updated readme.md

Author: Zhuge Chen

README.md

@@ -1,21 +1,10 @@
-# C-based Implementation of LogCluster Algorithm
+# 基于文字密度的文本数据挖掘工具
 
-**How to manually compile the source files:**
-In terminal, change directory to this folder and execute "gcc -O2 -o logclusterc *.c" command. The executable file named "logclusterc" then will be generated.
+运行环境:Linux
+如何编译：下载源文件后，命令行输入 gcc -O2 -o logclusterc *.c
 
-LogCluster is a density-based data clustering algorithm for event logs, introduced by Risto Vaarandi and Mauno Pihelgas in 2015.
- 
-A detialed discussion of the LogCluster algorithm can be found in the paper (http://ristov.github.io/publications/cnsm15-logcluster-web.pdf) published at CNSM 2015.
+此工具基于Risto Vaarandi和Mauno Pihelgas发明的LogCluster算法，这是一个基于文本密度的数据挖掘算法，主要应用于大规模日志的模式分析。
 
-The C-based implementation of LogCluster algorithm is called LogClusterC.
+LogCluster算法的Perl版本: https://github.com/ristov/logcluster/
 
-LogClusterC borrows lots of source code from another open source data mining tool SLCT: http://ristov.github.io/slct/ .
-
-The information of LogCluster algorithm and its prototype implementation in Perl: http://ristov.github.io/logcluster/ .
-
-The history versions of LogCluster in Perl: https://github.com/ristov/logcluster/releases .
-
-All the functions in LogCluster Perl version 0.03 are supported in LogClusterC. The basic functions and heuristics functions (options: --input, --rsupport, 
---support, --aggrsup, --wweight) are tested via various experiments in thesis.
-
-The corresponding thesis，the bash script to run the experiment and the raw plain text outputs in the experiment are stored in another GitHub repository: https://github.com/zhugehq/thesis-project-logclusterc-experiment-data .
+LogCluster算法的前身SLCT算法：http://ristov.github.io/slct/