數據分析技術 的英文怎麼說

中文拼音 [shǔjùfēnxījìshù]
數據分析技術 英文
dataanalysis techniques
  • 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...
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 析 : Ⅰ動詞1. （分開; 散開） divide; separate 2. （分析） analyse; dissect; resolve Ⅱ名詞（姓氏） a surname
  • 技 : 名詞（技能; 本領） skill; ability; trick; technique
  • 術 : 術名詞1. （技藝; 技術; 學術） art; skill; technique 2. （方法; 策略） method; tactics 3. （姓氏） a surname
  • 數據 : data; record; information
  1. In this article i do a lot of analysis for the data formed in the mobile samples with the basis of the research of data mining, mainly including : it analyses and summarizes the theory and technology of data, especially the further discussion of the data mining algorithm for time sequential. it introduces the course of the test curve of the power transmission system of electric mobile and discusses the technology and methods of pretreatment for curve data. it studies and develops the antitype system for the analyses of test curve data of the power transmission system of electric mobile with the mining and analysis of test curve data of the power transmission system of electric mobile and the basis of the algorithm of time sequential

    本文以目前數據挖掘的研究為基礎，對汽車樣品試驗中形成的大量數據進行分析處理，主要研究內容包括:分析和綜述了數據挖掘理論基礎和相關技術，特別是對時間序列挖掘演算法進行了深入的討論介紹了電動汽車動力傳動系統檢測曲線生成的基本過程，討論了曲線數據的預處理技術與方法以時間序列挖掘演算法為基礎，對電動汽車動力傳動系統檢測曲線數據進行了挖掘與分析，研究並開發了電動汽車動力傳動系統檢測曲線數據分析原型系統。
  2. The research of this paper includes three parts : the first, according to the statistical figures about the cargo transport in recent years, it analyzes cargo transport structure and the changing law and the internal reason of cargo transport. at the same time it analyzes and calculates the change of the arriving ships " structure for a systematic and full understand of the transport demands. the second, it make a scientific forecast of the port ' s future cargo capacity making use of the grey forecast system, which provides scientific basis for medium - long term development plan of the port ' s cargo handling capacity

    本文研究的工作主要分三個部分：第一，根據張家港近年來有關貨物運輸的一些統計數據，對貨物運輸的結構和規模演變的規律及內在原因作一剖析，同時對到港船舶的結構變化進行預測，以求對運輸需求有一個系統全面的了解；第二，應用灰色預測系統對張家港港未來港口貨運吞吐量進行科學預測，為張家港港貨物裝卸能力規劃提供科學依據；應用物元分析技術對張家港港口的未來發展前景作出一定程度的分析、研究，找出張家港港口未來發展規劃的零散無序、不成系統的因素，總結前人經驗的基礎上採用綜合評判物元模型進行評判，在預測港口未來發展規劃是否科學實際上具有獨到見解。
  3. Researching on and analyzing technology of data warehouse

    數據倉庫技術研究與分析
  4. This article mainly contains following several contents : ( 1 ) analyzed the connotation and the tools of knowledge management as well as the combine - relation of e - government - affairs system, and proposed the system framework electronic government - affairs system based on the knowledge management ( km ) ; ( 2 ) some crucial technologies in knowledge management are studied : knowledge representation technology, knowledge discursion technology as well as data mining technology

    本文主要涉及以下幾個方面的內容: （ 1 ）分析了知識管理的內涵、工具以及與電子政務系統的結合關系，提出了基於知識管理（ knowledgemanagement ，簡稱km ）的電子政務系統的體系結構; （ 2 ）對知識管理中的幾個關鍵技術進行了研究:知識表達技術、知識推理技術以及數據挖掘技術。
  5. This paper recurred to the basic theory of rough set of data mining and under the direction of the frame of intelligent decision, the main theories include i ) the different methods of data mining on the base of rough set are used to deal with typical decision system namely consistent decision system and inconsistent decision system in order to carry through data reduction and rule distilment ; ii ) in the environment of dynamic increment database, the methods of data reduction to deal with the original data and increment data are discussed in the consistent and inconsistent decision system ; iii ) the method of data mining of rough set is analysized to treat with the attributes with priority ; iv ) on the base of basic rough set theory, the data analysis methods of amalgamation of rough set theory ; v ) and also the pre - disposal method to database is analysize

