large attribute 中文意思是什麼
large attribute
解釋
大型屬性-
( 2 ) aiming at the requirement of safe storage of the electronic documents on the information integrated platform in manufacturing enterprise, using encryption / decryption and compression / uncompression techniques and saving the electronic documents as some special attribute object of large database and managing the enterprise electronic documents effectively through database, a safe access mechanism of functional grant < wp = 7 > and recommendatory grant to decrease grant management maintenance cost is proposed and the storage mechanism of special database attribute object is studied and the method for saving, accessing and retrieving electronic document quickly is constructed. thus these methods can make the electronic documents of information integrated platform in manufacturing enterprises get safe, reliable and quick access. ( 3 ) according to this circumstance in which web pages are selected as the user interface of manufacturing application system, the safe measures of access control over web page resources are provided
（ 2 ）針對製造企業信息集成平臺中電子文檔安全存儲要求，採用加密和壓縮技術，將電子文檔作為大型數據庫中某種特殊屬性對象來存儲，以數據庫方式對企業電子文檔進行集成的、統一的管理，提出一種訪問控制的增強型安全設計原則，基於此原則建立了管理授權和推薦式授權的安全訪問機制，用以提高系統的訪問安全性，並大大減少授權管理維護量；研究了特殊屬性對象的數據庫存儲機理，從而構造一種快速存儲、訪問和檢索電子文檔的方法，使得企業信息集成平臺的電子文檔獲得安全、可靠、快速的訪問。 -
The discussion of main parallel technologies on construction of parallel sliq algorithm is presented in this paper. the computing result of algorithm complexity of sequential and parallel algorithm indicates : when the data set is large enough, as to continuous attributes, the parallel algorithm almost get speedup value equal to the number of processors ， while as to categorical attribute the improvement of parallel algorithm is limited
通過對串列和并行演算法時間復雜度的計算表明，當數據集充分大時，由於連續屬性的排序計算操作分散到各個處理機單元上進行，顯著降低了計算時間，從而可以得到近似於處理機個數的加速比，對于離散屬性，本并行演算法對串列演算法的性能提高有限 -
Other types of errors could be generated by feeding bad input to an xbis encoder such as invalid characters in an element or attribute name, but checking for these would not involve any large overhead
其他類型的錯誤可能是因為向xbis編碼程序提供不當的輸入造成的（如元素名或屬性名中的非法字元） ，但是檢查這類錯誤不需要多大的開銷。 -
One of the existing problems of the mine at present is : when the south open stope is over in 2005, where does the open north stope start for the sake of optimizing economic benefit and social benefit and environmental benefit of the mine facing to this problem, based on the large number real data of mine, in view of fuzzy attribute and complexity attribute existing in mine production, this paper applies fuzzy multi - attributes decision method to a lot of feasible technology, economy rational for schemes to appraise to proposes
當前礦山生產存在的問題之一是：南露天采場將於2005年開采結束，何處啟動北露天采場，才能使得礦山經濟效益、社會效益、環境效益保持最優化?針對銅綠山銅鐵礦北露天礦何處啟動最優這一問題，本文在收集大量銅礦山生產實際資料基礎上，針對礦山生產中存在的模糊性和復雜性，提出運用模糊多屬性決策方法對多個技術可行、經濟合理方案進行評價。 -
The reason for the moderate and large earthquake of zhengjiang block could be attribute as such features : because of the structure ' s more rigidity and the rising of the several interfaces in the crust, the energy from the deep crust of upper mantle is transported to the middle or upper crust persistently. thus it always accumulates at some locations and this may lead to eart
由於地表火山活動的停止，來自中下地殼和上地慢的大部分能量得不到釋放，從而在有利的構造部位積聚，進而在流體的作用下，或在其它外動力誘發下，導致孕震系統失穩而發生地震。 -
