海量數據 的英文怎麼說

中文拼音 [hǎiliángshǔjù]
海量數據 英文
a huge quantity of data
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 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...
  • 海量 : 1. [敬] （寬洪的度量） magnanimity 2. （酒量大） great capacity for liquor
  • 數據 : data; record; information
  1. In conclusion, it is primarily described that the expectable social and economical benefits of this mis are great, and the design can be fulfilled smoothly. the difficulty of this thesis is : not only think about the coordination each other synthetically on workers, equipments, technologies, data and user ' s priorities, different project and different continuation day, but also must ensure that it is agility, controllable and safe when the data be transmitted on internet or intranet

    本管理信息系統強調是針對無形的數據信息產品（ gis等海量數據）的生產管理信息系統，不是單純的統計計算，還要實施嚴密的控制，除需要綜合考慮人員、設備、技能技術、權限、工程、工期在計劃調度統計方面的協調性外，還需要強調海量數據信息產品的原始數據、半成品、成品在網路上流動的靈活性、可控制性和安全性。
  2. It is very urgent for people to transform them into useful information and knowledge, and apply them in business administration, production control and forecasting, etc. as a kind of technology for extracting information from large quantity of data, data mining and knowledge discovery has become a significant research problem which has important theoretical and practical values, and attracts widely attention in international academe

    世界進入信息時代，在各個領域存在大量數據，人們迫切需要將它們轉換成有用的信息和知識，以應用於商務管理、生產控制和預測等方面。數據挖掘和知識發現作為從海量數據中提取信息的一種技術，已經成為當前一個具有重要理論和應用價值的研究課題，在國際學術界引起了廣泛關注。
  3. Then, this thesis has put forward a kind of solution to the mass data problem from the angle of the products storehouse, namely the data products disposal model

    於是，本文從產品庫的角度提出了對于海量數據查詢效率問題的一種解決方案，即數據產品處理模型，主要探討了海量數據在關系數據庫中的應用。
  4. Network forensics is an important extension to present security infrastructure, and is becoming the research focus of forensic investigators and network security researchers. however many challenges still exist in conducting network forensics : the sheer amount of data generated by the network ; the comprehensibility of evidences extracted from collected data ; the efficiency of evidence analysis methods, etc. against above challenges, by taking the advantage of both the great learning capability and the comprehensibility of the analyzed results of decision tree technology and fuzzy logic, the researcher develops a fuzzy decision tree based network forensics system to aid an investigator in analyzing computer crime in network environments and automatically extract digital evidence. at the end of the paper, the experimental comparison results between our proposed method and other popular methods are presented. experimental results show that the system can classify most kinds of events ( 91. 16 ? correct classification rate on average ), provide analyzed and comprehensible information for a forensic expert and automate or semi - automate the process of forensic analysis

    網路取證是對現有網路安全體系的必要擴展，已日益成為研究的重點.但目前在進行網路取證時仍存在很多挑戰:如網路產生的海量數據;從已收集數據中提取的證據的可理解性;證據分析方法的有效性等.針對上述問題，利用模糊決策樹技術強大的學習能力及其分析結果的易理解性，開發了一種基於模糊決策樹的網路取證分析系統，以協助網路取證人員在網路環境下對計算機犯罪事件進行取證分析.給出了該方法的實驗結果以及與現有方法的對照分析結果.實驗結果表明，該系統可以對大多數網路事件進行識別（平均正確分類率為91 . 16 ? ） ，能為網路取證人員提供可理解的信息，協助取證人員進行快速高效的證據分析
  5. After analyzing the character of risk, i introduce data mining method into risk management, to solve the contradiction between great capacity of data and lack of information, the methods include mathematics statistics and artificial neural network ( ann ). then, i study on the methods of risk management in risk identification, risk evaluation and risk disposal, what is advanced, fault tree analysis method based on fuzzy probability, stochastic simulation method and the topsis method based on interval number all consider the characteristic of risk. finally, i discussed the application of information system ( mis ) in project risk management, and developed a risk management information system

    論文在深入分析了風險特徵之後，將數據挖掘技術引入風險管理，用以解決海量數據與貧乏信息之間的矛盾，所採用的技術有數理統計和人工神經網路（ ann ）兩種方法；接著，論文對風險識別、風險評價、風險處理中的風險管理方法進行了研究，所提出的基於模糊概率的故障樹技術、隨機模擬技術和基於區間數的topsis方法都體現了風險管理的特點；最後，論文對信息系統（ mis ）在工程項目風險管理中的應用進行了探討，開發出一個風險管理信息系統。
  6. Especially, the module of students ’ grade analysis only does such simple things as statistics analysis or data sorting. as a result, a great deal of useful information hidden in mass data can ’ t be utilized efficiently

