Knowledge Discovery in Databases (KDD)培訓

課程代碼

kdd

課程時長

21 時間: 同常來說包括休息是 3天

最低要求

  • A general understanding of databases.

概觀

數據庫中的知識發現(KDD)是從數據集合中發現有用知識的過程。這種數據挖掘技術的實際應用包括營銷,欺詐檢測,電信和製造。

在這個以講師為主導的實踐課程中,我們介紹了KDD中涉及的過程,並開展了一系列練習來實踐這些過程。

聽眾

  • 數據分析師或任何有興趣學習如何解釋數據以解決問題的人

課程格式

  • 在對KDD進行理論討論之後,教師將提出真實案例,要求應用KDD來解決問題。參與者將準備,選擇和清理樣本數據集,並使用他們先前的數據知識,根據他們的觀察結果提出解決方案。

Machine Translated

課程簡介

Introduction

  • KDD vs data mining

Establishing the application domain

Establishing relevant prior knowledge

Understanding the goal of the investigation

Creating a target data set

Data cleaning and preprocessing

Data reduction and projection

Choosing the data mining task

Choosing the data mining algorithms

Interpreting the mined patterns

Summary and conclusion

客戶評論

★★★★★
★★★★★

促銷課程

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