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- Data mining is to extract knowledge from information. 資料開採是從各種資訊中獲得知識。
- Clustering is a major method of data mining. 摘要聚類是數據挖掘中的主要方法。
- Understanding data mining may be important to you. 理解數據挖掘可能對你很重要。
- In its most basic form, data mining is very simple. 以其最基本的方式,數據採集就簡單了。
- Data mining tools yield five types of information. 數據開採工具得到五類信息。
- An available answer is Data Mining. 可行的方法之一就是利用數據挖掘技術。
- Outlier mining is an important part of data mining. 摘要離群數據挖掘是數據挖掘的重要內容。
- CUG, Research Areas: Database and Data Mining. 研究生畢業,研究方向:資料庫與數據挖掘技術。
- In the near future study of the distributed data mining. 文摘鏈接:分散式數據開採研究。
- A treelike model of data produced by certain data mining methods. 由某些數據挖掘方法生成的數據的樹狀模型。
- Click the Mining Model Prediction tab in Data Mining Designer. 在數據挖掘設計器中,單擊「挖掘模型預測」選項卡。
- A language for creating and working with data mining models. 一種用於創建和處理數據挖掘模型的語言。
- Use to adjust the default colors used in the data mining viewers. 用於調整數據挖掘查看器中使用的默認顏色。
- Data Mining Techniques for Effective Flow-based Analysis. 該文使用數據挖掘技術進行有效的網路流量分析。
- Studied algorithm of Association rule in Data Mining. 研究了數據採掘技術中的關聯規則演算法。
- Web Data Mining is a new important research field in data mining. Web數據挖掘是數據挖掘中的一個新的重要研究領域。
- Association rule mining is an important task of data mining. 關聯規則是數據開採的重要研究內容 .
- Data Mining is acquire and mine knowledge from mass data. 數據挖掘就是從大量的數據中提取或挖掘知識。
- Data mining is a popular technology supporting for DSS. 數據挖掘是一種新興的用於信息決策支持的技術。
- Data mining technique is briefly introduced in the paper. 摘要文章簡要介紹數據挖掘技術。
