Apriori-master
所属分类：数据挖掘/数据仓库
开发工具：Python
文件大小：4819KB
下载次数：64
上传日期：2017-03-20 11:04:20
上 传 者：
54代数
说明： 用Apriori算法挖掘出入侵检测数据集KDD99的数据关联性，从而检测出未知的攻击
(Apriori algorithm is used to extract the data association of the intrusion detection data set KDD99, and the unknown attack is detected)
文件列表:
.idea (0, 2017-01-05)
.idea\Apriori-master.iml (398, 2016-11-25)
.idea\inspectionProfiles (0, 2016-11-25)
.idea\inspectionProfiles\profiles_settings.xml (228, 2016-11-25)
.idea\misc.xml (212, 2016-11-25)
.idea\modules.xml (280, 2016-11-25)
.idea\workspace.xml (28826, 2017-01-05)
apriori.py (5791, 2017-01-06)
csv_test1.csv (334321, 2017-01-08)
csv_test2.csv (29927, 2017-01-08)
DataSet.py (767, 2017-01-08)
kddcup.data_10_percent_corrected - ԭʼ.csv (74889749, 2016-11-08)
kddcup.data_10_percent_corrected.csv (47018738, 2017-01-06)
kddcup.testdata.unlabeled_10_percent.csv (32339995, 2016-12-23)
mit-license (1080, 2013-11-19)
Python Implementation of Apriori Algorithm
==========================================
List of files
-------------
1. apriori.py
2. INTEGRATED-DATASET.csv
3. README(this file)
The dataset is a copy of the “Online directory of certified businesses with a detailed profile” file from the Small Business Services (SBS)
dataset in the `NYC Open Data Sets `_
Usage
-----
To run the program with dataset provided and default values for _minSupport_(0.15) and *minConfidence*(0.6)
python apriori.py -f INTEGRATED-DATASET.csv
To run program with dataset
python apriori.py -f INTEGRATED-DATASET.csv -s 0.17 -c 0.68
Best results are obtained for the following values of support and confidence:
Support : Between 0.1 and 0.2
Confidence : Between 0.5 and 0.7
License
-------
MIT-License
Disclaimer
----------
I do not actively work on this. Suggestions to improve are however welcome.
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