The author further summarized the interrelationships among the four areas into an important proposition : the spatio - temporal evolution of open, far - from - equilibrium, interacting, large, dissipative dynamical systems in nature complies to the “ dynamics of self - organized critical processes ”, and “ the systems grow fractally at the edge of chaos ". geosystems are both very important and complex open, far - from - equilibrium, interacting, large, dissipative dynamical systems in nature. they possess the innate, essential attribute of self - organized criticality
筆者進一步將四者的相互關系歸納成一個重要的命題：自然界中開放、遠離平衡、相互作用的巨大耗散動力學系統的時空演化服從「自組織臨界過程動力學」 ，並且系統「在混沌邊緣分形生長」 。 -
To the problem that finding rules in enormous data is very time - consumable and the expansibility of existed algorithms is not very good, the thesis proposes a new method to discompose large data table based on the concepts of positive region and the importance of attribute in rough set theory. existed algorithms of rule deduction can be applied directly on the tree structure obtained by partition and the times for computation will be reduced observably. validation of information entropy on the partition structure shows that the partition of data table will not lead to the loss of information, while the computing speed increases at the same time, which reflects the practicability and rationality about the partition of large data table
針對海量數據處理起來極為耗時，現有演算法拓展性較差的問題，基於rough集理論中的集合正域概念以及由此定義的屬性重要性概念，提出一種大型數據表分解演算法，現有的規則歸納演算法可直接在分解得到的樹型結構上應用，將大大降低知識發現的時間，並從信息理論的角度利用信息熵概念對該分解結構進行了驗證，分析了這種分解的實用性及合理性，揭示了這種分解結構在提高計算速度的同時不會損失信息量。 -
This paper has set up a platform of multi - parameter nonlinear study and multi - parameter estimate to reservoir by means of the technology of multi - attribute transformation and neutral network combined with multi - attribute analysis of seismic parameters, reservoir inversion and reconstruction of reservoir geophysical characteristics on the foundation of large numbers researches and data - drive law in prediction of reservoir so as to provide more accurate geology conclusion and exploration deployment scheme in practical application. besides, concrete example analysis has been made on this technology aiming at different types of oil - bearing reservoir prediction. summing up the characteristic of this technology, this paper point out its further direction in development
基於上述目標，本文主要做了以下幾方面的工作：詳細分析了石油勘探局中多種儲層預測方法的技術特點及本身在解決實際地質問題上的不足之處；在繼承前人研究和技術的基礎上，以「數據驅動法」為數學物理的理論基礎，通過多屬性變換和神經網路技術，把地震參數的多屬性分析技術、儲層反演技術和近年出現儲層物理特徵重構的技術思想有機地結合在一起，建立起一套儲層多參數非線性預測研究和儲層多參數估算技術平臺；對該項技術針對不同類型含油儲層的預測研究做出了具體的實例分析；總結了該項技術的特點，並指出進一步的發展方向。 -
Based on extensively gathering and sysmatically analyzing much geophysics, sedimentary, structure and petrological materials in research field and taking two field geological explorations from south to north in western odors basin margin, the paper studied large numbers of seismic sections and newly - finished profiles in former seismic blanked area of western margin as well as up - to - date gravity and magmatic fruits, put views on the regional geotectonic background and basin - mountain coupling and made through research on the structure features and attribute together with the result of fission track testing
筆者廣泛收集和系統分析了研究區大量的地球物理、沉積、構造和巖石學等資料，對盆地西緣自南而北進行了兩次野外地質實際調查，在此基礎上，重點研究了大量地震剖面和在西緣地震勘探空白區新完成的地震剖面及新近重磁電研究成果，結合裂變徑跡等測試分析資料，從區域地球動力學背景和盆山耦合的思路入手，對鄂爾多斯盆地西緣的構造特徵及其屬性進行了詳細解剖。 -
