挖掘系數 的英文怎麼說

中文拼音 [wājuéxìshǔ]
挖掘系數 英文
excavation factor
  • 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
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 挖掘 : excavate; unearth; dig; tap; grub; hoe; grave
  • 系數 : [數學] coefficient; ratio; modulus; quotient; factor
  1. 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。
  2. In the preprocessing stage the method of user and session identification often adopt heuristic algorithm for the being of cache and agent. this induce the uncertainty of data resource. the cppc algorithm avoid the limitation and has no use for complicated hash data structure. in this algorithm, by constructing a userld - url revelant matrix similar customer groups are discovered by measuring similarity between column vectors and relevant web pages are obtained by measuring similarity between row vectors ; frequent access paths can also be discovered by further processing of the latter. experiments show the effectiveness of the algorithm. in the fourth part, this thesis bring some key techniques of data mining into web usage mining, combine the characteristic of relation database design and implement a web usage mining system wlgms with function of visible. lt can provide the user with decision support, and has good practicability

    本文演算法避免了這個缺陷，且不需要復雜的hash數據結構，通過構造一個userid - uel關聯矩陣，對列向量進行相似性分析得到相似客戶群體，對行向量進行相似性度量獲得相關web頁面，對後者再進一步處理得到頻繁訪問路徑。實驗結果表明了演算法的有效性。第四是本文將傳統數據挖掘過程中的各種關鍵技術，引入到對web使用信息的挖掘活動中，結合關系數據庫的特點設計並實現了一個具有可廣西人學頎士學位論義視化功能的web使用挖掘系統wlgms 。
  3. The implementation and application of data mining tool based on association rules

    基於關聯規則的數據挖掘系統實現及應用
  4. Applying the basic theories of spatial data mining and geomorphology, taking the loess plateau of north shaanxi province, china as the research area, this dissertation explored the theories and systematic structures of geomorphologic data mining and acknowledge discovery from dems, ascertained the systematic structures of topographic factors and synthetic topographic acknowledge, as well as systemically summarized mining algorithms from dems. the author pa id more attention also to analyze the principle and algorithm of flow length, curvature, relief, the earth ' s surface incision and gully density. in this research, the elementary constitutes and mining algorithms of regional character acknowledge in the loess plateau were probed

    本研究在廣泛總結前人研究成果與研究經驗的基礎上，利用空間數據挖掘和地形地貌學的基本理論，以陜北黃土高原多地貌類型區為實驗樣區，以1 10000比例尺dem為樣本數據，探討了dem中地形地貌數據挖掘與知識發現的理論方法和體系結構；確定了宏觀和微觀地形因子、地形綜合特徵知識的體系結構；系統總結了dem基本地形因子的提取演算法，並重點對坡長、曲率、地形的起伏度、切割深度和溝壑密度因子提取的原理與演算法作了深入的分析；提出了黃土高原地區區域特徵知識的基本構成及其系統完整、科學可行的挖掘提取演算法；擴充了arcviewgis軟體平臺中dem空間分析的基本功能；實現了以delphi7 . 0為平臺的地形信息輔助挖掘系統的設計與開發；完成了對黃土高原多地貌類型區（樣區）地形信息空間分異特徵的分析。
  5. 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。
  6. 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。
  7. 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。
  8. The author brought up the framework on which data mining technology is applied in the waybill information synthetic application system, and discussed the application of some data mining and data warehouse technology and method, after working over and analyzing the waybill information and data mining technology

    在對現有貨票信息和數據挖掘技術研究與分析的基礎上，結合數據倉庫解決方案，提出數據挖掘技術在貨票信息綜合應用系統中應用的總體結構，論述數據挖掘和數據倉庫相關技術與方法的運用。
  9. A system of time series data mining based on hybrid model

    一種基於混合模型的時間序列數據挖掘系統
  10. This thesis is focused on the study of data - mining technique in the intelligent decision - making auxiliary system. a data - mining system based on the in - situ investigating information and the in - situ analyzing and testing data is designed and realized. in order to manage the system and select the proper algorithm, an illustration table of the algorithm and a rule - selecting database of the algorithm are proposed in the model management of this system

    本文重點研究了智能輔助決策系統中的數據挖掘技術，設計並實現了現場調查信息和分析測試信息下的數據挖掘系統，在該系統的模型管理中，提出了演算法說明表和演算法選擇規則庫，用於演算法的管理和選擇。
  11. The sub - set of the data pretreatment system contains several key algorithms and models, which not only makes it possible to establish data - mining models based on the concise and representative data, but also shortens the data - mining time, and improves the quality of data ming

    其中，數據預處理子系統包含了幾個關鍵演算法和模型，使挖掘系統能在精煉的、具有代表性的數據上建立挖掘模型，縮短了挖掘時間，提高了挖掘質量。
  12. Firstly the paper studies the development and application problems in exited data mining system, and presents a development model of data mining system based on component, and discusses the architecture, principle and characteristic of the system. then it discusses the design and realization of every component including data access component, pretreatment component, data mining algorithm component and knowledge presentation component. at last, component realization, classification, usage and integration of application system are studied, and it gives the process of integrating mining component in enterprise manage development and the application effect

