{"title":"知识发现与数据挖掘新进展","authors":"F. Mhamdi, M. Elloumi","doi":"10.1109/RCIS.2008.4632134","DOIUrl":null,"url":null,"abstract":"Knowledge discovery is an emerging field where we combine techniques from algorithmics, artificial intelligence, mathematics and statistics to deal with the theoretical and practical issues of extracting knowledge, i.e., new concepts or concept relationships hidden in volumes of raw data. Knowledge discovery offers the capacity to automate complex search and data analysis tasks.","PeriodicalId":416272,"journal":{"name":"2008 Second International Conference on Research Challenges in Information Science","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"A new survey on knowledge discovery and data mining\",\"authors\":\"F. Mhamdi, M. Elloumi\",\"doi\":\"10.1109/RCIS.2008.4632134\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Knowledge discovery is an emerging field where we combine techniques from algorithmics, artificial intelligence, mathematics and statistics to deal with the theoretical and practical issues of extracting knowledge, i.e., new concepts or concept relationships hidden in volumes of raw data. Knowledge discovery offers the capacity to automate complex search and data analysis tasks.\",\"PeriodicalId\":416272,\"journal\":{\"name\":\"2008 Second International Conference on Research Challenges in Information Science\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Second International Conference on Research Challenges in Information Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RCIS.2008.4632134\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Second International Conference on Research Challenges in Information Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCIS.2008.4632134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new survey on knowledge discovery and data mining
Knowledge discovery is an emerging field where we combine techniques from algorithmics, artificial intelligence, mathematics and statistics to deal with the theoretical and practical issues of extracting knowledge, i.e., new concepts or concept relationships hidden in volumes of raw data. Knowledge discovery offers the capacity to automate complex search and data analysis tasks.