隱含的知識 的英文怎麼說

中文拼音 [yǐnhándezhīzhì]
隱含的知識 英文
tacit knowledge
  • 隱 : Ⅰ動詞（隱瞞; 隱藏） hide; conceal Ⅱ形容詞1 （隱藏不露） hidden from view; concealed 2 （潛伏的; ...
  • 含 : 動詞1 （東西放在嘴裏 不咽下也不吐出） keep in the mouth 2 （藏在裏面; 包含） contain 3 （帶有某種...
  • 的 : 4次方是 The fourth power of 2 is direction
  • 知 : Ⅰ動詞1 （知道） know; realize; be aware of 2 （使知道） inform; notify; tell 3 （舊指主管） admin...
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 隱含 : implication
  • 知識 : 1 （認識和經驗的總和） knowledge; know how; science 2 （有關學術文化的） pertaining to learning o...
  1. Aiming at the relativity between repeated or similar samples and characteristic parameters during diagnosis of characteristic data, an effective data analysis approach for characteristic data compression from bi - direction is presented, which can reduce the burden of learning machine without losing the connotative characteristic knowledge of characteristic data

    摘要對診斷特徵數據中重復或相似事例樣本和特徵參量之間可能針存在的相關性，提出一種有效的特徵數據雙向壓縮預處理方法，該法在不損失數據隱含的特徵知識的前提下，能有效降低學習機器的學習負擔。
  2. Reinforcing students " patriotic sensibility and consciousness of crisis, supported by the knowledge on biological history and biologic resource of our country ; 2. holding the thoughts of dialectic materialism in the teaching material and building up students " scientific world view ; 3. imparting students knowledge of ecology, and cultivating their good environmental consciousness ; 4

    中學生物學科德育功能的內容很豐富，比如：可以通過對我國生物學家獲得的成就以及生物資源現狀的介紹，激發學生的愛國情感和危機意識；通過把握生物學知識中隱含的辯證唯物主義思想，培養學生的科學世界觀；通過生態學基礎知識的傳授，培養學生良好的環境意識；藉助生物學知識的嚴謹性，培養學生實事求是、開拓創新的科學精神等。
  3. Because of the limitation of the times, the advantage theory did not recognize the importance of tacitness of knowledge, the source of knowledge and accumulation effect of knowledge. it did not reflect the function that the enterprises possess to transfer the tacit knowledge efficiently and the impact of knowledge on fdi. the role of subsidiaries of creation of knowledge is neglected

    但是由於時代的局限性，壟斷優勢論對知識的隱含本質、知識的來源和知識的累積效應缺乏足夠的認識，使得這個理論沒有反映出企業所擁有的並擅長的進行隱性知識轉移的功能，忽視了子公司在知識創造中的作用，沒有充分考慮到對外直接投資的知識效應，並且無法對中小企業海外投資進行有效的解釋。
  4. Web data mining has been combined with electronic commerce on this occasion. it is a new branch of data mining and focuses on the research in the internet on how to find out all implicit knowledge modes among all kinds of data including web logs, user register information, web page etc, and on how to gain some predictive information

    Web數據挖掘就在這樣的背景下與電子商務結合在一起，它是在internet出現后產生的數據挖掘一個新的分支，主要研究在internet網路上，對各種數據源，如web日誌、用戶登記信息、頁面內容等，利用數據挖掘技術尋找網路上數據間各種隱含的知識模式和獲取一些預測性信息。
  5. With dramatic advance and wide application of the internet and information systems, we can easily attain large quantities of data that is also in rapid increment daily. thereby it becomes impractical to handle these data manually. we wish that computers can automatically process these data and extract potentially useful knowledge from them to help us arrange managements and make decisions

    隨著網際網路和信息系統的迅猛發展和廣泛應用，人們可以輕易地獲得海量的數據，並且這些數據還在日益不斷地增長中，對這樣的數據仍然採用傳統的人工處理方法變得不切實際，於是希望計算機能夠自動地幫助我們處理這些海量的數據，並提取出隱含的有價值的知識，輔助管理和決策，這就需要研究者對機器學習，特別是數據庫知識發現作更加深入和廣泛的研究。
  6. Can we find potential knowledge by using data mining technology and reduce the reliance on the field expert

    能否通過數據挖掘技術獲得隱含的知識，從而進一步降低cbr系統對領域專家的依賴性呢
  7. When setting up the course target for primary school management, we should put emphasis on the training of the students ' management skills and methods

    摘要在設定《小學管理概論》的課程目標時，應注重學生管理技能和方法的培養；小學管理就其所涵蓋的知識類型而言，主要是一類隱含性的知識。
  8. Data mining ( dm ) aims at drawing implied and useful information / knowledge from massive incomplete, noisy, blurry, and stochastic real data ; while neural network is a frequently used tool for dm

    數據挖掘就是從大量不完全的、有噪聲的、模糊的、隨機的實際數據中發現隱含的、事先未知的潛在有用的並且最終可理解的信息和知識的過程。
  9. With the increasingly keen industry competition caused by the globalization of economy, enterprises in information age are compelled to capture opportunities and build up their core competition ability by utilizing knowledge concealed in large amount of data

    經濟的全球化導致行業的市場競爭日益激烈，信息時代的企業必須利用大量數據中隱含的知識才能抓住時機，提升核心競爭力。
  10. Soft computing includes artificial neural network, fuzzy logic, evolutionary algorithms, rough set ( rs ) theory, etc. as a new soft computing, rough set can analyze and handle imprecise, inconsistent and incomplete data efficiently. in addition, connotative knowledge and latent rules will be discovered by using rough set theory