    本文從系統工程進行決策分析的角度出發，藉助數據挖掘技術中粗糙集的基本理論，在智能決策框架的指導下，研究了基於數據挖掘的智能決策理論及方法。主要理論包括：如何利用粗糙集對典型的決策系統即相容性決策系統和不相容性決策系統運用不同的數據挖掘方法進行有效的數據約減和規則提取；在增量動態的數據庫環境下討論了在典型決策系統中對原始數據和增量數據進行數據約減的方法；分析了帶有優先權屬性的粗糙集數據挖掘方法；以基本粗糙集為基礎探討了粗糙集擴展模型的數據分析方法；研究了粗糙集數據預處理方法。
  6. The ids of the paper is network - based anomaly detection system. with the help of data mining technology, we bring forward a measure to describe the normal state of the network traffic and user behavior and extracting the useful rule from large network data. so we can establish the knowledge warehouse which describe the normal state of the network traffic and user behavior. the knowledge warehouse can be the standard in order to judge the normal state. we can find the dubitable connections according to account the state and anomly instances of connections

    論文在描述網路應用和用戶行為時採用數據挖掘技術從海量的網路數據中提取有用的規則，構建了一個描述正常狀態下的網路應用和用戶行為的規則集，這個規則集是用來判斷網路應用和用戶行為是否正常的標準，論文根據這個標準分析當前網路連接的異常情況，將可疑的連接找出來。
  7. Using online analytical processing and data mining, provides a flatform with full aspect and deep hierarchy

    在此數據集合中，以聯機分析處理、數據挖掘等數據分析技術，為醫藥經銷企業提供全方面、深層次的數據展現平臺。
  8. The data analysis techniques in software measurement

    軟體度量中的數據分析技術
  9. Further more, the thesis is based on the customer ' s accounts of the mianyang filiale, china unicom which is idle long time but it includes many information that is worth, just as the time, the frequency to talk of the customer. from this thesis we further understand the action of the customer and we do our plan surely, provide service abundant and then it benefits our company better

    更重要的是，本文通過對現有資源的整合、數據分析技術的引入、數據倉庫及crm的研究，有效利用了中國聯通綿陽分公司在電信業務運營的過程中積累的大量的用戶話單。長期以來，這些反映了用戶通話的時間、時長和頻率等重要信息的話單處于閑置狀態。
  10. Firstly, having analyzed the present research situation on agricultural climate resources by gis at home and abroad, this thesis illustrates the importance of establishing agricultural climate resources information system. secondly, basing on developmental and integrative environment of arc view gis software, as well as developmental languages ( avenue and vb ), we design agricultural climate resources information system in fujian province with friendly and practical graphic user interface, together with comparatively perfect functions. finally, supported by fjacris, based on fujian province fundamental geographic data and agricultural climate resources database on 71 weather stations, relied on mathematic analysis techniques ( such as multiple statistical analysis, fuzzy mathematics etc ), a group of models are established to reckon the agricultural climate resources on small grids 41 indexes of agricultural climate resources are reckoned to the small grids that are 0. 004 longitude multiplied by 0. 004 latitude

