Supermarket Commodity Sales Forecast Based on Data Mining
نویسندگان
چکیده
منابع مشابه
A Sales Forecast Model for the German Automobile Market Based on Time Series Analysis and Data Mining Methods
In this contribution, various sales forecast models for the German automobile market are developed and tested. Our most important criteria for the assessment of these models are the quality of the prediction as well as an easy explicability. Yearly, quarterly and monthly data for newly registered automobiles from 1992 to 2007 serve as the basis for the tests of these models. The time series mod...
متن کاملData Mining in Supermarket: A Survey
One of the most motivating areas of research is data mining that becomes continuously popular in supermarket analysis. For discovering new trends mining plays an important role in supermarket analysis which is helpful for all parties associated with this field. The process of data mining is to extract data by automatic or semi-automatic means. Data mining consists of artificial intelligence, ma...
متن کاملUrban Residential Load Combined Forecast Model Based on Data Mining Techniques and Panel Data Theory
As a result of rapid urban economic development and improvement in living standards, urban residential electricity consumption in China is increasing quickly. Although the factors which influence the urban residential load are complex, an objective analysis followed by the setting up of a logical urban residential load forecast model can offer a scientific basis for decisions regarding urban po...
متن کاملUsing online search data to forecast new product sales
Title of Dissertation: USING ONLINE SEARCH DATA TO FORECAST NEW PRODUCT SALES Gauri M. Kulkarni, Doctor of Philosophy, 2010 Dissertation directed by: Professor P.K. Kannan and Professor Wendy W. Moe Department of Marketing This dissertation focuses on online search as a measure of consumer interest. Internet use is at an all-time high in the United States, and according to the Pew Internet & Am...
متن کاملData sanitization in association rule mining based on impact factor
Data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. It transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Hans Journal of Data Mining
سال: 2018
ISSN: 2163-145X,2163-1468
DOI: 10.12677/hjdm.2018.82008