data mining and knowledge discovery 中文意思是什麼

data mining and knowledge discovery 解釋
數據發掘與知識發現
  • data : n 1 資料，材料〈此詞系 datum 的復數。但 datum 罕用，一般即以 data 作為集合詞，在口語中往往用單數...
  • mining : n 1 采礦，采礦業，礦業。2 敷設地雷[水雷]。adj 開礦的，采礦的。 a mining engineer 采礦工程師。 min...
  • and : n. 1. 附加條件。2. 〈常 pl. 〉附加細節。
  • 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. Investigation on knowledge data discovery and data mining based on the real time turbogenerator ' s monitoring data

    基於汽輪機運行監測數據的知識發現和數據挖掘初探
  2. On spatial data mining and knowledge discovery

    論空間數據挖掘和知識發現
  3. 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。
  4. 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。
  5. 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。
  6. 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。
  7. 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。
  8. 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。
  9. 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。
  10. 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。
  11. 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。
  12. 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。
  13. 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。
  14. 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。
  15. Based on integration of " high yield & benefit and good grain quality of modeled cultivation of foodstuff crop ( rice ) and its consultation system ", this thesis sets it ultimate goal to deal with the knowledge discovery in the consultation system of simulation - optimization decision making in quality and high - yielding rice cultivation. after a close study of the features of the database in rice cultivation, this thesis introduces the system engineering theory of agent aralysing and designing and offers a practical new way to promote the intelligence of the knowledge discovery system in rice cultivation database, to improve the efficiency of data mining and the human - computer interactive ability to realize the integrated knowledge - based combination between human and computer or among the sub - systems

    本文以廣西「糧食作物（水稻）兩高一優模式栽培技術集成與咨詢系統研究」為背景，以基於專家系統（ es ）的水稻優質高產栽培模擬優化決策咨詢系統的知識獲取問題為導向，針對水稻栽培數據庫的特點，從系統工程角度引入面向agent的分析與設計思想，提出一種用多agent從水稻栽培數據庫中發現知識的人機合作、半自動的知識獲取方法，實現利用多agent的自主性、反應性和社會性，提高水稻栽培數據庫知識發現系統的智能水平、數據挖掘效率和人機交互能力，實現人機之間、各子系統之間基於知識的柔性綜合集成，為水稻栽培知識發現提供了一條新的可行途徑。
  16. 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。
  17. Based on the introduction to data mining, text mining andknowledge management, we divide the knowledge management into three phases, knowledge repository, knowledge sharing and knowledge discovery respectively, from the view - point of technical development. we analyse the key component of text mining, and point out that it is the main trend of intelligent information processing in the coming new century

    本文首先介紹了數據挖掘、文本挖掘和知識管理等概念，然後從技術角度出發，將知識管理劃分為知識庫、知識共享和知識發現三個階段，分析了作為最高階段的知識發現的關鍵技術和意義，最後指出在文本中進行知識發現是新世紀智能信息處理的重要方向。
  18. Therefore, it is the same with data mining with probability statistic character and knowledge discovery problems, especially with die problems that obtain sample information or need high cost

    因此，適用於具有概率統計特徵的數據採掘和知識發現問題，尤其是樣本難以獲取或代價過于昂貴的問題。
  19. Recently, the data of organization are exploded. and how to get valuable information and knowledge from the database becomes a vital area, named as data mining or knowledge discovery

    近年來，隨著各個企業、機構所擁有的數據急速膨脹，如何把這些數據轉化為有用的信息和知識成為一個非常重要的研究方向? ?數據挖掘或知識發現。
  20. Business intelligence bases on technologies such as data warehouse, olap and data mining and has data extraction, cleaning, clustering, query, analysis, mining, and prediction of the data and knowledge discovery as its methods. it can provide the practical and constantly improved solution to the investigation, planning, design, practice, and perfection of the requirement of the analytical decision for the enterprise

    商業智能是以數據倉庫、聯機數據分析、數據挖掘技術為基礎，以數據抽取、清洗、聚類、查詢、分析、挖掘、預測、知識發現為手段，對企業分析決策需求進行調研、規劃、設計、實施、完善和不斷改進的一套可操作可實施的解決方案。
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