數據關聯方法 的英文怎麼說

中文拼音 [shǔjùguānliánfāngfǎ]
數據關聯方法 英文
data correlation method
  • 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...
  • 關 : Ⅰ動詞1 （使開著的物體合攏） close; shut 2 （圈起來） shut in; lock up 3 （倒閉; 歇業） close down...
  • 聯 : Ⅰ動詞（聯結; 聯合） unite; join Ⅱ名詞（對聯） antithetical couplet
  • 方 : Ⅰ名詞1 （方形; 方體） square 2 [數學] （乘方） involution; power 3 （方向） direction 4 （方面） ...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 數據 : data; record; information
  • 方法 : method; means; way; technique; process; procedure; plan; device; recipe; fashion; tool; maneuver
  1. And then it emphasizes the structure model and the process of data warehouse, the ways of extracting data from operation model and guiding into the data warehouse, the realization techniques of dealing with data synthetically, as well as the mechanism of how to superadd the upper data into the data warehouse, and introduces the realization techniques of the mining model of association rule, the apriori and the fp - growth arithmetic particularly

    接著重點討論了數據倉庫的構建模型和構建過程，從操作型環境抽取數據並導入數據倉庫方法，對數據進行綜合處理的實現技術，以及後期數據如何追加到數據倉庫的機制，並詳細介紹了關聯規則挖掘模型， apriori演算法，和fp - growth演算法的實現技術。
  2. This article canvass the status quo of the archive ' s automatization administration and the develop status of data mining, and discusses how to combine the data mining technology with the archive work from data cleaning means, data mining arithmetic, and data storage etc. and this article put forword a data mining syst em design idea. this article ' s structure is : first, in allusion to the archive data status quo, the pretreatment work of archive data that include data quality evaluation, data cleaning and data commut - ation process is bringed forword ; second, in the process of realizating data mining, the article discusses conception description, association rule, class three familiar means of applicating data mining, also put inforword the concrete arithmetic and the program design chart, and discusses the range and the foreground of all kinds of arithmetic when they are applicated in the archive ; third, the base of so you say, this article also discusses the importance of the archice applicate data storage and the means of realizing it ; last, the article discusses seval important problem of realizing an archive data mining system from data, diversity, arithmetic multiformity, mining result variety and the data pretreatment visibility, mining object descriptive visibility, mining process visibility, mining result visibil ity, user demand description and problem defining etc aspect. the article ' s core is how to import data mining technology in the archive work

    本文評述了檔案自動化管理現狀和數據挖掘技術的發展狀況，從數據清洗方法、數據挖掘演算法、數據倉庫的建立等方面論述了如何將數據挖掘技術與檔案工作相結合的具體思路，並提出了一個數據挖掘系統的設計思想。文章首先，針對檔案數據的現狀，提出了應對檔案數據進行預處理工作，包括數據質量評估、數據清理、數據變換和歸約等過程；其次，在具體實現數據挖掘過程中，本文結合檔案數據的特點探討了概念描述、關聯規則、分類等三種常見挖掘形式的實現方法，提出了具體的實現演算法和程序設計框圖，並論述了各種演算法在檔案工作中的應用范圍及前景；第三，在上述基礎上，又論述數據倉庫在檔案數據挖掘中的重要性並提出了實現一個檔案數據倉庫的方法；最後，從處理數據的多樣性、演算法的多樣性、挖掘結果的多樣性、數據預處理可視化、挖掘對象描述的可視化、挖掘過程可視化、結果顯示可視化、用戶需求的描述及問題定義等幾方面討論了實現一個檔案數據挖掘系統的幾個重點問題。全文以探討如何將數據挖掘技術引入到具體的檔案工作實踐中為核心。
  3. With the help of the desiign principle of standardized database, it concludes the approach how to eliminate transfer dependence on the correlative tables, and discusses the way of how to use entity - relationship ( e - r ) model to design the database

    論文還通過範式及規范理論，推導了如何消除關系表中的傳遞依賴，並討論了使用實體聯系（ e - r ）模型設計數據庫的方法。
  4. The definition and characteristics of sdm are set forth, and a structure of spatial data mining system including data source, miner and user interface is put forward. the essential processes of sdm are studied and nine types of rules resulting in mining are discussed. there are 17 kinds of spatial data mining approaches researched in this paper and each method ' s characteristics are analyzed

    闡述了空間數據挖掘的定義與特點，提出一種包括數據源、挖掘器、用戶界面三層結構的空間數據挖掘體系結構，闡述空間數據挖掘的基本步驟和從空間數據庫中能發現的九種知識類型，系統研究了17種空間數據挖掘方法，闡述了各種方法的特點和適用范圍，闡述了空間數據挖掘與其它相關學科的區別與聯系，指出空間數據挖掘的主要研究方向，提出開發空間數據挖掘系統的幾條原則。
  5. In chapter 4, the datastructure of engineering budget and several complicated data processes in engineering budget are analyzed, such as ration management, engineering quantity management, price of material management, data conversion, then the realized method of which is presented

