STANA: A Decision Support System for Supermarkets

 
9783659287251: STANA: A Decision Support System for Supermarkets

The introduction of computerized technology particularly the electronic Point of Sales (POS) to supermarkets confronted marketing decision makers with vast resources of data. POS databases are multi-dimensional, comprised of monthly and daily transaction records, therefore time-consuming to analyze. This has led to a new desire on the part of managers to understand the behavioral demand for majority of customers and make better marketing decisions based on new variables. This research presents the use of data mining models, Kmeans clustering and Apriori Association rule, to construct pricing and store layout decision support system for retail or marketing managers.

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Book Description Book Condition: New. Publisher/Verlag: LAP Lambert Academic Publishing | The introduction of computerized technology particularly the electronic Point of Sales (POS) to supermarkets confronted marketing decision makers with vast resources of data. POS databases are multi-dimensional, comprised of monthly and daily transaction records, therefore time-consuming to analyze. This has led to a new desire on the part of managers to understand the behavioral demand for majority of customers and make better marketing decisions based on new variables. This research presents the use of data mining models, Kmeans clustering and Apriori Association rule, to construct pricing and store layout decision support system for retail or marketing managers. | Format: Paperback | Language/Sprache: english | 148 pp. Bookseller Inventory # K9783659287251

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Book Description LAP Lambert Academic Publishing. Paperback. Book Condition: New. 148 pages. Dimensions: 9.0in. x 6.0in. x 0.3in.The introduction of computerized technology particularly the electronic Point of Sales (POS) to supermarkets confronted marketing decision makers with vast resources of data. POS databases are multi-dimensional, comprised of monthly and daily transaction records, therefore time-consuming to analyze. This has led to a new desire on the part of managers to understand the behavioral demand for majority of customers and make better marketing decisions based on new variables. This research presents the use of data mining models, Kmeans clustering and Apriori Association rule, to construct pricing and store layout decision support system for retail or marketing managers. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9783659287251

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Book Description LAP Lambert Academic Publishing Mai 2015, 2015. Taschenbuch. Book Condition: Neu. Neuware - The introduction of computerized technology particularly the electronic Point of Sales (POS) to supermarkets confronted marketing decision makers with vast resources of data. POS databases are multi-dimensional, comprised of monthly and daily transaction records, therefore time-consuming to analyze. This has led to a new desire on the part of managers to understand the behavioral demand for majority of customers and make better marketing decisions based on new variables. This research presents the use of data mining models, Kmeans clustering and Apriori Association rule, to construct pricing and store layout decision support system for retail or marketing managers. 148 pp. Englisch. Bookseller Inventory # 9783659287251

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Book Description LAP Lambert Academic Publishing Mai 2015, 2015. Taschenbuch. Book Condition: Neu. Neuware - The introduction of computerized technology particularly the electronic Point of Sales (POS) to supermarkets confronted marketing decision makers with vast resources of data. POS databases are multi-dimensional, comprised of monthly and daily transaction records, therefore time-consuming to analyze. This has led to a new desire on the part of managers to understand the behavioral demand for majority of customers and make better marketing decisions based on new variables. This research presents the use of data mining models, Kmeans clustering and Apriori Association rule, to construct pricing and store layout decision support system for retail or marketing managers. 148 pp. Englisch. Bookseller Inventory # 9783659287251

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Book Description LAP Lambert Academic Publishing, 2015. Paperback. Book Condition: New. Language: English . Brand New Book ***** Print on Demand *****.The introduction of computerized technology particularly the electronic Point of Sales (POS) to supermarkets confronted marketing decision makers with vast resources of data. POS databases are multi-dimensional, comprised of monthly and daily transaction records, therefore time-consuming to analyze. This has led to a new desire on the part of managers to understand the behavioral demand for majority of customers and make better marketing decisions based on new variables. This research presents the use of data mining models, Kmeans clustering and Apriori Association rule, to construct pricing and store layout decision support system for retail or marketing managers. Bookseller Inventory # AAV9783659287251

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Book Description LAP Lambert Academic Publishing Mai 2015, 2015. Taschenbuch. Book Condition: Neu. This item is printed on demand - Print on Demand Neuware - The introduction of computerized technology particularly the electronic Point of Sales (POS) to supermarkets confronted marketing decision makers with vast resources of data. POS databases are multi-dimensional, comprised of monthly and daily transaction records, therefore time-consuming to analyze. This has led to a new desire on the part of managers to understand the behavioral demand for majority of customers and make better marketing decisions based on new variables. This research presents the use of data mining models, Kmeans clustering and Apriori Association rule, to construct pricing and store layout decision support system for retail or marketing managers. 148 pp. Englisch. Bookseller Inventory # 9783659287251

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