{"title":"市场购物篮数据的动态项目集计数和隐含规则","authors":"S. Brin, R. Motwani, J. Ullman, S. Tsur","doi":"10.1145/253262.253325","DOIUrl":null,"url":null,"abstract":"We consider the problem of analyzing market-basket data and present several important contributions. First, we present a new algorithm for finding large itemsets which uses fewer passes over the da...","PeriodicalId":49524,"journal":{"name":"Sigmod Record","volume":"1 1","pages":""},"PeriodicalIF":0.9000,"publicationDate":"1997-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/253262.253325","citationCount":"214","resultStr":"{\"title\":\"Dynamic itemset counting and implication rules for market basket data\",\"authors\":\"S. Brin, R. Motwani, J. Ullman, S. Tsur\",\"doi\":\"10.1145/253262.253325\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider the problem of analyzing market-basket data and present several important contributions. First, we present a new algorithm for finding large itemsets which uses fewer passes over the da...\",\"PeriodicalId\":49524,\"journal\":{\"name\":\"Sigmod Record\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"1997-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1145/253262.253325\",\"citationCount\":\"214\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sigmod Record\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1145/253262.253325\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sigmod Record","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/253262.253325","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Dynamic itemset counting and implication rules for market basket data
We consider the problem of analyzing market-basket data and present several important contributions. First, we present a new algorithm for finding large itemsets which uses fewer passes over the da...
期刊介绍:
SIGMOD investigates the development and application of database technology to support the full range of data management needs. The scope of interests and members is wide with an almost equal mix of people from industryand academia. SIGMOD sponsors an annual conference that is regarded as one of the most important in the field, particularly for practitioners.
Areas of Special Interest:
Active and temporal data management, data mining and models, database programming languages, databases on the WWW, distributed data management, engineering, federated multi-database and mobile management, query processing & optimization, rapid application development tools, spatial data management, user interfaces.