Theoretical and Applied Economics
No. 12 / 2014 (601)
Data mining of transactional data for sales of dairy products
Varna University of Economics, Bulgaria
Abstract. The purpose of this article is to find out the most important factors for sales of dairy products. Transactional data for sales are used. This article is published for the first time. The results of the analysis will show how transactional data may be used for data mining. SPSS is used to analyze the data. Statistical methods (such as independent samples t-test, Chi-square tests, Mann-Whitney U test, one-way ANOVA test) are applied to find dependencies. We suppose that the quantity of sales depends on the year, month, group, item and average price. At the end of the study we found out that “year” and “group” are factors which mostly influence the quantity of a sale. Factors “month”, “item” and “average sale price” do not affect the quantity of a single sale. Mathematical formulas are derived to predict the quantity of a future sale on the basis of independent variables such as year and group of stock.
Contents
Data mining of transactional data for sales of dairy products
Research on the evolution of controlling tasks and their delimitation from audit tasks
Franchise’s place within sustainable development matrix: an Institutional Economics approach
Sensory experience – between the tourist and the marketer
Covering the social costs of market failure – the unsub of the value added
Determinants of capital structure: comparison of empirical evidence for the use of different estimators
How can Africa attract different forms of capital flow: theoretical perspectives
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Psychological biases and the capital structure decisions: a literature review
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Is Cash Conversion Cycles Optimum in Turkish Listed Food-Beverage Firms?
Comparative analysis of the financial discount rate and of the net present value of a public investment project throughout its life