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@@ -1,14 +1,16 @@
 
 # 第12章 使用FP-growth算法来高效发现频繁项集
 
-![](../images/12.FP-growth/apachecn_FP_growth_homepage.png)
+![](../images/12.FP-growth/apachecn_fp_growth_homepage.png)
 
-### 第11章 我们已经介绍了用Apriori算法发现频繁项集与关联规则，本章将继续关注发现频繁项集这一任务，并使用FP-growth算法更有效的挖掘频繁项集。
+## 前言
+在 [第11章]() 时我们已经介绍了用 `Apriori` 算法发现 `频繁项集` 与 `关联规则`。  
+本章将继续关注发现 `频繁项集` 这一任务，并使用 `FP-growth` 算法更有效的挖掘 `频繁项集`。
 
 ## FP-growth 算法简介
 
 * 一种非常好的发现频繁项集算法。
-* 基于Apriori算法构建,但是数据结构不同，使用叫做 FP树 的数据结构结构来存储集合。下面我们会介绍这种数据结构。
+* 基于Apriori算法构建,但是数据结构不同，使用叫做 `FP树` 的数据结构结构来存储集合。下面我们会介绍这种数据结构。
 
 ## FP-growth 算法步骤
 - 基于数据构建FP树