    第四章，對工程預算系統中的數據結構、預算過程中的定額庫管理、工程量管理、工料機信息價管理和預算數據關聯換算分別進行了分析，並給出了相應的實現方法。
  6. By employing the state - space model for pulse trains, kalman filter and probabilistic data association, the thesis develops a deinterleaving algorithm for tracking mode in chapter 5. the interacting multiple models ( imm ) approach is implemented to simultaneously estimate the pulse train pris of multiple emitters

    論文第五章引入了基於卡爾曼濾波和概率數據關聯方法進行脈沖列分析和去交錯的研究，為輻射源跟蹤狀態下的去交錯技術提供了理論依據和評估標準。
  7. In this dissertation, several technology problems of pulse trains deintrleaving algorithms are dealt with, they are presorting techniques based on coherent processor, probabilistic neural network deinterleavers, adaptive data association methods for pulse trains analysis and deinterleaving, signal processor designing issues. the research is focused on real time processing. the coherent processor is a crucial technique for real time presorting

    本論文研究高密度復雜信號下的脈沖列去交錯技術的若干問題，包括基於關聯比較器的信號預分選技術研究；概率神經網路脈沖去交錯器的研究與設計；卡爾曼濾波和概率數據關聯方法用於脈沖列分析和去交錯；雷達截獲系統信號處理器設計等等。
  8. The fuzzy probabilistic data association of multiple targets tracking is presented in this paper, which define a target ? uzzy set on the measurement set at time k and then use fuzzy least mean square error method to estimate target states

    給出了一種多目標跟蹤的模糊概率數據關聯方法，該方法在k時刻的回波集上定義一個目標模糊集，表示回波與目標之間的模糊關系。然後基於目標模糊集，利用模糊最小均方誤差估計方法對目標狀態作出估計。
  9. The order of our discussions " about these tasks is as follows : firstly, we pay more attention to the characteristics and difficulties of its environment including the concept, typical system model, main challenges, mobile network connection and soft application. secondly, according to mobile specialties of the environment we make the sort of data into four kinds : general data, time series, spatial data and time - spatial data, and present general processing of data mining. lastly, we discuss the methods of data mining of these four kinds respectively : after the introduction of the actuality of data mining of every kind, an algorithm of rule updating based on rough set is given, then put forward the processing of data related to mobile users and flow chat according to characteristics of the other three kinds

    本文對以上任務的討論順序安排如下：首先是對移動計算環境的技術特點和難點進行討論，包括移動計算的概念和典型系統模型、主要挑戰、移動聯網以及軟體應用這幾個大的方面；其次根據移動環境的移動特性把移動計算環境中的數據分為普通數據，時間數據，空間數據以及時空數據，提出了在移動計算環境中數據挖掘的一般流程；接下來分別對這四類數據進行挖掘演算法的討論：每一部分都是先介紹該類數據的挖掘方法研究現狀，對于普通數據，針對我們已提出的一種挖掘演算法-粗糙集演算法（ rs ） ，提出了對應的規則更新演算法，對於後三種數據，本人根據其在移動計算環境中的特點分別提出了與移動用戶相關的該類數據的一種具體的處理方法和演算法流程圖，包括基於移位連接方法的多屬性時間序列的挖掘演算法，基於apriori演算法的空間關聯規則數據挖掘方法以及關于移動用戶移動模式的時空數據挖掘方法，並用matlab對其中的規則更新演算法和時間序列的挖掘演算法這兩方面進行了實例模擬。
  10. The research results is briefed as follow. ( 1 ) a new communication and decision - making method is presented, which integrated several new tools as well as some old ones ; ( 2 ) a new concept of " virtual communicating place shared in real time by multi - user " is brought forward, and a new technology based on event - driving and message - transferring mechanism is designed to realize graphic data shared by multi - user and displayed synchronously under net environment, which is the basis of the whole system. ( 3 ) a new mechanism for team members to share data efficiently is devised, which supports collaborative working in progress, maintains the consistency of data, records the history of design and etc. by defining a new type of the design data attributes and the privilege of team member to access to data in different time, using a new method of data manipulating, the team data sharing is realized

    本文的主要研究成果為： （ 1 ）在研究國內外網路決策交流方式方法的基礎上，綜合多種方法的優點，提出了一種新的決策交流方式，採用了多種手段和工具，完善了網路決策交流的機制； （ 2 ）提出了多用戶共享的可視化虛擬交流空間的概念，並對其實現技術進行仔細的分析，針對目前存在的技術難點，提出了可行的解決方案，設計了一種新型的基於事件驅動和消息傳遞機制的多用戶實時共享圖形數據的解決方案，並採用了跨平臺的java技術實現了網路環境下圖形數據的實時交流和顯示； （ 3 ）針對團隊協同的網路cad系統的特點和要求，提出了一種新的團隊數據共享機制，通過對產品數據的基本屬性、歷史屬性、共享狀態屬性和關聯屬性的定義，結合對團隊成員在不同設計階段的權限控制，採用新型的對共享數據庫的數據操作方法，動態地維護團隊數據的共享、設計的變更、設計進程的同步、關連數據的一致性、以及多個團隊之間的數據交流。
  11. Firstly, this paper describes the mostly track initiation methods for engineering usage. for the sequence track initiation algorithms can ’ t be used under complex circumstance, and batch processing methods ’ computation burden is too large to carry out, a new algorithm based on “ one step delay ” model is presented, which adopts the adapted multiple hypothesis algorithm for data association, in order to be suit for the complex circumstance, multi - stage filtering is added in. simulation results show that the algorithm which is used in this paper is easy for implementation, the ratio of correct track initiation is high, and the foreground of this algorithm ’ s engineering application is better too

