data rule 中文意思是什麼
data rule
解釋
數據規則-
Based on this, through a lot of yeast, e - polylysine ferment experiments and analyzing the data, comprehend the universality rule of animalcule ferment ; advanced soft - measure model, estimate the parameter non - measurable online, including the parse model based main - regression analyze, the ann model based ann arithmetic. guide the fed - batch control and environment parameter by the optimized track. to advance the last gain, identify the fermentation phase
在此基礎上，經多次酵母發酵實驗、聚賴氨酸發酵實驗及對大量實驗數據的分析，深入了解了微生物發酵的一般性規律；建立了微生物發酵過程的軟測量模型，對不可在線測量的生物參數進行估計，包括由主元回歸分析得到的解析式模型，由神經網路演算法得到的神經網路模型。 -
Optimized association rules are permitted to contain uninstantiated attributes. the optimization procedure is to determine the instantiations such that some measures of the roles are maximized. this paper tries to maximize interest to find more interesting rules. on the other hand, the approach permits the optimized association rule to contain uninstantiated numeric attributes in both the antecedence and the consequence. a naive algorithm of finding such optimized rules can be got by a straightforward extension of the algorithm for only one numeric attribute. unfortunately, that results in a poor performance. a heuristic algorithm that finds the approximate optimal rules is proposed to improve the performance. the experiments with the synthetic data sets show the advantages of interest over confidence on finding interesting rules with two attributes. the experiments with real data set show the approximate linear scalability and good accuracy of the algorithm
優化關聯規則允許在規則中包含未初始化的屬性.優化過程就是確定對這些屬性進行初始化，使得某些度量最大化.最大化興趣度因子用來發現更加有趣的規則;另一方面，允許優化規則在前提和結果中各包含一個未初始化的數值屬性.對那些處理一個數值屬性的演算法進行直接的擴展，可以得到一個發現這種優化規則的簡單演算法.然而這種方法的性能很差，因此，為了改善性能，提出一種啟發式方法，它發現的是近似最優的規則.在人造數據集上的實驗結果表明，當優化規則包含兩個數值屬性時，優化興趣度因子得到的規則比優化可信度得到的規則更有趣.在真實數據集上的實驗結果表明，該演算法具有近似線性的可擴展性和較好的精度 -
Cathode and anticathode electric current distributing online detect equipment can trace aluminum electrolysis pot and document the electric current data change. by avail of this data, the relation of anticathode and cathode will be discovered. furthermore, some unknown rule may de discovered by online analysis and data mining. in this paper, author has completed a full study toward the production of aluminum electrolysis
陰、陽極電流分佈在線檢測裝置跟蹤記錄了大量的鋁電解槽在平穩運行和發生針振時的陰、陽極電流分佈變化情況及方差變化情況的原始數據；從理論上講，在這兩者之間存在一定的對應關系，通過對陰、陽極電流分佈的實時、在線檢測，可以對電解槽的穩定性進行判斷，從而找到一種全新和更有效的管理模式。 -
As a whole the system may compart three modules : ndis drivers in the kernel mode, the dll program in the user mode and the user application program, adopting the share memory technology three modules realize the data share of the control canal rule, the encapsulation data and the network neiborhood name and so on, so we can easily finis1 " the packet authentication by the control canal rule, improve the filtering efficiency of the system. whereas the current of firewall technology, the system has wide utily value and business value. this software is based on windows 2000 operating system, the programming language is chosen as visual c + + 6. 0 and win2000 ddk
從總體上可以劃分為以下三個模塊：核心層的ndis網路驅動程序、應用層的動態鏈接庫程序以及用戶應用程序，這三個模塊之間通過內存共享技術完成對控管規則、封裝數據、網上鄰居名字列表等數據的讀寫操作，從而很方便的根據控管規則實現了對網路封包的認證操作，提高了系統的過濾效率。鑒于目前防火墻技術的發展趨勢，本系統具有廣泛的實用價值和商業價值，因此具有一定的推廣前景。軟體的開發基於windows2000操作系統，開發語言採用visualc + + 6 . 0和win2000ddk 。 -
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。 -
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。 -
Research of efferent data mining algorithm for assocoation rule
高效關聯規則數據挖掘演算法研究 -
Moreover, base on lots of test data, fatigue life estimation is finished by help of miner, opposite miner rule and fracture mechanics theory. theoretic results and test data are well fit to each other
另外，本文在大量試驗數據的基礎上，依據miner法則、相對minar法則以及斷裂力學理論，對40cr高強螺栓的疲勞壽命估算進行了系統研究，理論分析結果與試驗值的規律性吻合較好。 -
Rule - based outlier mining approach in categorical data
基於規則的分類數據離群挖掘方法研究 -
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。 -
We bring forward a xml circumstance based rule driven method to transform xml data to rdb, and in this base implements extracting data from xml document
我們提出了一種基於規則驅動的xml模式數據到關系模式的轉換方法，用於完成對xml數據的析取。 -
In order to explore the gap in the art value field between our groups and others and find out solving methods, the authors analyse video data resources of top 3 groups in 10th national games and world championship with new scoring rule of international rhythmic gymnastics
文章採用最新國際藝術體操評分規則對十運會及世界藝術體操錦標賽集體項目前3名的比賽錄像資料進行對比分析，研究我國運動水平與世界運動水平藝術價值上的差距及解決途徑。 -
The golden rule to eliminating data saboteurs
消除數據破壞者的黃金法則： -
