intelligent data mining 中文意思是什麼

intelligent data mining 解釋
智能數據挖掘
  • intelligent : adj. 1. 理解力強的，有才智的，聰明的，明智的。2. （電腦等）智能型的。3. （大樓或辦公室等）由中央電腦系統控制其設施的。adv. -ly
  • 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...
  1. 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。
  2. Specialized data mining tools containing intelligent agents are used to perform these tasks

    專業的數據挖掘功能包括用來實施該任務的智能代理。
  3. This article is to study how to apply data mining technology to network optimization and how to design and develop an intelligent network optimization call quality test system with the data mining technology based on the discuss of network optimization and data mining technology application

    本文正是在討論網路優化技術和數據挖掘應用方式的基礎上，研究如何將數據挖掘技術應用到網路優化系統中，以及如何設計、開發一個基於數據挖掘技術的網路優化cqt （呼叫質量撥打測試）系統。
  4. The third part talks about the analysis and design of the business intelligence module which is a part of zhen xiang project, then explores the application of data mining to provide market basket analysis, customer classification analysis and other intelligent analyses. we research on how to provide intelligent analysis based on data mining for the enterprise in the e - commerce system

    本文對振湘項目二期工程的商業智能分析子系統進行了分析和設計，嘗試應用數據挖掘來完成購物籃分析、客戶細分等分析功能，並且對在電子商務系統中結合企業需求提供基於數據挖掘的智能分析服務進行了有意義的研究探索。
  5. This thesis expatiates on the state - of - the - art of dm technique, with emphasis on data mining algorithms such as clustering analysis, classification analysis, dependence analysis and statistical analysis. a comparative study of three popular dm tools ( ibm intelligent miner, spss clementine and sas enterprise miner ) is carried out. the future trends of dm technology are also revealed

    論文闡述了數據挖掘技術在國內外的研究現狀，對目前主要的數據挖掘演算法如聚類分析、分類分析、相關分析和統計分析進行了剖析，對當前最為流行的數據挖掘工具ibmintelligentminer 、 spssclementine及sasenterpriseminer進行比較分析，闡述了數據挖掘技術的未來發展趨勢。
  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. Data mining merges many important research fields including machine learning, artificial intelligent, statistics, knowledge - base systems and data visualization, etc. however, current algorithms proposed for date mining of association rules require several passes over the analyzed database

    挖掘重要數據仍然需要配合許多其他領域的技術才能得到完善有效的結果，其中包括機器學習，人工智慧，統計學原理，數據庫系統，數據可視化等。
  8. Intelligent question answering system based on data mining

    基於數據挖掘的智能答疑係統
  9. Secondary, the application of information technology, such as data warehouse and data mining, to extract information for intelligent decision - making from enterprise databases will also be covered

    以及探討企業如何善用資料倉儲、資料探勘等技術，充分利用企業資料資源，以提升決策之品質與效率。
  10. Research on knowledge acquisition over internet. integrated by newly achievements of intelligent search and data mining, we build the technique system of acquiring the design information and abstracting design knowledge, as well as the mechanism of self - study and self - update. 2

    對網路環境下的知識獲取進行了研究，結合智能搜索技術和數據挖掘技術的最新成果，建立了web環境下獲取設計素材和提煉設計知識的方法體系，以及與此相關的知識的自豐富、自更新機制。
  11. This thesis is focused on the study of data - mining technique in the intelligent decision - making auxiliary system. a data - mining system based on the in - situ investigating information and the in - situ analyzing and testing data is designed and realized. in order to manage the system and select the proper algorithm, an illustration table of the algorithm and a rule - selecting database of the algorithm are proposed in the model management of this system

    本文重點研究了智能輔助決策系統中的數據挖掘技術，設計並實現了現場調查信息和分析測試信息下的數據挖掘系統，在該系統的模型管理中，提出了演算法說明表和演算法選擇規則庫，用於演算法的管理和選擇。
  12. 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。
  13. A model of spatial decision support system based on spatial data mining was established after making research on application and integration of spatial data mining, " 3s " technology and environment model, which include designing of data base, knowledge base, model base and their management system, inference engine and intelligent data mining engine ; 2. a model using artificial neural networks to forecast in coast environment in fujian was established, and a method applying multivariate decision tree to remote sensing classification was presented ; 3. a novel and shortcut method realizing artificial neural networks was presented, and then we put forward method realizing decision tree and realized it in prototype