    粗糙集理論是一種較新的軟計算方法，它能有效地分析和處理不精確、不一致、不完整等各種不完備信息，並從中發現隱含的知識，揭示潛在的規律，是一個強大的數據分析工具，具有良好的容錯性能。
  11. It is a difficult problem relates to the structure identification of the system and concerns with the partition of the input and output space and the rule generation of the raw sample data. rough set theory, introduced by zdzislaw pawlak in the early 1980s, is another new powerful mathematical tool to deal with vagueness and uncertainty. it can analyze the imprecise, inconsistent and incomplete information effectively, find out the connotative knowledge and detect the potential rule of the system under consideration

    由z . pawlak提出的粗糙集理論是一種刻劃不完整性和不確定性的又一個強有力的數學工具，能有效地分析不精確（ imprecise ） 、不一致（ inconsistent ） 、不完整（ incomplete ）等各種不完備的信息，還可以對數據進行分析和推理，從中發現隱含的知識，揭示潛在的規律。
  12. Such designing idea is different from the way knowledge of problem solving is implied in the program in the existing program of the game of go, but it separate the knowledge of go field to consist of the entity of repository separately. by doing this it is convenient for the improvement and modification of knowledge and will make the system easy to expand and maintain

    這樣的設計思路不同於現有圍棋程序中把問題求解的知識隱含地編在程序中的方法，而是將圍棋領域內的知識單獨分開組成一個知識庫的實體，便於知識的完善和修改，使系統具有良好的擴充性和維護性。
  13. Data mining, also named as kdd ( knowledge discovery in database ), is a decision support method in which we can pick up many connotative, unkn - own, potential and useful knowledge or information mode from database or data warehouse. the knowledge that is discovered by means of data minning can reflect a certain facts and guide practice

    數據挖掘（ datamining ） ，又稱知識發現，是利用各種分析工具在存放海量數據的數據庫或數據倉庫中提取隱含的、先前未知的、潛在有用的知識或信息模式的決策支持方法。通過數據挖掘發現的知識能夠反映一定的客觀事實，並指導實踐。
  14. Rough set theory is a powerful tool in deal with vagueness and irrelevant information. it can be used to reduce features and extract rules. in this paper, rough set theory is firstly applied to extract features of the power plant condenser

    粗糙集是一種處理模糊和不確定知識的數學工具，它的最大優點是無需提供除問題相關的數據集合以外的任何先驗信息，比較適合發現數據中隱含的、潛在有用的知識。
  15. Clustering is one of the most important areas in data mining clustering finds the similarity among the data and use it to optimal the query of the large scale databases and find the hidden useful information and knowledge

    聚類分析是數據挖掘中的一個重要研究領域，它從數據庫中尋找數據間的相似性，從而優化大規模數據庫的查詢和發現數據中隱含的有用信息或知識。
  16. Then, in the knowledge transfer for an individual, the implication of knowledge, knowledge distance, physical distance, hierarchical distance and trust are presented as the main factors affecting knowledge transfer cost

    其次，提出了在個人層次的知識轉移中，知識的隱含性，知識距離，物理距離和職位距離以及信任是影響知識轉移成本的主要因素。
  17. Finally, through the literature review and theoretical deduction, it is concluded that the implication of knowledge, physical distance and hierarchical distance are positively correlated to knowledge transfer cost while knowledge distance and trust arc negatively correlated to knowledge transfer cost

    最後，通過文獻分析及理論演繹得出知識隱含性、知識轉移雙方的物理距離或職位距離與知識轉移成本成正相關關系，而轉移雙方的知識距離、接收方對轉移方的信任則與知識轉移成本成負相關關系。
  18. Data mining is a collection of engineering methods proposed for solving large practical problems of machine learning, pattern recognition, database technology etc. the purpose of data mining is to discover the implicit knowledge or rule, and to help human expert to make decision. frequent pattern mining ( fpm ) and bayesian network learning ( bnl ) are two useful technologies of data mining

    數據挖掘技術是解決機器學習、模式識別、數據庫技術等各種領域中的大型實際應用問題而提出的一些工程性方法的集合，主要是為了從大型數據庫中高效地發現隱含在其中的知識或規律，並為人類專家的決策提供支持。
  19. With the repaid development of information technology, the development of e - commerce and development of www applications, massive amounts of data have been continuously collected in the databases of many application areas, which contain much useful patterns, and it is very important to find the hidden and previously unknown information for these areas, data mining aims at the task of the above work

    當前快速發展的新的it技術、電子商務及網際網路的迅速普及，導致在各個應用領域的數據庫中存儲了大量的數據，這些數據集中包含了很多有用的知識，因此如何發現各種大型數據庫中所隱藏的、預先未知的信息以輔助相應的應用顯得尤為重要，這正是數據挖掘所要完成的任務。
  20. Our purpose is to develop an open, easily maintainable, extensible and user - friendly scientific data mining system ( sdms ) which can extract useful knowledge from scientific data and analyze the simulation result of scientific computing. the system is hosted on dbms and windows platform. currently a prototype system with functions of data denoise, compress, attribute reduction, discretion, classifying and clustering has been completed

    科學數據具有維數高、數據量大，數據不完全，有噪聲等特點，本課題在現有的數據庫和windows平臺上，開發一個具有開放體系結構的、易擴充的、易維護的、具有良好人機交互界面的數據挖掘系統，從科學數據中提取隱含在其中的有用的知識，為科學計算中的模擬信息提供符合規律的模擬結果分析。
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