercial orchards require an independent allometric equation for nondestructive estimation of tree biomass. Sapota allometric equations were hence developed with a destructive sampling of grafted sapota trees using parameters other than DBH and compared with other equations developed for grafted mangoes. The selected allometric parameters were significantly related to the age of the trees. The root-to-shoot ratio also differed from those reported for forest trees. The biomass expansion factor by and large attained stability beyond 16 years of tree age. The equations so developed generally fitted the data well, and in most cases, more than 50% of the observed variation in biomass was explained by primary branch girth ´ number of primary branches. There was a good agreement between the observed and the predicted bio­mass using both multiple linear regression and power model equations. Further, our purpose was to see if the grafted mango tree equation can predict sapota tree biomass. The results of this study confirmed that the mango equation equally predicts sapota tree biomass and hence the mango tree allometric equation can also be used for estimating sapota tree biomass efficiently.

Keywords

Allometric equation, biomass expansion factor, grafted trees, mango, sapota.

Full Text