knowledge discovery 中文意思是什麼

knowledge discovery 解釋
知識發現
  • knowledge : n. 1. 知識；學識，學問。2. 了解，理解；消息。3. 認識。4. 〈古語〉學科。5. 〈古語〉性關系。
  • discovery : n. 1. 發見，發現，發覺。2. 〈古語〉顯示，暴露，顯露。3. （劇情的）發展。4. 被發現的事物。5. 【法律】（審判前當事一方必須作出的）顯示證據。
  1. Kdd ( knowledge discovery in databases ) can find out the effective, novel, latent, and apprehensible information

    知識發現（ kdd ）能夠從數據庫中識別出有效的、新穎的、潛在有用的、以及最終可理解的信息。
  2. Knowledge discovery in database is a rather active research domain that involves statistics, database, etc. it is an unusual process that finds out the effective, fresh, latent - effective mode which can be finally apprehensible

    數據庫知識發現（ kdd ）是涉及統計學、數據庫等學科的一門相當活躍的研究領域，是從數據集中識別出有效的、新穎的、潛在有效的以及最終可理解的模式的非平凡過程。
  3. Knowledge discovery in databases ( kdd ) is a multidisciplinary field, drawing work from areas including database technology, artificial intelligence, machine learning, statistics, neural networks, and pattern recognition

    數據庫中的知識發現（ knowledgediscoveryindatabases ， kdd ）是當前涉及人工智慧、數據庫等學科的一門非常活躍的研究領域。
  4. Ptwma is an effective successful algorithm and model to the knowledge discovery of the multiple streams time series

    Ptwma為分散式，并行控掘多流時間序列提供了一種有效的演算法和模型。
  5. On spatial data mining and knowledge discovery

    論空間數據挖掘和知識發現
  6. Data mining and knowledge discovery in databases is a new technology for drawing knowledge from data

    數據挖掘和知識發現是從數據中獲取知識的一種新技術。
  7. Mining classification rules is a procedure to construct a classifier through studying the training dataset. it is a very important part of data mining and knowledge discovery

    分類規則挖掘則是通過對訓練樣本數據集的學習構造分類規則的過程，是數據挖掘、知識發現的一個重要方面。
  8. As an effective approach to processing incomplete, imprecise or uncertain information, rough set has been playing an important role in the area of data mining and knowledge discovery

    粗糙集作為一種處理不完全、不精確及不確定信息的有效方法，在數據挖掘和知識發現領域大有用武之地。
  9. His areas of specialization cover the development and application of intelligent spatial decision support systems, spatial optimization, fuzzy sets and logic for spatial analysis, geocomputation, spatial data mining and knowledge discovery

    他的專門研究范圍包括智能空間決策支援系統、空間優化、空間分析的模糊集合及邏輯、地理計算學、空間數據發掘及知識發現。
  10. One of these challenges is to enable users to get the maximum benefit from the data they stored. data mining and knowledge discovery in databases ( kdd ) is an international frontier and has already become a hotspot hi r & d field

    數據挖掘與從數據庫中發現知識是在對更深入、更充分的開發信息資源的迫切需求背景下產生並迅速發展起來的一個國際前沿領域，它已經成為研究的一個熱點。
  11. The paper states the concept and theoretical basis of the data mining and knowledge discovery ( dmkd ) theory. it also deeply studies dmkd model that is appropriate to present chinese enterprise via the analysis of present popular dmkd models

    本文闡述了數據挖掘與知識發現（ dmkd ）的定義及所涉及到的基礎理論知識，對當前比較成功的數據挖掘模型進行了分析對比，探討了適合我國企業現狀的數據挖掘模型。
  12. Data mining and knowledge discovery in database ( kdd ) is a rapidly emerging research field, relevant to artificial intelligence, database system and statistics. it is the nontrivial process of mining the interesting, potentially useful, valid and understandable knowledge from data

    數據挖掘與數據庫知識發現（ knowledgediscoveryindatabases ， kdd ）是當前涉及人工智慧、數據庫、統計學等學科的一門相當活躍的研究領域，是從數據中提取人們感興趣的、潛在的、可用的知識，並表示成用戶可理解的形式。
  13. After the users input control tasks in three modes : natural language, electric sheet or flow char, the computer will receive the information of control demands by data mining and knowledge discovery. and then illation is leaded to select the hardware and program the software in the inner of the computer. afterward, control program is transformed in the file format of exiting simulation software by using the simulation interface and is opened in the simulation software

    用戶只需在pc機上以自然語言或繪制控制流程圖、填寫表格的方式輸入控制任務，然後在系統內部經過數據挖掘和知識發現分析得到可用控制要求信息，並自動引導推理求解過程進行硬體選型和生成相應的控製程序，最後利用模擬介面，自動將控製程序轉化為現有的控制模擬軟體的文件格式，並在控制模擬軟體中，從而用戶可以對生成的控制系統進行模擬，檢查設計的正確性。
  14. It is very urgent for people to transform them into useful information and knowledge, and apply them in business administration, production control and forecasting, etc. as a kind of technology for extracting information from large quantity of data, data mining and knowledge discovery has become a significant research problem which has important theoretical and practical values, and attracts widely attention in international academe

    世界進入信息時代，在各個領域存在大量數據，人們迫切需要將它們轉換成有用的信息和知識，以應用於商務管理、生產控制和預測等方面。數據挖掘和知識發現作為從海量數據中提取信息的一種技術，已經成為當前一個具有重要理論和應用價值的研究課題，在國際學術界引起了廣泛關注。
  15. Most knowledge discovery or data mining tools and techniques are based on statistics, machine learning, pattern recognition or artificial neural networks

    大多數的知識發現或數據挖掘工具和技術是基於傳統的統計、機器學習、模式識別或人工神經網路。
  16. University science research dss based on knowledge discovery in database

    基於知識發現的高校科研決策支持系統
  17. Rough set theory is a data mining approach capable of dealing with incomplete and inaccurate data, and it has been successfully applied to artificial intelligence and knowledge discovery, pattern recognition and classification, and fault detection

    粗糙集理論是數據挖掘的方法之一，它是處理模糊和不確定知識的一種數學工具，已在人工智慧與知識發現，模式識別與分類，故障檢測等方面得到了較好應用。
  18. Technology of knowledge discovery in database and its application

    數據庫知識發現技術及應用
  19. Analytic method of time - series based on knowledge discovery in database

    基於知識發現的時序數據分析方法
  20. Kdd knowledge discovery in database

    數據庫中的知識發現
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