search:data mining相關網頁資料

- db.cse.nsysu.edu.tw
  
  Data Mining 軟體說明
  
  3.Association Rule 概述由於我所完成的程式即是在實做Association Rule 演算法，而且對資料作關聯性的尋找似乎比其他的Data Mining方法來的有趣，因此我將會花較多的篇幅在介紹Assocation Rule這個部分之上，以下是對Association Rule這個資
  
  2025-04-28
  
  瀏覽：1358
- the-data-mine.com
  
  Data Mining - Web Home (Users) - The Data Mine Wiki
  
  Launched in April 1994 to provide information about Data Mining (AKA Knowledge Discovery In Databases or KDD). A Twiki site full of guides, info, and links
  
  2025-04-25
  
  瀏覽：585

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資料探勘真的跟你想的不一樣 | Circle

日期：2025-04-29

很多趨勢大師都說未來的技術是決定在語意網路與資料探勘，雖然這兩種技術是兩回事，但有其共同點，更重要的是要解決的問題是一樣的。...

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期中報告 ─ Data Mining ( PartⅠ) - Computation Theory Laboratory, Dept. of Electrical Engineering

日期：2025-04-27

電機四 b88901132 葉書蘋為什麼需要Data Mining？ Data Mining 之價值 Data Mining 是近幾年來相當熱門的一項課題，有相當多的研究以及相關的產業，從下面幾項數據，便可大概知道Data Mining的前瞻性和熱門的程度：...

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Analysis Services provides an integrated platform for solutions that incorporate data mining. You can use either relational or cube data to create business intelligence solutions with predictive analytics. Analysis Services provides an integrated platform...

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What is Data Mining? | SAS - Business Analytics and Business Intelligence Software | SAS

日期：2025-04-26

Learn how data mining uncovers patterns in your data and looks for the same patterns across a large universe of data. The results might surprise you. ... Data mining, as a composite discipline, represents a variety of methods or techniques used in differe...

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Data mining - Wikipedia, the free encyclopedia

日期：2025-04-25

Data mining (the analysis step of the "Knowledge Discovery in Databases" process, or KDD), an interdisciplinary subfield of computer science, is the ......

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Data Mining: What is Data Mining?

日期：2025-04-24

Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into ......

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Data Mining - Specialization | Coursera

日期：2025-04-29

At completion of this Specialization in Data Mining, you will (1) know the basic concepts in pattern discovery and clustering in data mining, information retrieval, ......

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