{"title":"用于部署分析应用程序和服务的基于PMML和UIMA的框架","authors":"D. Ferrucci, R. Grossman, A. Levas","doi":"10.1145/1289612.1289614","DOIUrl":null,"url":null,"abstract":"It is convenient to divide data into structured data, semi-structured data and unstructured data. By structured data, we mean data that is organized into fields or attributes. Examples include database records. Semi-structured data has attributes but does not have the regularity of structured data. Data defined by HTML or XML tags are examples of semi-structured data. Unstructured data lacks attributes or fields and includes text data, signals, images, video, audio or similar data. Of course, data may be a combination of one or more of these types. For example, the content of a message can be unstructured text and the metadata semi-structured XML tags.","PeriodicalId":413380,"journal":{"name":"Proceedings of the 4th international workshop on Data mining standards, services and platforms","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"PMML and UIMA based frameworks for deploying analytic applications and services\",\"authors\":\"D. Ferrucci, R. Grossman, A. Levas\",\"doi\":\"10.1145/1289612.1289614\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is convenient to divide data into structured data, semi-structured data and unstructured data. By structured data, we mean data that is organized into fields or attributes. Examples include database records. Semi-structured data has attributes but does not have the regularity of structured data. Data defined by HTML or XML tags are examples of semi-structured data. Unstructured data lacks attributes or fields and includes text data, signals, images, video, audio or similar data. Of course, data may be a combination of one or more of these types. For example, the content of a message can be unstructured text and the metadata semi-structured XML tags.\",\"PeriodicalId\":413380,\"journal\":{\"name\":\"Proceedings of the 4th international workshop on Data mining standards, services and platforms\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th international workshop on Data mining standards, services and platforms\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1289612.1289614\",\"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 4th international workshop on Data mining standards, services and platforms","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1289612.1289614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PMML and UIMA based frameworks for deploying analytic applications and services
It is convenient to divide data into structured data, semi-structured data and unstructured data. By structured data, we mean data that is organized into fields or attributes. Examples include database records. Semi-structured data has attributes but does not have the regularity of structured data. Data defined by HTML or XML tags are examples of semi-structured data. Unstructured data lacks attributes or fields and includes text data, signals, images, video, audio or similar data. Of course, data may be a combination of one or more of these types. For example, the content of a message can be unstructured text and the metadata semi-structured XML tags.
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