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首页> 外文期刊>International Journal of Computer Science and Technology >Estimating Effort in Comprehensive Software Development Using NN, ABE, GAFLANN
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Estimating Effort in Comprehensive Software Development Using NN, ABE, GAFLANN

机译：使用NN，ABE，GAFLANN进行综合软件开发的估算工作量

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摘要

Seeking the World Wide Web can be both profitable and inadequate in today鈥檚 life. Furthermore all accumulation of literary information contains expansive measure of organized data which stays covered up in unstructured configuration. Significant data is constantly hard to discover in these archives. You may discover unlimited measures of data, or you may not discover the sorts of data you鈥檙e searching for. Seeking online will furnish you with an abundance of data, yet not every last bit of it will be helpful or of the most astounding quality. In this paper we are consider an option approach for substance and inquiry looking taking into account Facilitating Document Annotation for the organized metadata by distinguishing reports in general framework that are prone to contain data of hobby and this data will be helpful for substance of questioning the database. Here distributer will prone to allot metadata, organized or unstructured identified with reports which they transfer which will effortlessly help the clients in recovering the records. Presently a-days numerous associations create and share enlightening and printed information of their items, administrations, and activities. Such kind of accumulations of printed information contain noteworthy measure of organized data, which stays spared in the unstructured content. While data extraction calculations encourage the extraction of organized relations in an exceptionally costly and wrong way particularly when working on top of content that does not contain any occurrences of the focused on organized data. There are numerous option approaches that encourage the era of the organized metadata by recognizing archives that are liable to contain data of hobby and this data will be along these lines valuable for questioning the database which depends on the thought that people will probably include the essential metadata amid creation time. This should be possible like provoking by the interface; or that it ought to make much less demanding for people (and/or calculations) to distinguish the metadata when such data really exists in the record, rather than gullibly inciting clients to fill in structures with data that is not accessible in the report. There are distinctive calculations that recognize organized ascribes that are prone to show up inside the archive, by mutually using the substance of the content and the inquiry workload.
机译：在当今的生活中，寻求万维网既可能盈利又可能不足。此外，文学信息的所有积累都包含对组织数据的广泛度量，这些数据被掩盖在非结构化配置中。在这些档案中，经常很难发现大量数据。您可能会发现无限量的数据，或者可能不会发现要搜索的数据种类。在线搜索将为您提供大量数据，但并不是最后的数据会有所帮助或具有最惊人的质量。在本文中，我们考虑通过在通用框架中区分易于包含爱好数据的报告来区分组织元数据的便利文档注释，从而考虑实质性和查询性的可选方法，该数据将有助于对数据库的实质性提问。在此，分发者将倾向于分配元数据，这些元数据是组织的或非结构化的，并由他们传输的报告标识，这将毫不费力地帮助客户恢复记录。目前，每天有许多协会创建并共享有关其项目，管理和活动的启发性和印刷信息。这类打印信息的积累包含对组织数据的显着衡量，而这些数据则保留在非结构化内容中。尽管数据提取计算鼓励以异常昂贵和错误的方式提取组织关系，尤其是在处理不包含任何集中于组织数据的内容的内容时。有很多选择方法可以通过识别易于包含爱好数据的档案来鼓励有组织的元数据时代，而这些数据将沿着这些思路对质疑数据库有价值，这取决于人们可能会包括基本元数据的想法。在创造时间中。这应该是可能的，例如通过界面激发;或在记录中确实存在这样的数据时，应该使人们（和/或计算）区分元数据的要求降低得多，而不是粗暴地煽动客户使用报表中不可访问的数据来填充结构。通过相互使用内容的实质和查询工作量，可以识别出易于出现在档案中的有组织的归因的独特计算。

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