{"title":"挖掘以产品为条件部分的零售中购买行为的变化","authors":"P. Bala","doi":"10.1109/IADCC.2010.5423033","DOIUrl":null,"url":null,"abstract":"Change mining gives an insight to the retailers on the changing purchase patterns of the shoppers. Purchase pattern of shoppers sometimes depends on other products purchased. Hence, conditional part of a pattern in the form of an association rule contains products. The research paper proposes an approach for change mining where conditional part may contain products or items.","PeriodicalId":249763,"journal":{"name":"2010 IEEE 2nd International Advance Computing Conference (IACC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Mining changes in purchase behavior in retail sale with products as conditional part\",\"authors\":\"P. Bala\",\"doi\":\"10.1109/IADCC.2010.5423033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Change mining gives an insight to the retailers on the changing purchase patterns of the shoppers. Purchase pattern of shoppers sometimes depends on other products purchased. Hence, conditional part of a pattern in the form of an association rule contains products. The research paper proposes an approach for change mining where conditional part may contain products or items.\",\"PeriodicalId\":249763,\"journal\":{\"name\":\"2010 IEEE 2nd International Advance Computing Conference (IACC)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 2nd International Advance Computing Conference (IACC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IADCC.2010.5423033\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 2nd International Advance Computing Conference (IACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IADCC.2010.5423033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mining changes in purchase behavior in retail sale with products as conditional part
Change mining gives an insight to the retailers on the changing purchase patterns of the shoppers. Purchase pattern of shoppers sometimes depends on other products purchased. Hence, conditional part of a pattern in the form of an association rule contains products. The research paper proposes an approach for change mining where conditional part may contain products or items.