    本文首先通過對國內外運用gis進行農業氣候資源研究的現狀的分析，闡明了建立農業氣候資源信息系統的重要意義：接著以arcviewgis為軟體開發集成環境，並以avenue和vb為開發語言，進行了福建省農業氣候資源信息系統的設計和開發，設計出友好、實用的用戶界面，開發出較為完善的系統功能；最後在該系統的支持下，以福建省基礎地理數據和71個氣象臺站的農業氣候資源數據庫為數據源，應用多元統計、模糊數學等數學分析技術，構建了農業氣候資源的小網格推算模型，將福建省農業氣候資源的41個有關指標推算至0 . 004經度0 . 004緯度的地表網格單元上，全面地揭示了全省農業氣候資源的空間分佈規律，並在此基礎上完成了比較細致、精確和可靠的農業氣候系統功能的模糊綜合評價，以及綜合農業氣候區劃和專題農業氣候區劃。
  11. As a trade center city chongqing must establish a set of e - business platform and a assistant net in merchandise capital credit settlement. in addition chongqing must adopt information means and technology of data analysis to promote the level in management and technology of supply chain so that there will have most sale quantity in internet

    重慶作為一個商貿中心城市，必須樹立起一批具有強勁輻射力的電子商務平臺，並建立完善的商品、資金、信用結算配套網路，運用信息化手段和數據分析技術，提升商品管理技術和供應鏈技術水平，最大限度地實現網上銷售，滿足消費者省時、便利的購買傾向。
  12. Data mining is a profound data analysis technology developed in recent years

    數據挖掘就是近年發展起來的深層次的數據分析技術。
  13. Data mining is the data analysis technology that finds unknown knowledge in the large amount of data

    數據挖掘技術是在大量的數據中發現未知知識的數據分析技術。
  14. Reliability data analysis techniques - procedures for comparison of two constant failure rates and two constant failure intensities

    可靠性數據分析技術.兩種恆定故障率和兩種恆定故障
  15. The unit provides an introduction to modern statistical principles and practice with special emphasis on data analytical techniques

    本課程是現代統計學原理和實踐基礎課程，特別強調數據分析技術。
  16. For resolving this problem, knowledge discovery in data ( kdd ) and data - mining technology are presented to find the information resources

    知識發現和數據挖掘技術就是為迎合這種需要而出現的一種用於開發信息資源的新型數據分析技術。
  17. Although there have been a lot of statistic technology about proceeding data, the advanced intelligent data analasy technology has n ' t been matured

    雖然已經有很多對數據進行分析的簡單統計技術，但高級的智能數據分析技術還遠未成熟。
  18. Recently, application of an innovative and efficient data analysis techniques in system identification and damage detection of civil structures is receiving much attention

    近來一種新型而有效的數據分析技術? hilbert - huangspectralanalysis （ hhsa ）在結構的系統識和別損傷診斷的研究中受到了廣泛的關注。
  19. The first algorithm uses an iterative self - organizing data analysis technique and fuzzy clustering analysis theory. it is fast, simple and easy for programming, but more suitable for small system. the second one is a recursive algorithm

    首先採用模糊聚類分析中的迭代自組織數據分析技術（ iterativeself - organizingdataanalysistechniquea ） ，提出了改進isodata不良數據辨識法；其次，提出了遞推不良數據辨識法。
  20. Computer forensics demands that problem concerned with computer crime investigation should be treated from the aspects of law and technique : make the most use of and develop the current data obtaining technique and data - analyzing technique, discover data related to computer crime, ensure and relativity between fact and evidence ; quicken law developments, establishment computer evidence " s law position ; obtain the evidence according to the legal procedure, and insure the legitimacy of evidence obtaining ; establish the accurate storing system both from management and from technique, enhancing the investigation and judgment of computer evidence, and ensuring the dependability of computer evidence

    計算機取證就需要從法律和技術兩個角度來看待計算機犯罪偵查方面的一些問題：充分運用和發展現有的數據獲取技術和數據分析技術，發掘與計算機犯罪相關的證據，確保證據與犯罪事實的相關性；加快法律建設，確立計算機證據的法律地位；依照法定程序獲取證據，確保證據取得的合法性；建立一個從管理和技術上都可靠的保管鏈，加強對計算機證據的科學嚴密的審查判斷，保證計算機證據的真實可靠性。
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