18 results with keyword: 'implementation of data mining to predict food sales rate method using apriori'
The data used is the sales transaction data Fonzu Premium restaurant in June 2018. Samples above data used as an example in using the association rule
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Step 2: Rule generation: Create rules from each frequent itemset using the binary partition of frequent itemsets and look for the ones with high confidence. These rules are called
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Human Resources Analyst: Functions may include, but are not limited to, the following: participate in a wide range of recruitment and
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Suppose there are m factories called origins or sources produce aI (i=1,2……,m) units of products which are to be transported to n destinations with bJ (J=1,2,……,n) unity of
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For the sales strategy of large scale manufacture, a study of market basket analysis was conducted using data mining Association rules.. 5.1
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An approach to apply association rule mining is proposed by using Apriori algorithm to predict the defects in the specific software system.. We applied the Apriori on open
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Very little expander flange movement was observed while attaching the new piping. Since this was the desired effect, the monitoring showed a successful outcome. Offset value
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The influences of the charge, carbon chain length, and content of surfactant on the physicochemical char- acteristics (ie, vesicle size, zeta potential, elasticity, and entrap-
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frequent occurring itemsets are mined. In Pattern analysis the most occurring frequent itemsets are mined. This work proposed an iterative method which uses Divisive based
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conversions of retirement plan accounts and/or IRAs to Roth IRAs in 2010 and later years
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This paper proposes and exhibits a method to determine user-specific movie ratings using various data mining techniques such as Apriori and Collaborative
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To deal with this problem, we have focused the first part of our analysis selecting some particular areas of Milan or some days of the December 2013 where we have information on
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A new approach using the temporal BPL data mining method has been presented which helps to predict solar flares from past event information (temporal distances and burst rate
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3 rd Annual Siena College Student Conference in Business April 18, 2008.. EMPOWERING YOUNG PEOPLE THROUGH ENTREPRENEURSHIP:
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Apte ; A data mining approach for prediction of heart disease using neural networks. International Journal of Computer Science and
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10.2.3.2 Verification of resistance of insulating materials to normal heat Meets the product standard's requirements.. 10.2.3.3 Verification of resistance of insulating materials
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The method used in this study consists of four steps: data mining from transaction history data of customer sales, data mining modeling using RFM and customer
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