data mining

基本解釋

This type of data mining is the focus of this article, specifically how to collect and parse this data.
這種類型的數(shù)據(jù)挖掘是本文的焦點(diǎn)，本文將專門介紹如何收集和解析這種數(shù)據(jù)。
In the previous two articles in this " Data mining with WEKA" series, I introduced the concept of data mining.
在這個(gè) “ 用 WEKA 進(jìn)行數(shù)據(jù)挖掘” 系列之前的兩篇文章中，我介紹了數(shù)據(jù)挖掘的概唸。
However, you might want to read this tutorial more than once when you want to translate the data mining techniques into your own business environment.
但是，如果要將數(shù)據(jù)挖掘技術(shù)應(yīng)用到您自己的業(yè)務(wù)環(huán)境中的話，那麼可能需要反複閲讀本教程。

The service draws on machine learning, data mining and predictive modeling to make its suggestions.
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Raw data is the information obtained when one conducts a survey or data mining exercise.
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the process of using special software to look at large amounts of computer data in order to find out useful information, for example what types of product a company's customers buy

Data mining involves collecting information from data stored in a database, for example, in order to find out about people's shopping habits.