knowledge mining 中文意思是什麼
knowledge mining
解釋
知識的倉儲與采擷-
First - order logic provides ilp with a uniform and very expressive means of representation : the background knowledge and the examples, as well as the mined rules, can all be represented as formulas in a clausal language. so we can use naturally background knowledge in the mining process
一階邏輯為ilp提供了一致的和非常有表達力的表示手段：背景知識、例子以及挖掘到的知識都可表示為子句語言的公式，所以在挖掘過程中可非常自然地利用背景知識。 -
This article mainly contains following several contents : ( 1 ) analyzed the connotation and the tools of knowledge management as well as the combine - relation of e - government - affairs system, and proposed the system framework electronic government - affairs system based on the knowledge management ( km ) ; ( 2 ) some crucial technologies in knowledge management are studied : knowledge representation technology, knowledge discursion technology as well as data mining technology
本文主要涉及以下幾個方面的內容: （ 1 ）分析了知識管理的內涵、工具以及與電子政務系統的結合關系，提出了基於知識管理（ knowledgemanagement ，簡稱km ）的電子政務系統的體系結構; （ 2 ）對知識管理中的幾個關鍵技術進行了研究:知識表達技術、知識推理技術以及數據挖掘技術。 -
The ids of the paper is network - based anomaly detection system. with the help of data mining technology, we bring forward a measure to describe the normal state of the network traffic and user behavior and extracting the useful rule from large network data. so we can establish the knowledge warehouse which describe the normal state of the network traffic and user behavior. the knowledge warehouse can be the standard in order to judge the normal state. we can find the dubitable connections according to account the state and anomly instances of connections
論文在描述網路應用和用戶行為時採用數據挖掘技術從海量的網路數據中提取有用的規則，構建了一個描述正常狀態下的網路應用和用戶行為的規則集，這個規則集是用來判斷網路應用和用戶行為是否正常的標準，論文根據這個標準分析當前網路連接的異常情況，將可疑的連接找出來。 -
Because of broadly using of information technologies, the conflict between explosion of data and poorness of knowledge has been more and more acute, and the necessity of data mining becomes more and more urgent too
隨著信息技術的應用普及，數據爆炸和知識貧乏之間的矛盾越來越大，使數據挖掘的深入研究和廣泛應用勢在必行。 -
In this paper, we study focus on building intrusion detection model based the technique of data mining ( dm ). firstly, the paper designed a scheme to modeling intrusion detection based dm and bright forward the idea of descriptive model and classified model to intrusion detection. secondly, we designed and implemented a net data collection system with high performance and a scheme to pretreat net data. thirdly, after studying the algorithms to mine association rule and sequence rule in net data, we extended and improved the algorithms according to the characteristic of net data and the field knowledge of intrusion detection
首先設計了基於數據挖掘技術的入侵檢測建模方案，提出使用該技術建立入侵檢測描述性模型和分類模型的思想，並用分類判決樹建立了入侵檢測分類模型；其次，設計和實現了一個高性能的網路數據採集系統和網路數據預處理的方案；然後，在對關聯規則挖掘和序列規則挖掘演算法進行研究的基礎上，結合網路數據的特性和入侵檢測領域的知識對演算法進行了擴展和改進，挖掘出了網路數據的關聯模式和序列模式；最後，研究了描述性模式的應用，並設計出基於模式匹配的入侵檢測引擎，該引擎具有誤用檢測和異常檢測功能。 -
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 -
It become practical significance and a vastitude foreground to abstract useful knowledge, construct adaptive web site, improve efficiency of www with web mining intellectively and automatically based on the latest researched results, this paper discuss the content, characteristics and processes of web usage mining
因此，採用web挖掘智能地、自動地提取出有價值的知識，構建自適應網站，提高www的效率，具有十分重要的現實意義和廣闊的應用前景。基於國內外最新研究成果，論述了web使用挖掘的內容、特點和挖掘過程。 -
Presents the dependency concept of variation knowledge, advances transfer theorem of variation knowledge dependence, dependency finite extension theorem of variation knowledge and application of variation knowledge in knowledge mining
