Matteo Lissandrini, D. Mottin, Themis Palpanas, Yannis Velegrakis
{"title":"使用基于示例的方法进行数据探索","authors":"Matteo Lissandrini, D. Mottin, Themis Palpanas, Yannis Velegrakis","doi":"10.2200/S00881ED1V01Y201810DTM053","DOIUrl":null,"url":null,"abstract":"Abstract Data usually comes in a plethora of formats and dimensions, rendering the information extraction and exploration processes challenging. Thus, being able to perform exploratory analyses of ...","PeriodicalId":187413,"journal":{"name":"Synthesis Lectures on Data Management","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Data Exploration Using Example-Based Methods\",\"authors\":\"Matteo Lissandrini, D. Mottin, Themis Palpanas, Yannis Velegrakis\",\"doi\":\"10.2200/S00881ED1V01Y201810DTM053\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Data usually comes in a plethora of formats and dimensions, rendering the information extraction and exploration processes challenging. Thus, being able to perform exploratory analyses of ...\",\"PeriodicalId\":187413,\"journal\":{\"name\":\"Synthesis Lectures on Data Management\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Synthesis Lectures on Data Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2200/S00881ED1V01Y201810DTM053\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Synthesis Lectures on Data Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2200/S00881ED1V01Y201810DTM053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Abstract Data usually comes in a plethora of formats and dimensions, rendering the information extraction and exploration processes challenging. Thus, being able to perform exploratory analyses of ...