mining system 中文意思是什麼
mining system
解釋
開采法-
This article canvass the status quo of the archive ' s automatization administration and the develop status of data mining, and discusses how to combine the data mining technology with the archive work from data cleaning means, data mining arithmetic, and data storage etc. and this article put forword a data mining syst em design idea. this article ' s structure is : first, in allusion to the archive data status quo, the pretreatment work of archive data that include data quality evaluation, data cleaning and data commut - ation process is bringed forword ; second, in the process of realizating data mining, the article discusses conception description, association rule, class three familiar means of applicating data mining, also put inforword the concrete arithmetic and the program design chart, and discusses the range and the foreground of all kinds of arithmetic when they are applicated in the archive ; third, the base of so you say, this article also discusses the importance of the archice applicate data storage and the means of realizing it ; last, the article discusses seval important problem of realizing an archive data mining system from data, diversity, arithmetic multiformity, mining result variety and the data pretreatment visibility, mining object descriptive visibility, mining process visibility, mining result visibil ity, user demand description and problem defining etc aspect. the article ' s core is how to import data mining technology in the archive work
本文評述了檔案自動化管理現狀和數據挖掘技術的發展狀況，從數據清洗方法、數據挖掘演算法、數據倉庫的建立等方面論述了如何將數據挖掘技術與檔案工作相結合的具體思路，並提出了一個數據挖掘系統的設計思想。文章首先，針對檔案數據的現狀，提出了應對檔案數據進行預處理工作，包括數據質量評估、數據清理、數據變換和歸約等過程；其次，在具體實現數據挖掘過程中，本文結合檔案數據的特點探討了概念描述、關聯規則、分類等三種常見挖掘形式的實現方法，提出了具體的實現演算法和程序設計框圖，並論述了各種演算法在檔案工作中的應用范圍及前景；第三，在上述基礎上，又論述數據倉庫在檔案數據挖掘中的重要性並提出了實現一個檔案數據倉庫的方法；最後，從處理數據的多樣性、演算法的多樣性、挖掘結果的多樣性、數據預處理可視化、挖掘對象描述的可視化、挖掘過程可視化、結果顯示可視化、用戶需求的描述及問題定義等幾方面討論了實現一個檔案數據挖掘系統的幾個重點問題。全文以探討如何將數據挖掘技術引入到具體的檔案工作實踐中為核心。 -
The roto - jet pump is a new kind of very low specific speed pump which is developed in recent years. it is always used in carbin black, food production, chemical industry and deep well mining system to supply the steady outflow with low flux and high pressure
旋轉噴射泵是近些年才發展起來的一種極低比轉數泵，主要用在碳黑、食品、化工以及深井采礦系統中用以提供小流量高水頭的穩定出流。 -
In the preprocessing stage the method of user and session identification often adopt heuristic algorithm for the being of cache and agent. this induce the uncertainty of data resource. the cppc algorithm avoid the limitation and has no use for complicated hash data structure. in this algorithm, by constructing a userld - url revelant matrix similar customer groups are discovered by measuring similarity between column vectors and relevant web pages are obtained by measuring similarity between row vectors ; frequent access paths can also be discovered by further processing of the latter. experiments show the effectiveness of the algorithm. in the fourth part, this thesis bring some key techniques of data mining into web usage mining, combine the characteristic of relation database design and implement a web usage mining system wlgms with function of visible. lt can provide the user with decision support, and has good practicability
本文演算法避免了這個缺陷，且不需要復雜的hash數據結構，通過構造一個userid - uel關聯矩陣，對列向量進行相似性分析得到相似客戶群體，對行向量進行相似性度量獲得相關web頁面，對後者再進一步處理得到頻繁訪問路徑。實驗結果表明了演算法的有效性。第四是本文將傳統數據挖掘過程中的各種關鍵技術，引入到對web使用信息的挖掘活動中，結合關系數據庫的特點設計並實現了一個具有可廣西人學頎士學位論義視化功能的web使用挖掘系統wlgms 。 -
Computer simulation research on deep - sea mining system
深海采礦系統計算機模擬 -
The application of virtual prototyping technology in developing deep sea bed mining system
虛擬樣機技術在深海采礦系統研發中的應用 -
Research and development of the intellectualized measurement and control experimental system for the deep - sea mining system is an important investigative task of key technique of the mechatronics in the field of industrial measurement and control
摘要深海采礦智慧能測控實驗系統的研究和開發是機電一體化各項關鍵技術在工業測控領域的一個重要研究課題。 -
Safe mining system of mining extremely thick coal seam with power disaster
巨厚煤層綜放開采動力災害防治研究 -
Study on semi - continuous mining system for loess stripping in surface mines of heidaigou
的煤礦床三維可視化方法研究 -