The paper is mainly based on geography, ecology, sight ecology, region location theory and system theory. by interpreting the mss remote sensing image of 1970s and the tm remote sensing image of 1980s and the end of 1990s in keerqin sandlot based on background database and expert information, we have achieved the three periods vector data of land desertification of the research area, then we have disposed the data property by using the powerful spatial analysis function of arc / info and achieved the information extraction and analysis supported by arcview and erdas imagine. thus the rule of temporal and spatial variation of land desertification in keerqin sandlot is researched and the blueprint and countermeasures of the prevention and treatment of land desertification in keerqin sandlot are put forward
本研究主要以地理學、生態學、景觀生態學、區位論和系統論為主要理論支持，通過對科爾沁地區20世紀70年代的mss遙感影像、 20世紀80年代和90年代末tm遙感影像進行基於背景數據庫和專家知識的解譯，獲得科爾沁研究區土地沙漠化的三期矢量數據，利用arc / info軟體強大的空間分析功能對屬性進行處理，並在arcview 、 erdasimagine軟體的支持下進行信息提取與分析，研究了科爾沁沙地土地沙漠化時空變化的規律，提出了科爾沁沙地土地沙漠化防治的構想與對策。 -
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。 -
First, according to measured data and literature, the river channel evolution rule and its reasons in the southern branch of the yangtze river are discussed from the perspectives of historic evolution, recent evolution and the tendency prediction of river channel evolution. besides, the local reservoir has been studied from the changes in thalweg and section as well as the calculation of local erosion and deposit. consequently, the stability and feasibility of reservoir construction in the river section are approved
首先根據大量實測資料及文獻資料，就歷史變遷、近期演變、河演趨勢預測等方面，初步探討了長江口南支河段河道演變規律及原因，並具體就深泓線的變化、主槽斷面變化、局部沖淤計算等方面對擬建水庫局部區域進行了分析，論證了工程河段建設水庫的穩定性及可行性。 -
In succession, this paper depict data mining which according to enterprise ' s operation object, explore and analyze a lot of enterprise ' s data to hint hidden, unbeknown or known business rule
它是按企業既定業務目標，對大量的企業數據進行探索和分析，提示隱藏的、未知的或驗證已知的商業規律，且進一步將其模式化的數據處理方法。 -
This paper researches the basic statistical rule of oil - gas dynamic system from the systematic theory, combining with the common characteristic and structure characteristic of oil - gas dynamic system, taking the design requirement of oil field development programming into consideration, by using of functional simulation principle ( including nn method, differential simulation method ) and historical data of oil field, establishes the in - out conjunctional relationship of dynamic index of oil field development, and researches the two level index prediction of development dynamic with both oil field and oil production plant on the basis of the in - out conjunctional relationship. furthermore, this paper analyzes the " decision - making variable ", " object " and " restriction terms " by the optimization theory and set up several optimal models which compose the oil field development programming, it is following : optimization model of the production composing ( solving the optimal composing of each subentry production and cor responding cost, workload, including the onshore thin oil production, the heavy oil thermal process production, tertiary oil recovery production, and the offshore production ) ; optimization model of measure production structure ( determining the optimal composing of each measure production and measure workload, which is composed of fracture, acidulation, capital repair and so on ) ; optimization model of the production distraction ( optimal distribution of the whole oil field production to each oil production plant ) and the integrated development programming model of oil field
本文從系統理論出發研究油氣動態系統基本統計規律，結合油氣動態系統的一般特點，結構特點，兼顧油田開發規劃設計的要求，利用功能模擬原理（含神經網路方法、微分模擬方法） ，依據油田歷史數據，建立了油田開發動態指標間的輸入輸出關聯關系，並在此輸入輸出關聯關系的基礎上研究了油田及採油廠兩級的開發動態指標預測，同時利用最優化原理，在分析「決策變量」 、 「目標」及「約束條件」的基礎上建立了多個構成油田開發規劃的「優化模型」 ，這些優化模型包括：產量構成優化模型（解決陸上稀油產量、稠油熱采產量、三次採油產量、海上產量及對應的成本、工作量的最優構成問題） ；措施產量結構優化模型（解決壓裂、酸化、大修等各項措施產量及措施工作量的最優構成問題） ；產量分配優化模型（將油田的產量最優地分配到各採油廠）以及油田綜合開發規劃模型。 -
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。 -
( l ) it is very important for the state repair of diesel enging in our country ; ( 2 ) it will help with the more accurate decicision of repair cycle of the engine ; ( 3 ) it will improve the combustion state of the diesel enging and will keep the oil comsume at a lower level, at the same time, it lessens the dilute of the lubricanting oill in the engine. there are still some more research work to do, for it is just the begining. the mathematic model should be made and more accurate data rule should be established
（ 1 ）為推行內燃機車狀態修做準備，這在跟蹤國際機車檢修先進技術上有著十分重要的意義； （ 2 ）為更合理制定內燃機車的檢修周期提供實驗分析方法和數據，試驗數據作為每臺柴油機的技術資料被存儲，藉助計算機軟體系統可以輔助制定機車的檢修計劃，使機車的檢修工作更科學合理； （ 3 ）提高機車質量，降低檢修費用； （ 4 ）改善柴油機燃燒狀態，降低燃耗，節約運營成本，同時，可以減少燃油滴漏，降低滑油消耗。
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