非結構化數據 的英文怎麼說

中文拼音 [fēijiēgòuhuàshǔjù]
非結構化數據 英文
unstructured data
  • 非 : Ⅰ名詞1 （錯誤） mistake; wrong; errors 2 （指非洲） short for africa 3 （姓氏） a surname Ⅱ動詞1 ...
  • 結 : 結動詞（長出果實或種子） bear （fruit）; form （seed）
  • 構 : Ⅰ動詞1 （構造; 組合） construct; form; compose 2 （結成） fabricate; make up 3 （建造; 架屋） bui...
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 據 : 據Ⅰ動詞1 （占據） occupy; seize 2 （憑借; 依靠） rely on; depend on Ⅱ介詞（按照; 依據） according...
  • 結構 : 1 （各組成部分的搭配形式） structure; composition; construction; formation; constitution; fabric;...
  • 數據 : data; record; information
  1. We can divide web data into two kinds : structural data and unstructured data. we have maturer methords to deal with structural data. however, because traditional database bottom can not deal with unstructured data, a wey that deal with unstructured data need be presented

    對于結構化的web數據，已經有較為成熟的解決方法；而對于非結構化的web數據，由於傳統數據庫的底層問題，不能用來處理非結構化數據，迫切希望能提出一種方法進行非結構化數據的處理。
  2. At the same time, combined with the current situation and development trend of computer, communication and information management, the author advanced the basic frames and functions for designing the office automation. in this research, we advanced an office automaton project based on lotus domino / notes and realized the main parts : constructed the collaboration flat based on lotus domino, developed the data interface by which nonstructural notes database can access structural relative database, based on this, intergrated the organization workflow, information management and the other operation systems into one flat, then multilayerly disposed and used the information very expediently, laid the groundwork for communicating the information circulatio n inside and outside the organization and realizing the non - paper work.

    在本課題的研究中，提出了一種基於lotusdomino notes平臺的辦公自動化方案，並實現了該方案中主要部分：搭建了基於lotusdomino的協作平臺，開發了非結構化的notes數據庫訪問結構化的關系數據庫的數據庫數據訪問介面，以此為基礎，將組織中的工作流、信息處理以及其它業務系統都集成到一個協作平臺上，從而較便捷地對信息進行多層面的處理與使用，為溝通組織內、外信息的流通，實現無紙辦公奠定了基礎。
  3. This system is set up on the existing search engine foundations through web services " technology, has solved variety and non - structural web data with xml technology, has formed web multi - level data base, and constructed the system structure in high performance of data warehouse, utilized midas technology to form the high - performance index storehouse structure, has remedied the deficiency of search engines at coverage, accuracy etc, and improved efficiency of information retrieval

    該系統通過webservices技術，建立在現有搜索引擎基礎之上，以xml技術解決了多樣性和非結構性的web數據轉換，形成了web多層次數據庫，利用了web挖掘面向結構化或半結構化數據的智能化數據抽取和知識發現過程，並且構造了數據倉庫的高性能查詢體系結構? hpqs ，利用midas技術形成了高性能索引庫結構，彌補了當前搜索引擎在覆蓋范圍、準確率、復雜查詢語言的使用和結果表現方式等方面的不足，改善了信息檢索的效率。
  4. Including the testing of the validity of sensor data and the adapting of the q matrix in reai - time, the kalman filter is researched to improve the real - time, precision and robust of navigation system. with this method, the disturbances resulted from the many uncertainties in non - structure agricultural environment can be overcome, the movement of road line can be followed in the image space so that the technology of visual window can be used, the current measured state of wheeled mobile robot can be substituted by the predicted state to increase the real - time of control system

    包括傳感器數據有效性檢驗、 q陣自適應實時調整等內容，詳細地研究了利用擴展卡爾曼濾波理論改善導航系統實時性、精確性和可靠性的具體方法，以克服農田非結構化自然環境里存在的多種不確定因素給導航系統造成的干擾，跟蹤圖像空間中路徑目標的運動而便於有效地利用視覺窗口技術，提供輪式機器人狀態的預測值代替實測值進行導航控制來改善控制系統的實時性等
  5. As a content repository for both structured and unstructured data

    作為結構化和非結構化數據的內容資料庫。
  6. Mysql handles unstructured data using its series of blob data types

    Mysql使用blob數據類型系列處理非結構化數據。
  7. Contains unstructured data

    包含非結構化數據。
  8. The uima components bridge from the unstructured data fields in the source data to structured extracted data

    Uima組件從源數據中的非結構化數據欄位中提取出結構化的數據。
  9. After that, a solution to unstructured data management and the integration of multiple data resource was given in this paper

