挖掘行數 的英文怎麼說

中文拼音 [wājuéhángshǔ]
挖掘行數 英文
number of rows undercut
  • 挖 : 動詞（用工具或手從物體的表面向里掘取） dig; excavate; scoop
  • 掘 : 動詞（刨; 挖） dig
  • 行 : 行Ⅰ名詞1 （行列） line; row 2 （排行） seniority among brothers and sisters:你行幾? 我行三。where...
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 挖掘 : excavate; unearth; dig; tap; grub; hoe; grave
  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. Originally found gnawing at the roots of the world tree during an excavation, this magnificent chimaera ' s age is impossible to determine

    這頭雄偉的雙頭龍，是在一次挖掘行動中被發現寄巢於世界樹的重重深根之下，他的歲數已是無法計量。
  3. The detected data, divided into temporal dimension, spatial dimension and classificatory dimension, are mined by using star mode so as to discover the changing laws of track

    將軌道數據分為時間維、地理維、類別維3個維度，運用星型模式對軌道檢測數據進行數據挖掘，發現軌道變化規律。
  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. In the process of the construction of electric power industry informational, there are a great deal of historical data which cry for decision support system using technology of data mining ， and it would be used to resolve the pivotal 、 extrusive question. this paper bases on the need of electric power marketing decision support system, discuss a lot of kinds of arithmetic. and choose the fit arithmetic, make progress base on electric power marketing decision support system. design and realize some of the difficult data structure and arithmetic ， and encapsulate them into some api function, from a series of api function for the second exploitation

    電力行業信息化建設積累了大量歷史數據，迫切需要利用數據挖掘技術研發分析決策支持系統，以解決供電企業運營管理中關鍵和突出的問題。本論文根據決策支持系統的需要，對各種演算法進行了一定程度的探討，選擇適當的演算法，進行適當的改進，設計並實現了其中幾個比較困難的數據結構和演算法，並用vc + +把它們封裝成若干個的api函數，形成一系列可供二次開發使用的api函數，並編譯成dll文件。
  8. After deeply investigate and analysis, we found the drawback of clique lies in its inconsideration of the characteristic of the data being processed. it grid the data into a predefined grid and this adds up to the complexity of the computation. then it has to degrade the accuracy of the result to degrade the complexity of computation,

    通過深入的研究和分析，發現由於clique演算法沒有考慮到如何利用當前挖掘數據的特性，而是進行一種硬性的網格劃分，因此增加了計算復雜程度，而為了降低計算的復雜程度就只能降低聚類結果的精確性。
  9. Outlier detection is a very important technique in data mining. in this paper, a more practicable system on outlier mining technique in high - dimensional is presented, which uses reduction character of rough set to cut out some inessential attributes and then mines outliers in subspace of every correlation rules

    本文提出了對高維空間下離群點挖掘技術上的一個改進，即利用粗糙集的約簡特性對高維空間下的數據屬性進行約簡，通過約簡一些無關緊要的屬性來減少高維空間的維數。
  10. Because of broadly using of information technologies, the conflict between explosion of data and poorness of knowledge has been more and more acute, and the necessity of data mining becomes more and more urgent too

    隨著信息技術的應用普及，數據爆炸和知識貧乏之間的矛盾越來越大，使數據挖掘的深入研究和廣泛應用勢在必行。
  11. In this paper, we study focus on building intrusion detection model based the technique of data mining ( dm ). firstly, the paper designed a scheme to modeling intrusion detection based dm and bright forward the idea of descriptive model and classified model to intrusion detection. secondly, we designed and implemented a net data collection system with high performance and a scheme to pretreat net data. thirdly, after studying the algorithms to mine association rule and sequence rule in net data, we extended and improved the algorithms according to the characteristic of net data and the field knowledge of intrusion detection