    論文首先研究了現有數據挖掘系統開發和應用所面臨的問題，提出基於組件的數據挖掘系統模型，並論述了基於com組件的dmas的系統結構、工作原理和系統特點；其次，分別討論了組成系統的數據存取組件、數據預處理組件、數據挖掘演算法組件和知識表達組件各個模塊的設計原理、方法和所使用的關鍵技術，並論述了實現互動式數據挖掘的設計；再次，論述了實現數據挖掘組件的具體方法和步驟以及在企業應用系統開發過程中集成組件的設計過程；最後論文給出了在酒店管理系統中集成數據挖掘組件的應用實例和效果。
  13. In the paper, the means is researched to mine multidimensional association rules and a effective means based on multidimensional frequent items set by practice in students information system is found

    本文通過在學生信息管理系統中的具體實踐和運用，對多維關聯規則數據挖掘技術進行了探索，實現了基於多維頻繁項集進行多維關聯規則數據挖掘的一種實用高效的方法，並建立了一個高效的學生信息關聯規則挖掘系統。
  14. 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。
  15. Moreover, a strategy for imputation of null values based on changed precision model is put forward to improve anti - disturbing ability of model secondly, several primary algorithms are indrouced and discussed, the direction and target of discretization is analysised, to gain logical cuts, a method to discretize continuous attributes based on rough entropy is brought forward at last, the potential client datamining system in electronic commerce is put forward, all given algorithms is applied to the system, and compared by test results, and the new idea of this paper is simply described and some problems in this paper that need to improved on are proposed

    然後，對目前流行的離散化演算法進行了詳細的分析和評價，指出了離散化的方向和目標，並提出了基於粗糙信息熵的離散化演算法，以便在保證劃分后決策表相容性的前提下，獲得比較合理的劃分點。最後，提出了電子商務的潛在客戶挖掘系統，並將前面提出的基於粗集的演算法理論應用到該系統中，同時和其他幾種現有的數據補齊和離散化演算法進行了實驗比較和結果分析。並指出本文創新之處以及存在的問題和努力的方向。
  16. 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。
  17. Firstly, this thesis gives a general architecture about data mining system based on web services and introduces web services technique which realizes services - oriented architecture

    本文首先給出了基於web服務的數據挖掘系統的總體架構，將web服務這一優秀的面向服務的企業架構的實現技術引入了數據挖掘系統中。
  18. The first chapter in this paper provides a survey of data mining technology, and explains basic concepts, function and the whole framework of data mining and difficulties in developing and some future directions in association rule generation ; the second chapter introduce the basic concepts, brings forward a classification of association rule ; the third chapter give a deep research on algorithms of every kind of association rule, include mining single - dimensional signal - level association rule and multidimensional multilevel association rule, it describes these algorithm, point out some method to optimize this algorithm and test its quality with experiments ; the fourth and fifth chapter introduce the designs about association rule mining system basing on relation database visual foxpro in detail : according to system frame of the association rule mining, actualize a new mining algorithms and analyses every function module of program, at last further analyses the left problems in designs

    本論文第一部分對數據挖掘技術進行了總體介紹，說明了基本概念、功能和系統總體框圖以及發展中的難點和研究方面；第二章對關聯規則基本概念的進行了介紹，提出了關聯規則的分類方法；第三章探討了挖掘各種關聯規則的演算法，從挖掘單維單層布爾關規則的經典的apriori開始，分析了挖掘單維、多層關聯規則的演算法，多維關聯規則的演算法到多維多值屬性關聯規則的演算法。文中提出演算法優化方法，並對其性能進行了實驗測試；第四部分、第五部分詳細介紹了基於關系型數據庫的關聯規則挖掘系統的設計構思，根據關聯規則挖掘系統結構框架，實現了基於visualfoxpro的關聯規則挖掘系統，其于採用了一個新型的基於關系數據庫的關聯規則挖掘演算法，提高了挖掘效率，並詳細分析了程序設計的各個功能模塊，最後就設計中遺留的問題進行了進一步的分析。
  19. Bn is network structure with clarity semantics. lt exploits the structure of the domain to allow a compact representation of complex joint probability distribution. its sound probabilistic semantics, explicit encoding of relevance relationships, inference algorithms and learning algorithms that are fairly efficient and effective in pratice, and decision - making mechanism of facility, have led bn to enter the artificial intelligence ( ai ) mainstream. for the reasons that they have produced more and more practical values and economic profits in many important application fields, such as modern expert systems, diagnosis engines, decision support systems, and data mining systems, researchers from both industry and academia are thus taking them much seriously

    它具有清晰語義的網路結構；它揭示領域對象的內在結構，是復雜全概率分佈的緊湊表示方式；其堅實的理論基礎、知識結構的自然表述方式、靈活的推理能力、方便的決策機制及有效的學習能力使其成為一種主要的不確定知識的處理方法。貝葉斯網路已經在專家系統、決策支持系統、數據挖掘系統和範例推理系統等許多重要領域產生應用價值和經濟效益。
  20. Third, the importance of data mining applied to china ' s telecom enterprises is discussed. the following modes of three data mining systems, including client losing, client fraud, and time sequence, are developed to meet the need of hangzhou telecom enterprise. fourth, based on this, the point of view that data mining is applied to the telecom is put forward

    接著從中國電信運營企業的實際情況出發，分析探討了中國電信企業運用數據挖掘的重要性，根據杭州電信的實際需求，開發了針對客戶欺詐、客戶流失和時間序列這三個應用領域數據挖掘系統，最後對電信企業應用數據挖掘技術提出了自己的看法。
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