    針對業務過程數據管理，給出了非結構化數據管理和數據源集成的解決方法。
  10. Many scientists present web matedata in order to slove the problem. web metadata can transform unstructured data into structural data

    為了解決這個問題，很多研究者提出了為web數據建立元數據，可將非結構化數據變成結構化或半結構化數據。
  11. The databases in your grid might contain structured and unstructured data, flat files and other objects stored in file systems, as illustrated in figure 1

    網格中的數據庫可能包含結構化和非結構化的數據、大文件以及在文件系統中存儲的其他文件對象，如圖1所示。
  12. Unstructured information, in contrast, involves free text reports, documents, web pages, life science data, audio, video, and so on

    相反，非結構化信息包括了免費的文本報告、文檔、 web頁面、生命科學數據、音頻、視頻等等。
  13. We also place emphasis on research of apriori and fp - growth algorithm and compare the performance of two algorithms. secondly, we do research on concepts of structured and nonstructured data, actual state and problems of tree structure mining, and freetreeminer algorithm theory. we also study canonical form and pre - processing technologies of free - tree, concepts and properties of closed and maximal tree, and pruning, growing and mining of tree structure

    其次，研究了結構化與非結構化數據的基本概念、樹結構挖掘的研究現狀、現有樹結構挖掘技術存在的問題、 freetreeminer演算法及其基本思想，重點研究了free樹的規范化和預處理技術、封閉頻繁子樹和最大頻繁子樹的概念和性質、樹結構的剪枝和生長技術、樹結構的挖掘技術。
  14. The system described in this paper uses the technology of metadata and xml to implement the function of data shared, which assure the original character of resource without any change in that metadata is good at describing the non - structural data and xml is extensible dynamically to describe structural data

    本文採用將元數據和xml相結合的技術手段，利用元數據善於描述非結構化數據的特性，加上xml的可描述可動態擴展的特性來描述結構化數據，從而在保證不破壞或更改原有遺留系統資源的前提下，實現了對多種類型的分散式數據的共享。
  15. About the integrated system, the three - tier architecture of the system based on the distributed technology and the technology of remote saving and reading of big non - structural data and the methods of second - time development of cad software catia v5 and seamless integration between the cad software and integrated intelligent design system based on ole automation are explained

    在系統集成方面研究了基於分散式技術的三層體系結構、大型非結構化數據的遠程存儲和讀取技術、基於ole自動化技術的catiav5的二次開發以及該軟體與智能化設計系統集成的方法。
  16. By the analyses on the disorder and non - structural data of huge number, this research would efficiently help to pick up the useful information, and collect and release the second - and the third - selected information for the information management, enquiry and optimization, support of decision - making, and process control, which enables data become the important resource for enterprise management, decision - making and strategy development

    基於流程的質量數據研究通過對無序的、海量的非結構化數據的分析開采，有效地提取有用的信息，組織和發布高質量的二次或三次專業信息，用於信息管理、查詢優化、決策支持和過程式控制制，使數據成為企業管理決策和戰略發展服務的資源。
  17. While this application is very simple, it illustrates the main features of using uima to bridge between the worlds of unstructured and structured data

    盡管這個應用程序非常簡單，但是它說明了使用uima在非結構化數據和結構化數據之間建立聯系的主要特性。
  18. With ibm websphere information integrator, you can access and join structured and unstructured data from several data sources by using a single sql statement

    使用ibm db2 information integrator ，您可以使用單一sql語句訪問並連接幾個數據源中的結構化和非結構化數據。
  19. Lastly, fastsoa uses a native xml database for mid - tier caching because soa data is normally encoded in xml format, and relational databases do a poor job of persisting and indexing hierarchical unstructured data such as xml

    最後， fastsoa使用本機xml數據庫作為中間層緩沖，因為soa數據通常採用xml編碼格式，而關系數據庫在持久存儲和索引xml這樣的層次性非結構化數據方面有很大不足。
  20. With the development of computer network technology, enterprises start to develop many application system based on various software and hardware platform, consequently many abundant data source are accumulated, including structured data in database, non - structured data in file system, semi - structured data in web service. in the sake of avoiding reconstructing and wasting of data source, enterprises are eager to integrate these heterogeneous data source, which are separated in the locations and self - managed in management and heterogeneous in data module

    隨著計算機及網路技術的快速發展，各企業單位開發了大量的軟硬體平臺各異的應用系統，在各種應用系統下又積累了豐富的數據資源，如數據庫中的結構化數據、文件系統中的非結構化數據、 web系統中的半結構化數據等，這些數據資源由於軟硬體平臺各異、數據模型各異而形成了異構數據。
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