{"title":"面向电子商务应用的Web挖掘","authors":"Jian-guo Liu, Zheng-hong Huang, Wei-Ping Wu","doi":"10.1109/PDCAT.2003.1236436","DOIUrl":null,"url":null,"abstract":"Electronic business is generating massive amount of data on customer purchases, browsing patterns, usage times and preferences at an increasing rate. Web mining techniques can be applied on all the data being collected for obtaining useful information. We attempt to present issues associated with Web mining for electronic business.","PeriodicalId":145111,"journal":{"name":"Proceedings of the Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Web mining for electronic business application\",\"authors\":\"Jian-guo Liu, Zheng-hong Huang, Wei-Ping Wu\",\"doi\":\"10.1109/PDCAT.2003.1236436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electronic business is generating massive amount of data on customer purchases, browsing patterns, usage times and preferences at an increasing rate. Web mining techniques can be applied on all the data being collected for obtaining useful information. We attempt to present issues associated with Web mining for electronic business.\",\"PeriodicalId\":145111,\"journal\":{\"name\":\"Proceedings of the Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PDCAT.2003.1236436\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDCAT.2003.1236436","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Electronic business is generating massive amount of data on customer purchases, browsing patterns, usage times and preferences at an increasing rate. Web mining techniques can be applied on all the data being collected for obtaining useful information. We attempt to present issues associated with Web mining for electronic business.