    首先設計了基於數據挖掘技術的入侵檢測建模方案，提出使用該技術建立入侵檢測描述性模型和分類模型的思想，並用分類判決樹建立了入侵檢測分類模型；其次，設計和實現了一個高性能的網路數據採集系統和網路數據預處理的方案；然後，在對關聯規則挖掘和序列規則挖掘演算法進行研究的基礎上，結合網路數據的特性和入侵檢測領域的知識對演算法進行了擴展和改進，挖掘出了網路數據的關聯模式和序列模式；最後，研究了描述性模式的應用，並設計出基於模式匹配的入侵檢測引擎，該引擎具有誤用檢測和異常檢測功能。
  12. 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。
  13. Investigation on knowledge data discovery and data mining based on the real time turbogenerator ' s monitoring data

    基於汽輪機運行監測數據的知識發現和數據挖掘初探
  14. In the last, the author discussed the design and realization process of waybill information synthetic application system in client. this system is designed in detail according to the user demanding, the data mode and specialist knowledge in repository, and some of soft engineering standards. it becomes an application including such as inquiring, statistic, data mining and analyzing function by using developing tools to programme, and it ' s the final production of study on the application of data mining and data warehouse technology

    論文最後論述了貨票信息前臺綜合應用系統的設計與實現過程，該系統根據用戶需求、知識庫中的數據模式與專家知識，以及相關的軟體工程標準進行詳細設計，利用開發工具編程實現，集查詢、統計、數據挖掘與分析於一體，是數據挖掘與數據倉庫技術應用研究的最終成果。
  15. 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。
  16. In this paper, we firstly present the whole framework of the system, including the introduction of the main functional module. next, in the part of data preprocessing, we design a method of collecting click - stream data in the application server layer and preprocessing them with real time ; in the part of data mining that is data analyzing, we research and implement an extended attribute - oriented induction algorithm which applies to data generalization analysis, and that, we also design and implement an hybrid - dimensional association rule mining algorithm for associative analysis. in the end, on the e - business web site system of jiangsu changjiang electronic group corp, we design and implement an intelligent dss ( idss ) with the help of the above algorithms

    論文首先給出了系統的整體框架體系結構設計，以及主要的功能模塊介紹；接著，在數據預處理部分，設計了在應用層收集點擊流數據並且對其進行實時預處理的方法；在數據挖掘即數據分析部分，研究與實現了用於數據概化分析的面向屬性規約的擴展演算法，以及設計並實現了用於關連分析的混合維關聯規則挖掘演算法；最後，在江蘇長江電氣集團的電子商務網站系統上，利用已分析的演算法設計並實現了一個智能決策支持系統。
  17. In view of the shortage of the on - line question - answering system, this paper deals with designing the on - line question - answering system, supplies the realization of automatic question - answering system and the application of data excavation in data analyzing and processing

    摘要針對目前國內答疑係統的不足，本文對網上答疑係統的設計進行了論述，提出了系統自動答疑實現和數據挖掘在數據分析處理中的應用。
  18. This paper include four parts. in the first part we introduce some basic concepts of data warehouse and data mining ; in the second part we discuss the transaction rule model with time limit and the algorithm to mine it ; then we discuss the transaction rule model with multi - dimension limit and the algorithm to mine it in the third part ; at last we discuss how to mine association rules in a distributed computer system and the problems which should be paid attention to in order to use the model constructed in this paper

    全文一共分為四個部分：第一部分討論了數據挖掘與數據倉庫的基本概念；第二部分討論了具有時間約束的交易規則模型及其實現演算法；第三部分討論了具有多維約束條件的交易規則模型及其實現演算法；在第四部分首先介紹了如何在分散式環境下進行關聯規則挖掘，然後討論了如何實現本文提出的模型以及需注意的幾個問題。
  19. Up to now, data mining field is highly dispersive and there is no open standard

    到目前為止，數據挖掘行業是高度分散的，沒有形成開放性的標準。
  20. Applying data mining technology to large - scale web data, web mining can discover potential patterns about customers browsing behavior, which has great promise

    Web挖掘將數據挖掘技術應用於大規模web數據，能夠發現有關客戶瀏覽行為的隱藏模式，具有廣闊的應用前景。
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