{"title":"以每秒千兆字节的速度挖掘非结构化文本","authors":"A. Ratner","doi":"10.1109/ICDMW.2008.9","DOIUrl":null,"url":null,"abstract":"Humans communicate with text in thousands of languages, in dozens of scripts, in a variety of binary codes, on millions of topics. There is a need, for both government and commercial applications, to identify these text characteristics to enable follow-on processing such as transcoding, translation, transliteration, routing and prioritization. This paper deals with the implementation of real-time mining of unstructured text on high-speed hardware capable of processing network data streams at gigabyte per second speeds.","PeriodicalId":175955,"journal":{"name":"2008 IEEE International Conference on Data Mining Workshops","volume":"84 12","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mining Unstructured Text at Gigabyte per Second Speeds\",\"authors\":\"A. Ratner\",\"doi\":\"10.1109/ICDMW.2008.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Humans communicate with text in thousands of languages, in dozens of scripts, in a variety of binary codes, on millions of topics. There is a need, for both government and commercial applications, to identify these text characteristics to enable follow-on processing such as transcoding, translation, transliteration, routing and prioritization. This paper deals with the implementation of real-time mining of unstructured text on high-speed hardware capable of processing network data streams at gigabyte per second speeds.\",\"PeriodicalId\":175955,\"journal\":{\"name\":\"2008 IEEE International Conference on Data Mining Workshops\",\"volume\":\"84 12\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Conference on Data Mining Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDMW.2008.9\",\"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 IEEE International Conference on Data Mining Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDMW.2008.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mining Unstructured Text at Gigabyte per Second Speeds
Humans communicate with text in thousands of languages, in dozens of scripts, in a variety of binary codes, on millions of topics. There is a need, for both government and commercial applications, to identify these text characteristics to enable follow-on processing such as transcoding, translation, transliteration, routing and prioritization. This paper deals with the implementation of real-time mining of unstructured text on high-speed hardware capable of processing network data streams at gigabyte per second speeds.