Results showed that, attribute data obtained by this way avoided deficiency of polygon overlap way, as a result, the logistical consistency between map data and attribute data reached over 90 % on average. database pivot precision was 0. 18mm, data quantity during manipulation was decreased greatly, data treatment was more convenient, computation velocity was boosted greatly. workload of map and table pretreatment and edition was mitigated on large scale, spatial data precision was increase
研究表明：用該方法獲得的屬性數據，避免了多邊形疊加方法的不足之處，能使圖形數據和屬性數據邏輯一致性平均達到90以上，數據庫點位精度達到0 . 18mm ，且操作中圖層數據量大大減小，數據處理更為方便，運算速度大為提高；減輕了圖表預處理和編輯的工作量，使空間數據精度提高。 -
Followed by the rapid extension of data size, the usage of parallel technology is a very important method to improve the efficiency of data ming. sliq uses novel pre - sorting and breadth - first techniques to build a decision tree fast and accurately on a large data set, and can deal both categorical and numeric attributes. but the primary algorithm contains the abundant computing on attribute and record
本文首先分析了串列sliq演算法的原理和特點，針對其不足提出了一些改進方法，然後在基於pvm的環境下實現了演算法的并行化，分析了演算法的時間復雜度和加速比，提高了sliq演算法的效率，具有一定的理論意義和實用價值。 -
How large a proportion of the sales of stores in or near resort areas can be attribute to tourist spending
在風景區或者風景區附近的銷售比例有多少是由旅遊花費來決定的呢？ -
An dynamic algorithm of attribute reduction is presented. in fact, data are always changing in database, so a dynamic algorithm of attribute reduction based on rough logic is presented, which can get new minimum decision algorithm based on the original one when new object is added. it can avoid reduction from large original decision table, update and vindicate the original algorithm, and improve the efficiency of attribute reduction
2 .提出了一種增量式屬性約簡演算法針對實際問題中數據庫中的數據是不斷變化的這一情況，以粗糙邏輯為基礎，針對新加入的對象相對于原來的極小決策演算法而言是全新的這種情況，提出了一種增量式屬性約簡演算法，從而避免每次從龐大的原始決策表開始約簡，實現了對原極小決策演算法的更新與維護，提高了屬性約簡的效率。 -
This paper is chiefly to set up a platform of multi - parameter nonlinear study and multi - parameter estimate to reservoir by means of the technology of multi - attribute transformation and neutral network combined with multi - attribute analysis of seismic parameters, reservoir inversion and reconstruction of reservoir geophysical characteristics on the foundation of large numbers researches and data - drive law in prediction of reservoir so as to provide more accurate geology conclusion and exploration deployment scheme in practical application. basing on the mentioned objective above, this paper has analyzed characteristics of many methods of reservoir prediction in the petroleum prospecting and their shortcomings in the practical geology problem of resolution
本文主要目標就是在大量研究技術的基礎上，以儲層預測研究中的「數據驅動法」為數學物理上的理論基礎，通過多屬性變換和神經網路技術把地震參數的多屬性分析技術、儲層反演技術和儲層地球物理特徵重構的技術思想有機地結合在一起，建立起一套儲層多參數非線性的預測研究和儲層多參數估算技術平臺，最終在實際應用中提供更加準確的地質和勘探部署。 -
This paper first illustrated some typical algorithms for large dataset, then gave off a processing diagram in common use second, for the dataset with large quantity and many attributes, we renovated the calculation method of the attribute ' s statistic information, giving off a ameliorated algorithm this thesis consists of five sections chapter one depicts the background knowledge and illustrates the position of data mining among many concepts also here is the data mining ' s category chapter two describes the thought of classification data mining technique, puts forward the construction and pruning algorithms of decision tree classifier chapter three discusses the problems of adapting data mining technique with large scale dataset, and demonstrates some feasible process stepso also here we touches upon the combination r - dbms data warehouse chapter four is the design of the program and some result chapter five gives the annotation the conclusion, and the arrangement of future research
