Abstract: A method and system for data mining is disclosed in which advertising/promotional events (e.g., the fact that a promotion was taking place when the transaction was recorded) are factored into association analysis of the data. Sales data is integrated with advertising data and a plurality of taxonomies are employed to link the merchandise data with the advertising data. This enhances the data so that the advertising status (advertised or non-advertised) can be determined and this information can be used to track the impact of advertising on product dynamics in market baskets and on sales. Further, for those articles that are advertised, detailed information about the advertising used is also available and integrated into the analysis so that, for example, the effectiveness or lack of effectiveness of a particular advertisement can be determined.

Abstract: A method and system for data mining is disclosed in which advertising/promotional events (e.g., the fact that a promotion was taking place when the transaction was recorded) are factored into association analysis of the data. Sales data is integrated with advertising data and a plurality of taxonomies are employed to link the merchandise data with the advertising data. This enhances the data so that the advertising status (advertised or non-advertised) can be determined and this information can be used to track the impact of advertising on product dynamics in market baskets and on sales. Further, for those articles that are advertised, detailed information about the advertising used is also available and integrated into the analysis so that, for example, the effectiveness or lack of effectiveness of a particular advertisement can be determined.

Abstract: A method and system for data mining is disclosed in which advertising/promotional events (e.g., the fact that a promotion was taking place when the transaction was recorded) are factored into association analysis of the data. Sales data is integrated with advertising data and a plurality of taxonomies are employed to link the merchandise data with the advertising data. This enhances the data so that the advertising status (advertised or non-advertised) can be determined and this information can be used to track the impact of advertising on product dynamics in market baskets and on sales. Further, for those articles that are advertised, detailed information about the advertising used is also available and integrated into the analysis so that, for example, the effectiveness or lack of effectiveness of a particular advertisement can be determined.

Abstract: A method and system for data mining is disclosed in which the premise and/or conclusion of an association rule can include overall attributes of an entire basket (e.g., its total dollar value). The items contained in a single aggregate sale (e.g., all of the purchased items in a particular market basket, referred to herein as a “market basket grouping”) are characterized according to predetermined attributes. Each attribute is identified and an “imaginary item” is included in the data for each market basket grouping which possesses an identified attribute. When the data is subjected to traditional association analysis, the imaginary items are included in the analysis and may be utilized to identify frequent itemsets that are typically found in market basket groupings having the identified characteristics.