    論文的主要內容概括起來有： （ 1 ）對空間數據挖掘技術、 「 3s 」技術、環境模型在空間決策支持系統中的應用與集成進行了研究，提出了一種基於空間數據挖掘的環境調控空間決策支持系統的模型，包括模型庫及其管理系統、知識庫及其管理系統、數據庫及其管理系統、推理機以及數據挖掘智能引擎等的設計； （ 2 ）建立了人工神經網路在福建省海岸帶環境預測中應用的模型，提出了復合決策樹演算法在遙感分類的應用方法； （ 3 ）提出一種新穎的、簡便快捷的人工神經網路的實現方法，以及決策樹的實現方法，並在原型系統中作了實現。
  14. Hybrid machine learning ( hml ) is the latest applying in the field of intelligent information process. it combines the induced learning based - on decision - making tree with the blocking neural network. and it provides a useful intelligent knowledge - based data mining technique

    混合機器學習是在智能信息處理上的最新應用，它把以決策樹為基礎的歸納學習與模塊化的神經網路演算法結合起來，從而提供了一種在知識基礎上進行證實和確認的行之有效的智能化數據挖掘過程，其核心演算法是id3和ftart 。
  15. Present a system framework of intelligent dss based on click - stream data mining technology

    提出基於點擊流挖掘技術的商務智能輔助決策系統框架。
  16. In this paper, we firstly present the whole framework of the system, including the introduction of the main functional module. next, in the part of data preprocessing, we design a method of collecting click - stream data in the application server layer and preprocessing them with real time ; in the part of data mining that is data analyzing, we research and implement an extended attribute - oriented induction algorithm which applies to data generalization analysis, and that, we also design and implement an hybrid - dimensional association rule mining algorithm for associative analysis. in the end, on the e - business web site system of jiangsu changjiang electronic group corp, we design and implement an intelligent dss ( idss ) with the help of the above algorithms

    論文首先給出了系統的整體框架體系結構設計，以及主要的功能模塊介紹；接著，在數據預處理部分，設計了在應用層收集點擊流數據並且對其進行實時預處理的方法；在數據挖掘即數據分析部分，研究與實現了用於數據概化分析的面向屬性規約的擴展演算法，以及設計並實現了用於關連分析的混合維關聯規則挖掘演算法；最後，在江蘇長江電氣集團的電子商務網站系統上，利用已分析的演算法設計並實現了一個智能決策支持系統。
  17. In order to establish an intelligent screening system of tax assessment, this article studies the data mining technology and explains its application in tax assessment

    本文以構建基於數據挖掘技術的納稅評估對象智能篩選為目標，通過對數據挖掘技術的學習研究，詳細闡述了數據挖掘技術在納稅評估指標生成中的應用。
  18. An intelligent interface with the ability of running internal model is used to finish the tasks of network communication and resou rce management, therefore, the kernel of data fusion unit can hammer away at the more important tasks, such as data mining, model configuration and fusion strategies deciding, furthermore, with the importing of data marts, some crucial functions of data fusion system, such as learning, evaluation and storages is also enhanced

    其具有內部模型運行能力的智能介面用於完成網路通訊和資源調配任務，從而使融合元的核心部分可以致力於更重要的信息挖掘、建模和融合決策等任務，分散式數據集市的引入增強了數據融合系統網路內部模型的學習、存貯、評估和獲取能力。
  19. The research on how to choose appropriate algorithms in applying known and excellent algorithms to mine data in vast, complex and integrative environment datum was made, and intelligent data mining engine was

    （ 4 ）在利用已有的優秀演算法對海量的、復雜的、綜合的環境數據進行挖掘中，對系統如何智能地選擇適當的演算法進行挖掘進行了研究，並設計了數據挖掘智能引擎。
  20. New contributions of this dissertation are as follows : 1 ) an intelligent data mining model of power system security and stability is proposed firstly. a practical method is presented to analyze the power system dynamic data from both the digital simulation and the real measurements. meanwhile, the dissertation presents a novel multiple knowledge models of mined information

    為有效利用模擬與實測動態數據，填平數據和信息之間的鴻溝，將淹沒在海量數據中的有效信息提取出來供電力系統運行和研究使用，論文將數據挖掘技術應用於安全穩定分析，主要成果如下： 1 ）論文首次提出了電力系統安全穩定智能挖掘模型，定義了挖掘信息的多重知識表達模式，為有效利用電力系統模擬、實測數據提供了切實可行的方案。
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