本論文的組織結構為：第一章為引言，作背景知識介紹，摘要闡述了數據挖掘在企業知識管理、泱策支持中的定位，以及數據挖掘的結構、分類；第二章講述了分類數據挖掘的思路，重點講解了泱策樹分類器的構建、修剪，第三章針對大規模數據對數據挖掘技術的影響做了講解，提出了可採取的相應的處理手段，以及與關系數據庫、數據倉庫結合的問題；第四章給出了論文程序的框架、流程設計，以及幾個關鍵問題的設計；第五章對提出的設計進行簡要的評述，做論文總結，並對進一步的研究進行了規劃。 -
It is the most important how the government utilize information technology device to enhance all managerial level leader of government making decision efficiently and scientifically. it is necessary that decision supporting system of jilin province administration office as a large system to conduct the exploiting of various universal and specific information pools, to ensure the quality of its electric information resource pool ; take full advantages of its functions and build and improve a relative standard and universal information select process. it is a repeatedly comparative, comprehensive and selective processing for screening of enormous economic and social information attribute
本文以管理信息系統和決策支持系統理論以及信息分析理論為基礎，應用層次分析法，以設計信息資源庫的指標體系為重點，以建立《工業監測庫》指標體系為實例，為建立吉林省政府辦公廳決策支持系統的電子信息資源庫，努力探索對電子信息資源進行科學、適用篩選的有效手段，以提高信息的開發利用效率和為領導決策提供信息服務的水平。 -
The main content of this paper consists of four parts. the first part briefly analyzes the connotation and main attribute of the knowledge age. the second part analyzes the main defects in the current achievement evaluation system in our ordinary companies and large shipping companies, which hamper the development of our companies. the third part comes up with the main contents of a new achievement evaluation system. in the last part, this paper fully discusses how to carry out the new system and achieve the goal of achievement evaluation
本文的主要內容共分為四大部分：第一部分簡要分析了知識經濟時代的基本內涵和主要特徵；第二部分分析了現行一般性企業及我國大型航運企業業績評價體系存在的主要缺陷，這些缺陷阻礙了我國企業的發展；第三部分探索性地提出了包括一般性企業和我國大型航運企業在內，適應並促進知識經濟時代企業發展的新的業績評價體系的主要內容；第四部分較為全面地探討了如何實施新的企業業績評價體系，實現新的企業業績評價目標。 -
This paper introduces the development of data mining and the concepts and techniques about clustering will be discussed, and also mainly discusses the algorithm of cluster based on grid - density, then the algorithm will be applied to the system of insurance ? among the various algorithms of cluster put forward, they are usually based on the concepts of distance cluster o whether it is in the sense of traditional eculid distance such as " k - means " or others o these algorithms are usually inefficient when dealing with large data sets and data sets of high dimension and different kinds of attribute o further more, the number of clusters they can find usually depends on users " input 0 but this task is often a very tough one for the user0 at the same time, different inputs will have great effect on the veracity of the cluster ' s result 0 in this paper the algorithm of cluster based on grid - density will be discussed o it gives up the concepts of distance <, it can automatically find out all clusters in that subspaceo at the same time, it performs well when dealing with high dimensional data and has good scalability when the size of the data sets increases o
在以往提出的聚類演算法中，一般都是基於「距離（ distance ） 」聚類的概念。無論是傳統的歐氏幾何距離（ k - means ）演算法，還是其它意義上的距離演算法，這類演算法的缺點在於處理大數據集、高維數據集和不同類型屬性時往往不能奏效，而且，發現的聚類個數常常依賴于用戶指定的參數，但是，這往往對用戶來說是很難的，同時，不同參數往往會影響聚類結果的準確性。在本文里要討論的基於網格密度的聚類演算法，它拋棄了距離的概念，它的優點在於能夠自動發現存在聚類的最高維子空間；同時具有很好的處理高維數據和大數據集的數據表格的能力。
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