    本文首先從工程角度出發，研究了現存的主要航跡起始演算法，針對順序起始方法無法用於復雜環境，批處理方法計算量大不利於實現的缺點，提出了基於一步延時的航跡起始演算法，該演算法採用改進的多假設演算法處理數據關聯，同時採用多重濾波以更好的適應復雜環境，模擬結果表明，本文使用的演算法簡單易於實現、正確航跡起始概率高，有很好的工程應用前景。
  12. This dissertation mainly studies two methods of data mining and consists of five components : introduction, the summarization of data mining, the research of associate analysis, the research of trend analysis and conclusion

    本文研究了兩類數據挖掘方法。全文分五個部分：引言、數據挖掘方法概述、關聯分析方法研究、趨勢分析方法研究和結論。
  13. An optimal study design, sufficient sample size and proper controls, in conjunction of modern statistic analyses, association analyses would exert its effect on studies on susceptibility of human common diseases

    本文認為，優化研究設計、足夠的樣本含量、正確選擇對照，結合先進的數據分析方法，關聯研究必將為困擾人類的常見疾病的易感性研究發揮更大的作用。
  14. The methods of data association and tracking beginning and ending to single and multiple targets tracking in the multi - echo environment is listed. at the end of the thesis, a method is introduced, which is that based on the most closed principle, without the chosen echo, the current forecasting values added yawp based upon the former state values is considered as the target state estimated value. the value is an input of observation equation, the output of the observation equation is considered a chosen echo. and the method is validated in the simulation results

    針對多目標跟蹤問題，首先對多目標跟蹤的原理和跟蹤門的形成方法進行了概述，並對多回波環境下單目標跟蹤和多目標跟蹤的常用的數據關聯方法和跟蹤起始、跟蹤終結方法進行了介紹，在本文的後半部分，對多目標的運動狀態進行了模擬研究，提出了一種目標狀態估計方法，該種方法的思想是當前時刻如果目標跟蹤門內沒有所期望的候選回波，首先計算出目標在前一時刻的運動狀態下對當前時刻的預測值，並將該值疊加上系統噪聲作為量測方程輸入值，然後將觀測值作為候選回波對目標進行狀態估計。
  15. A multi - target data association approach for road vehicle tracking

    一種用於道路車輛跟蹤的多目標數據關聯方法
  16. Based on the detailed and comprehensive study on data mining based intrusion detection techniques, naids apply the association rule and classification techniques into detecting intrusion behavior among network audit record from a new perspective

    在對既有基於數據挖掘方法的入侵檢測技術進行全面分析的基礎上， naids從一個新的角度將關聯規則和分類技術應用到網路審計記錄數據中以檢測攻擊行為。
  17. A new approach for multi - feature data association of emitter

    一種輻射源多特徵數據關聯的新方法
  18. On the basis of studying spatial data mining method, a spatial data mining system is designed and realized, which can obtain spatial association rules and spatial classification rules from gis database. the system consists of two modules engaged in mining spatial association rules and spatial classification rules separately

    在研究空間數據挖掘方法的基礎上設計並實現了一個用於從gis數據庫中挖掘空間關聯規則和進行空間數據分類的空間數據挖掘系統，該系統可分為兩個模塊，分別進行空間關聯規則挖掘和空間數據分類。
  19. The following is the primary coverage of this paper. 1. introduce background knowledge of the data association and estimation fusion, including detailed analysis of the msjpda algorithm

    論文大致包括以下幾個方面:一、介紹數據關聯與估計融合的理論背景，並對當前流行的jpda關聯演算法進行重點分析。
  20. In this paper, we describe the study background, meaning and methods of passive acoustic detective network, summarize the basic theories and methods of target tracking and data association, analyze some tipical data association algorithms include the nearest neighbor algorithm ( nn ), probabilistic data association filtering ( pdaf ), joint probabilistic data association filtering ( jpdaf ), multiple hypothesis tracking ( mht ), and multidimensional s - d assignment algorithm. 2. in detective network, sometimes a surveillance region have only single sensor

    從整體上描述了無源聲音探測網路的研究背景、意義、基本框架和研究方法，概述了目標跟蹤與數據關聯的基本理論與方法，重點分析了幾種典型的數據關聯方法，包括最近鄰方法、概率數據關聯濾波器（ pdaf ） 、聯合概率數據關聯濾波器（ jpdaf ） 、多假設跟蹤（ mht ）以及多維s - d分配演算法。
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