PROVIDING SYNTHETIC DATA MINING MODEL USING ASSOCIATION RULES AND CLUSTERING FOR DETERMINING DISCOUNTING STRATEGY (CASE STUDY: PEGAH DISTRIBUTION CO.)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KHADIVAR A.; HAMEDI P.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF BUSINESS STRATEGIES Year:2015 | Volume:22 | Issue:5 Page(s): 39-52

Download Full-Text

Persian Verion

View:

2,099

Download:

Cites:

Information Journal Paper

Title

PROVIDING SYNTHETIC DATA MINING MODEL USING ASSOCIATION RULES AND CLUSTERING FOR DETERMINING DISCOUNTING STRATEGY (CASE STUDY: PEGAH DISTRIBUTION CO.)

Author(s)

KHADIVAR A. | HAMEDI P. | Issue Writer Certificate

Keywords

DATA MININGQ2

ASSOCIATION RULEQ1

K-MEAN ALGORITHMQ2

CUSTOMERQ2

DISCOUNTINGQ2

RFMQ2

APPRIORI ALGORITHMQ1

Abstract

Sales promotion is important issue in most of sales and distribution companies and finding the most appropriate strategy for this subject is marketers’ challenge. DISCOUNTING (offering) is one of sales promotion strategies. Using the fixed and constant DISCOUNTING strategy for all CUSTOMERs and on all goods reduces chance for success. DISCOUNTING strategy needs a model for providing best prices to CUSTOMERs. This is applied descriptive survey in which DATA MINING was applied as a tool for creating a DISCOUNTING strategy. In this research, ASSOCIATION RULE and clustering were used for determining an appropriate DISCOUNTING strategy.RFM and K-Means were applied to cluster CUSTOMERs and achieve optimized cluster number. Then, rules available in each cluster for different goods were extracted. Finally, appropriate DISCOUNTING strategies were considered according to features of CUSTOMERs in each cluster. Findings indicated that the best number of clusters for this company’s CUSTOMERs is 8 clusters. The CUSTOMERs were categorized into two categories of premium and hesitant. DISCOUNTING strategies were identified based on results from ASSOCIATION RULE and interview with experts and specific DISCOUNTING policies were assigned for different purchases of each category.

Cites

No record.

References

Cite

APA: Copy

KHADIVAR, A., & HAMEDI, P.. (2015). PROVIDING SYNTHETIC DATA MINING MODEL USING ASSOCIATION RULES AND CLUSTERING FOR DETERMINING DISCOUNTING STRATEGY (CASE STUDY: PEGAH DISTRIBUTION CO.). JOURNAL OF BUSINESS STRATEGIES, 22(5), 39-52. SID. https://sid.ir/paper/252984/en

Vancouver: Copy

KHADIVAR A., HAMEDI P.. PROVIDING SYNTHETIC DATA MINING MODEL USING ASSOCIATION RULES AND CLUSTERING FOR DETERMINING DISCOUNTING STRATEGY (CASE STUDY: PEGAH DISTRIBUTION CO.). JOURNAL OF BUSINESS STRATEGIES[Internet]. 2015;22(5):39-52. Available from: https://sid.ir/paper/252984/en

IEEE: Copy

A. KHADIVAR, and P. HAMEDI, “PROVIDING SYNTHETIC DATA MINING MODEL USING ASSOCIATION RULES AND CLUSTERING FOR DETERMINING DISCOUNTING STRATEGY (CASE STUDY: PEGAH DISTRIBUTION CO.),” JOURNAL OF BUSINESS STRATEGIES, vol. 22, no. 5, pp. 39–52, 2015, [Online]. Available: https://sid.ir/paper/252984/en

Related Journal Papers