{"title":"协作和分布式KDD过程设计的平台","authors":"C. Diamantini, D. Potena, Emanuele Storti","doi":"10.1109/CTS.2012.6261118","DOIUrl":null,"url":null,"abstract":"Knowledge Discovery in Databases (KDD) is a complex and computationally intensive process aimed at extracting knowledge from large amounts of data. To provide effective support to users, especially non-experts, in this work we propose a knowledge-centric platform specifically aimed at supporting collaborative design of KDD processes in distributed environments.","PeriodicalId":200122,"journal":{"name":"2012 International Conference on Collaboration Technologies and Systems (CTS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A platform for collaborative and distributed KDD process design\",\"authors\":\"C. Diamantini, D. Potena, Emanuele Storti\",\"doi\":\"10.1109/CTS.2012.6261118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Knowledge Discovery in Databases (KDD) is a complex and computationally intensive process aimed at extracting knowledge from large amounts of data. To provide effective support to users, especially non-experts, in this work we propose a knowledge-centric platform specifically aimed at supporting collaborative design of KDD processes in distributed environments.\",\"PeriodicalId\":200122,\"journal\":{\"name\":\"2012 International Conference on Collaboration Technologies and Systems (CTS)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Collaboration Technologies and Systems (CTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CTS.2012.6261118\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Collaboration Technologies and Systems (CTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CTS.2012.6261118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A platform for collaborative and distributed KDD process design
Knowledge Discovery in Databases (KDD) is a complex and computationally intensive process aimed at extracting knowledge from large amounts of data. To provide effective support to users, especially non-experts, in this work we propose a knowledge-centric platform specifically aimed at supporting collaborative design of KDD processes in distributed environments.