knowledge discovery in database 中文意思是什麼

knowledge discovery in database 解釋
數據庫中的知識發現
  • 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。
  • in : adv 1 朝里，向內，在內。 A coat with a furry side in有皮裡子的外衣。 Come in please 請進來。 The ...
  1. 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。
  2. 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。
  3. 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
  4. Technology of knowledge discovery in database and its application

    數據庫知識發現技術及應用
  5. 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
  6. Kdd knowledge discovery in database

    數據庫中的知識發現
  7. Knowledge discovery in database

    數據庫中的知識發現
  8. An explore of student affair decision support system in higher education based on knowledge discovery in database

    基於知識發現的高校學生工作決策支持系統的探索
  9. Data mining, also known as knowledge discovery in database, distills knowledge from a mass of data

    數據挖掘就是從海量數據中提取知識，又被稱為數據庫中的知識發現。
  10. Data mining, also known as knowledge discovery in database ( kdd ), is one of the most active fields in database

    數據挖掘又稱數據庫中的知識發現，是數據庫研究最活躍的領域之一。
  11. Upon investigating into the research achievements and disadvantages of existing in knowledge discovery in database and in data mining, this thesis advanced the research and application of mining the inter - transactional quantitative association rules

    本文在充分分析數據挖掘的基本特點和相關技術的基礎上，探討了事務間量化關聯規則挖掘的理論及其在預測中的應用。
  12. Data mining, also named as kdd ( knowledge discovery in database ), is an advanced process, in which we can pick up many trustful, novel, useful and readable patterns from very large amounts of data

    數據挖掘，也可以稱為數據庫中的知識發現（ knowledgediscoveryindatabase ， kdd ） ，是從大量數據中提取出可信、新穎、有效並能被人理解的模式的高級處理過程。
  13. In response to the rapid development of computer technology and extensive requirements of applications such as scientific research, finance investment, market management and prediction, etc. knowledge discovery in database and data mining is becoming a highlighted research topic on account of its important theoretical and practical value

    為適應諸如科學研究、金融投資、市場營銷及預測等這些具有不確定性領域的需要，知識發現和數據挖掘已成為當前一個具有重要理論和實用價值的研究課題，並得到國際學術界尤其是人工智慧工作者的廣泛關注。
  14. Upon investigating into the research achievements and shortcomings of existing in knowledge discovery in database and data mining, this thesis has developed the research

    本文在深入學習並熟悉數據挖掘的基本特點和相關技術的基礎上，充分分析了國際上數據挖掘方面已取得的研究成果及其存在的不足，對知識發現和數據挖掘開展研究。
  15. As a promising and flourishing frontier of the information technology, data mining acts as the essential procedure in knowledge discovery in database ( kdd )

    數據挖掘是知識發現的核心環節，是信息科學技術發展的必然結果。
  16. 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。
  17. So how to discover the knowledge and how to discover the knowledge effectively became an important research area in computer science. the researchers in this area began to study the knowledge discovery in database, that is kdd, in the late 1980 ’ s. the first international conference of knowledge discovery and data mining at which the field of data mining was first put forward was held in montreal in canada in 1995

    在這樣的背景下， 20世紀80年代末期，人們開始研究如何在數據庫中發現知識（ knowledgediscoveryindatabase ， kdd ） ，並於1995年在加拿大的蒙特利爾召開的第一屆「知識發現和數據挖掘」國際學術會議上首次提出了數據挖掘這一學科的名稱。
  18. As a critical application of kdd ( knowledge discovery in database ), data mining is more and more widely used

    數據挖掘作為知識發現過程關鍵技術，已逐步得到廣泛應用。分類是數據挖掘及crm的重要組成部分。
  19. As traditional data analyze methods only provide a few simple services such as searching, indexing and calculating, which rather is hardly to discover the inherit or implicit information. knowledge discovery in database ( kdd ) as a new research approach to analyze and identify data in an intelligent and automatic science way is forwarded

    為了使消耗大量財力與物力所收集與整理的寶貴數據資源得以充分利用，有效地解決數據豐富性及知識貧乏性的矛盾，需要新的技術智能、自動地分析處理原始數據，從而促使了數據庫知識發現（ kdd ， knowledgediscoveryindatabase ）研究的出現。
  20. Knowledge discovery in database ( kdd ), a new generation of tools and techniques for automatic and intelligent database analysis, is an active area with the promise for a high payoff in many business and scientific application

    數據挖掘與知識發現研究如何從大量的數據中智能地、自動地提取出有價值的知識和信息，是目前相當活躍的研究領域。
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