The definition and characteristics of sdm are set forth, and a structure of spatial data mining system including data source, miner and user interface is put forward. the essential processes of sdm are studied and nine types of rules resulting in mining are discussed. there are 17 kinds of spatial data mining approaches researched in this paper and each method ' s characteristics are analyzed
闡述了空間數據挖掘的定義與特點，提出一種包括數據源、挖掘器、用戶界面三層結構的空間數據挖掘體系結構，闡述空間數據挖掘的基本步驟和從空間數據庫中能發現的九種知識類型，系統研究了17種空間數據挖掘方法，闡述了各種方法的特點和適用范圍，闡述了空間數據挖掘與其它相關學科的區別與聯系，指出空間數據挖掘的主要研究方向，提出開發空間數據挖掘系統的幾條原則。 -
Application of false - inclined flexible shield mining system in guowa coal mine
使用偽俯斜四邊形柔性掩護支架採煤的幾點體會 -
For the special requirement of an application, the author of this article designs and implements the core model of a text mining system named textminer in java platform, and provides a rational framework and lots of available implementations for the high load chinese text classifying
由於相關應用的需求，本文作者負責設計了一個java平臺上的文本挖掘系統textminer的核心模塊，為高負荷的中文文本分類提供了合理的核心框架與大量可利用的實現方法。 -
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。 -
With the support of itf and its partners, eti has developed a number of technologies, such as rfid middleware, new data mining system called knowbiz, the business - to - consumer platform called mega payment system, and safe connect, which provides m - commerce security using the server - assisted wireless public key infrastructure technology
在香港政府itf以及其他合作伴的支援下， eti已經開發了一系列的?品與技術，比如，名?綜合支付系統mega payment system的b2c電子商務平臺和移動商務錦囊safe connect 。 -
In the process of researching the foundation topic of jiangxi natural science - " the research and realization of data mining system model ", this thesis focus on the foundation topic ' s sub - subject that how to mine association rules in database
本論文是在研究《數據挖掘的系統模型研究與實現》這一江西省自然科學基金項目的過程中，著重研究如何在數據庫中挖掘關聯規則這一子論題，並在廣泛深入學習眾多專家學者（特別是波蘭數學家z -
Firstly the paper studies the development and application problems in exited data mining system, and presents a development model of data mining system based on component, and discusses the architecture, principle and characteristic of the system. then it discusses the design and realization of every component including data access component, pretreatment component, data mining algorithm component and knowledge presentation component. at last, component realization, classification, usage and integration of application system are studied, and it gives the process of integrating mining component in enterprise manage development and the application effect
論文首先研究了現有數據挖掘系統開發和應用所面臨的問題，提出基於組件的數據挖掘系統模型，並論述了基於com組件的dmas的系統結構、工作原理和系統特點；其次，分別討論了組成系統的數據存取組件、數據預處理組件、數據挖掘演算法組件和知識表達組件各個模塊的設計原理、方法和所使用的關鍵技術，並論述了實現互動式數據挖掘的設計；再次，論述了實現數據挖掘組件的具體方法和步驟以及在企業應用系統開發過程中集成組件的設計過程；最後論文給出了在酒店管理系統中集成數據挖掘組件的應用實例和效果。 -
Clustering analysis is an important part of the whole data mining system
聚類分析在數據挖掘技術中佔有重要的位置。 -
Data mining is the process of abstracting unaware, potential and useful information and knowledge from plentiful, incomplete, noisy, fuzzy and stochastic data, which is deemed to one of a foreland of data mining system and a promising cross - subject
數據挖掘（ datamining ）就是從大量的、不完全的、有噪聲的、模糊的、隨機的數據中，提取隱含在其中的、人們事先不知道的、但又是潛在有用的信息和知識的過程。 -
Data mining is the process of abstracting unaware, potential and useful information and knowledge from plentiful, incomplete, noisy, fuzzy and stochastic data, which is deemed to one of a foreland of data mining system and a promising cross - subject. cluster analysis is one of the most important research domains of data mining
數據挖掘是從大量的、不完全的、有噪聲的、模糊的、隨機的數據中，提取隱含在其中的、人們事先不知道的、但又是潛在有用的信息和知識的過程，被信息產業界認為是數據庫系統最重要的前沿之一，是信息產業最有前途的交叉學科。 -
Firstly, this thesis gives a general architecture about data mining system based on web services and introduces web services technique which realizes services - oriented architecture
本文首先給出了基於web服務的數據挖掘系統的總體架構，將web服務這一優秀的面向服務的企業架構的實現技術引入了數據挖掘系統中。 -
String frequent static, sub string reduction and several filtering method are used to analyze one set chinese new word mining system and identify new word by using character, word and n - gram dictionary based on statistic large - scale corpus
摘要根據新詞語的不同特徵，提出了一整套自動檢測新詞語的方法，通過大規模地統計分析，分別建立字，詞， n元組的詞典，從中自動檢測出新詞語來，然後再根據構詞規則時自動檢測的結果進行進一步的過濾，最終抽取出語料中的新詞語。
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