data mining 中文意思是什麼

data mining 解釋
【計算機】數據挖掘。

  • 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. In chapter 4, a new data mining - based adaptive models generation ( amg ) is introduced. amg is a real - time architecture for implementing data mining - based intrusion detection system

    第四章：介紹基於數據挖掘自適應模型生成（ amg ） ， amg是提供了一個基於數據挖掘的實時入侵檢測結構。
  2. ( 3 ) a new framework about data mining - based adaptive models generation ( amg ) is introduced. through the experiment of real - time snort system, it makes the academic and practicable base in order to design practicable system of intrusion detection in the future

    （ 3 ）引人基於數據挖掘的amg架構，通過snort實時系統的使用，為進一步設計實用的基於數據挖掘的入侵檢測系統打下理論和實踐基礎。
  3. Cathode and anticathode electric current distributing online detect equipment can trace aluminum electrolysis pot and document the electric current data change. by avail of this data, the relation of anticathode and cathode will be discovered. furthermore, some unknown rule may de discovered by online analysis and data mining. in this paper, author has completed a full study toward the production of aluminum electrolysis

    陰、陽極電流分佈在線檢測裝置跟蹤記錄了大量的鋁電解槽在平穩運行和發生針振時的陰、陽極電流分佈變化情況及方差變化情況的原始數據；從理論上講，在這兩者之間存在一定的對應關系，通過對陰、陽極電流分佈的實時、在線檢測，可以對電解槽的穩定性進行判斷，從而找到一種全新和更有效的管理模式。
  4. In this article i do a lot of analysis for the data formed in the mobile samples with the basis of the research of data mining, mainly including : it analyses and summarizes the theory and technology of data, especially the further discussion of the data mining algorithm for time sequential. it introduces the course of the test curve of the power transmission system of electric mobile and discusses the technology and methods of pretreatment for curve data. it studies and develops the antitype system for the analyses of test curve data of the power transmission system of electric mobile with the mining and analysis of test curve data of the power transmission system of electric mobile and the basis of the algorithm of time sequential

    本文以目前數據挖掘的研究為基礎，對汽車樣品試驗中形成的大量數據進行分析處理，主要研究內容包括:分析和綜述了數據挖掘理論基礎和相關技術，特別是對時間序列挖掘演算法進行了深入的討論介紹了電動汽車動力傳動系統檢測曲線生成的基本過程，討論了曲線數據的預處理技術與方法以時間序列挖掘演算法為基礎，對電動汽車動力傳動系統檢測曲線數據進行了挖掘與分析，研究並開發了電動汽車動力傳動系統檢測曲線數據分析原型系統。
  5. Data mining, which has been considered as a important methods in the analysis of time series, received more attention came from boffin. data mining is a process which get the useful information from the vast 、 incomplete 、 noised 、 fuzzy and random data

    數據挖掘技術是從大量的?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?但又是潛在的有用信息過程。
  6. Study of data mining application based on bp algorithm

    演算法的數據挖掘應用研究
  7. It is a orient - subject, integrating conformance gather and come into being by processing data in cleanout, change, loading. it supports integrate, uniform, accurate data for data mining. the data warehouse saves account message from customers and relation data of competitions

    數據倉庫是一個面向主題的，集成的，時變的，非易失的數據集合，它是將各種數據通過清洗、轉換、裝載過程而形成的，它為數據挖掘提供完整、統一、準確的數據。
  8. The thesis discuss the data mining principle and technology from application and the fact of guizhou telecom. by uniting the designing and developing processes, the system cleanout, change, loading the volume custom operation data into the data warehouse that used many analyst methods such as clustering analyst, forecast analyst to make the function of subdividing custom colony and running and improved the competition core ability of enterprise

    同時，針對貴州電信海量的客戶運營數據，經過清洗、轉換、整合到數據倉庫中，採用了多種分析方法，如聚類分析、預測分析，實現了客戶群細分、客戶流失預測等功能，極大的提高了貴州電信核心競爭力。
  9. Feature selection, as a preprocessing step to data mining, is effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improving result comprehensibility

    屬性選擇作為數據挖掘過程中的一個重要步驟可以有效地降低特徵維度，去除不相關屬性，提高模型準確率以及增加模型的可解釋程度。
  10. Decision trees are widely applied in data mining for its character such as simplicity and concision compared with other classification models

    在數據挖掘領域，相對于其它而言模型決策樹具有簡潔、高效等特點，故其應用最為普遍。
  11. Configuring the data mining model training destination

    配置數據挖掘模型定型目標
  12. At first, it will discuss the conditions and trend of current network optimization technology and pay much attention to the call quality test, then discuss the data mining algorithms and practical application forms, finally, integrated the algorithms and application forms, discussed how to apply data mining technology to network optimization and the steps to apply data mining in network optimization call quality test system base on the requirement of customer and pay much attention to the function of data mining technology in the system, the design detail of the data mining algorithms and the application result

    文中首先討論網路優化的現狀和發展並重點討論網路優化cqt測試的方法和流程，然後討論數據挖掘的各演算法和實際應用形式，最後將兩者結合，研究如何將數據挖掘應用到網路優化中，並根據客戶對網路優化cqt系統智能化的需求，討論具有數據挖掘功能的網路優化cqt系統的需求、設計和具體實現。在整個cqt系統的討論中，重點討論數據挖掘在cqt系統中的作用、具體演算法設計和應用結果。
  13. Crm of logistics enterprises and data mining technique

    與數據挖掘技術
  14. The data mining method based on attribute classified

    基於屬性分類的數據挖掘方法
  15. Commerce data mining based on rough set theory

    粗糙集理論在商業數據挖掘中的應用
  16. The roughness measures and data mining of s - rough sets

    粗糙集的粗糙度與數據挖掘
  17. Creating a data source view data mining tutorial

    創建數據源視圖（數據挖掘教程）
  18. Data mining is the answer to this question

    數據挖掘就是解決這一問題的新技術。
  19. The application of data mining in the census

    數據挖掘在人口普查信息系統中的應用
  20. A brief introduction to data mining in e - commerce

    淺說電子商務中的數據挖掘技術
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