    尤其是其中的學生成績分析模塊，往往只有簡單的一些功能，而隱藏在海量數據中的大量有用信息不能得到有效地利用。
  7. Data mining, also known as knowledge discovery in database, distills knowledge from a mass of data

    數據挖掘就是從海量數據中提取知識，又被稱為數據庫中的知識發現。
  8. The symbols used by one cartographer can be saved and moved between different pc, then different cartographers may use the same symbols to design map and get the same map result. how to quickly design a map is discussed finally

    最後從實際工程需要出發，研究如何提高海量數據的制圖效率，引入了模板庫的概念，利用模板庫保存符號、比例尺、圖例、指北針等的風格樣式，制圖者通過模板庫來共享勞動成果。
  9. Magnanimity data is commonly faced in data mining

    在數據挖掘中經常面對的數據為海量數據。
  10. The new york reforms rely on collecting a lot of data

    紐約改革的成功有賴于收集了海量數據。
  11. Taking all sorts of factor like cost and storage capability into account, people mostly use tertiary storage equipment like tape library or optical disk library as the primary storage medium to store massive data. at present, a three layer storage system composed of main memory, disk and tertiary storage has already been the primary storage structure of massive data

    從成本和存儲容量等因素綜合考慮，目前人們大都採用將磁帶庫、光盤庫等第三級存儲設備作為海量數據的主要存儲介質，並與主存、磁盤一起構成一個三級的存儲系統作海量數據的存儲結構。
  12. Or, put more concretely, programs like 3d games and scientific applications deal with very large amounts of data, but the groups of instructions that operate on these large data chunks are usually very small

    或者，更確切地來講，像3d游戲已經科學處理這樣子的程序需要處理大快的海量數據，但是處理這些大塊的海量數據的指令卻往往很少。
  13. So, building application - oriented benchmark can effectively resolve the performance problem of building massive database

    因此，建立面向應用的benchmark能夠有效的解決構建海量數據庫的性能問題。
  14. Research of personalized recommender system based on data mining on magnanimity data

    基於海量數據挖掘的個性化推薦系統
  15. This dissertation mainly introduces the key technology and innovative research of ws - dfs, such as web - based architecture, flexible component model, distributed local file storage unit, parallel access control and high efficiently organize and index for huge amount data

    本文主要論述基於web服務的分散式文件服務系統的關鍵技術及創新研究，包括體系結構、靈活的組件模型、全分佈的本地文件存儲單元、數據並發訪問控制和海量數據高效的組織和檢索等六個方面的研究成果。
  16. New requirement has been raised for new technology and automatic implement to transform magnanimity data to knowledge

    存儲數據的爆炸性增長業已激起對新技術和自動化工具的需求，以便幫助我們將海量數據轉變成信息和知識。
  17. It put forward some strategy for improvement and at last presents a new forensics method, “ suspect characteristic - computer activity information database ”. this method points out a new direction for analyzing massive data, narrowing analyzing scope and seeking electronic evidence. it also introduces a new way to correlate the words in “ text correlation analysis ”, which is on the basis of data mining

    本文的第四章在對現有電子證據的分析技術總結和分析的基礎上，對比了各個方法的優缺點，並對一些方法提出了自己改進策略，最後提出了自己的新的取證分析方法思路「計算機犯罪行為分析庫」該方法為分析海量數據，盡快縮小分析范圍，尋找電子證據提出了新的方向;基於語義分析和數據挖掘的「文本關聯分析」為自動構建關鍵詞庫和發現詞語間的聯系提供了新的方法。
  18. Query processing on massive data stored in three layers storage system is studied in this dissertation. queries are divided to three kinds which are d - query, t - query and td - query base on where the data accessed is stored ( on the disk or on the tertiary storage )

    根據需要訪問的數據存儲位置的不同（磁盤上還是第三級存儲器上） ，將三級存儲系統中海量數據的查詢分為d - query 、 t - query和td - query三類。
  19. The rise and development of data mining technology and data warehouse solution provides the practical application academic gist and technological support, and brings new turning point to the synthetic application of waybill information at the same time

    數據挖掘技術與數據倉庫解決方案的興起與迅速發展，為海量數據的實際應用提供了理論依據與技術支持，為貨票信息的綜合應用帶來了新的契機。
  20. From the point of railway modernization management we can use mathematical method to mine useful information from magnanimity waybill data and develop waybill information synthetic application system which serves for the transportation management and decision - making by applying data mining technology and consulting data warehouse solution

    從鐵路現代化運營的角度來看，可以應用數據挖掘技術，參照數據倉庫解決方案，對貨票系統長期積累的海量數據用數學方法進行挖掘，將數據處理的重點從傳統的業務處理擴展到對運輸數據的聯機分析處理，建造以數據挖掘技術為核心的決策支持系統? ?貨票信息綜合應用系統，為運輸管理和決策服務。
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