摘要給出變異知識的依賴概念，提出變異知識依賴的傳遞性定理，變異知識的依賴有限擴張定理，給出變異知識依賴在知識挖掘中的應用。 -
Based on cognition theory and information technology, the paper build a simulated brain model to aid creative design by integrated artificial intelligent, expert system, fuzzy logic, and knowledge mining based on database over internet. the brain model including a memory structure to save information and knowledge, and a thought strategy with some certain levels to guide activities, therefore, the intelligent activities such as learning, problem - solving and creative design could be treated as the process that utility memory in control of thought strategy
人腦模型體系包括了在思維策略控制下的學習、設計問題解決、創新等活動，並以語義網路與神經網路結合研究並實現了知識記憶結構，在此基礎上研究了產品構成知識的生成技術，使模型可方便實現自學習、自組織、聯想存貯等特性。 -
Study on tactic knowledge mining based on the cases
基於案例的隱性知識挖掘研究 -
Then we define the concept of knowledge integration and discuss its importance and necessity and bring up the point of view that knowledge can be integrated by constructing knowledge integrated platform, paying attention to knowledge mining, constructing flexible organization based on the knowledge network of peer to peer
然後定義了企業知識整合的概念並探討了其對企業知識管理的必要性和重要性，在此基礎上提出了知識整合可以通過建立知識整合平臺、建立知識挖掘工具、建立基於對等知識聯網的柔性組織等來實現。 -
Knowledge mining of managerial date base on fuzzy reasoning methods
基於模糊推理的管理數據庫的知識挖掘 -
Data generalization is a kind of data model in knowledge mining. fuzzy entropy and fuzzy modifying bayesian method are used to generalize the trouble diagnosis data in fms
採用基於模糊熵的最大增益和模糊修正貝葉斯的類屬演算法，計算fms的故障分類問題，說明了知識挖掘的數學過程。 -
Knowledge production is made up of knowledge representation, knowledge mining and knowledge storage
知識生產包括知識資源的表示、挖掘和存儲。 -
A hybrid case - based reasoner that integrates case - based reasoning, fuzzy neural network, utility - based decision, induction, and planning to do case retrieval, case selection, case adaptation, and adaptation knowledge mining
：混合式案例推理器，整合混合式案例推理、模糊類神經網路、效用式決策、歸納、以及規劃等技術，進行案例擷取，案例選擇，案例修改，以及修改知識之學習。 -
The development of expert system based on oil monitoring for the diesel engine is discussed in this paper. the key research point in this paper is the diagnosis knowledge mining and the establishment of knowledgebase
本文以內燃機為研究對象，以油液監測技術為試驗手段，研究如何建立基於油液監測技術的故障診斷專家系統，研究的重點是診斷知識的挖掘及診斷專家系統知識庫的建立。 -
Based on the technique system referred to in this paper, we build a design knowledge acquisition prototype system. the system includes two modules : information search module and knowledge mining module. by these two modules, we can achieve the accumulation of design materials and the acquisition of design knowledge
根據本文建立的方法體系實現了設計知識獲取原型系統，包括信息搜索和知識挖掘兩大模塊，通過這兩個模塊完成設計素材的積累以及知識的獲取，建立設計知識文本知識庫。 -
After we build a dw, first, we take needful data from data fountain to data preparing field where we purge these data, then, we load them to dw. last, we issue these data on the data mart / knowledge mining base or dw to query or knowledge mining according to customer ' s requirement
數據倉庫在創建以後，首先要從數據源中抽取所需要的數據到數據準備區，在數據準備區中經過數據的凈化處理，再加載到數據倉庫數據庫中，最後根據用戶的需求將數據發布到數據集市知識挖掘庫或數據倉庫進行決策查詢分析或知識挖掘。 -
Knowledge mining on a large scale for the subjects development in the fundamental research
基礎研究學科發展的宏觀知識挖掘 -
Data warehouse technique is used to build a knowledge mining management model, which deals with the various knowledge minning objects and manage the versatile mining algorithm etc. kc is key to the integration of distributing knowledge resources
構建知識鏈，是運行krp的又一關鍵。知識鏈的組織，依賴知識資源的集成。基於xml agent技術的集成方法用來實現知識鏈上節點知識資源的定位、集成和組織。
分享友人