# PAMI stands for PAttern MIning
This software is provided under GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007. For more information on license visit: https://www.gnu.org/licenses/quick-guide-gplv3.html
PAMI constitutes of several pattern mining algorithms to discover interesting patterns in transactional/temporal/spatiotemporal databases.
# Required python packages
Please install the following python packages before installing/utilizing PAMI package:
1. psutil : To calculate memory requirements of an algorithm, and
2. pandas : The patterns generated by our algorithms can be read into a pandas data frame.
As a part of future work, we intend to extend PAMI to accept pandas data frame as an input to a pattern mining algorithm.
COMMAND: pip install psutil pandas
# User manual
The manual for working with PAMI is available at https://udayrage.github.io/PAMI/manual.html
# Details
Total available algorithms: 41
1. Frequent pattern mining:
| Basic | Closed | Maximal |
|-------|--------|---------|
|Apriori|Closed|maxFP-growth|
|FP-growth| | |
|ECLAT| | |
|ECLAT-bitSet| | |
2. Frequent pattern mining using other measures:
|Basic|
|-----|
|RSFP|
3. Correlated pattern mining:
|Basic|
|-----|
|CP-growth|
|CP-growth++|
4. Frequent spatial pattern mining:
|Basic|
|-----|
|spatialECLAT|
|FSP-growth ?|
5. Correlated spatial pattern mining:
|Basic|
|-----|
|SCP-growth|
5. Fuzzy correlated pattern mining:
|Basic|
|-----|
|CFFI|
6. Fuzzy frequent spatial pattern mining:
|Basic|
|-----|
|FFSI|
7. Fuzzy periodic frequent pattern mining:
|Basic|
|-----|
|FPFP-Miner|
8. High utility frequent spatial pattern mining:
|Basic|
|-----|
|HDSHUIM|
9. High utility pattern mining:
|Basic|
|-----|
|EFIM|
|UPGrowth|
10. Partial periodic frequent pattern:
|Basic|
|-----|
|GPF-growth|
|PPF-DFS|
12. Periodic frequent pattern mining:
|Basic| Closed | Maximal |
|-----|--------|---------|
|PFP-growth|CPFP|maxPF-growth|
|PFP-growth++| | |
|PS-growth| | |
|PFP-ECLAT| | |
13. Partial periodic pattern mining:
|Basic|Maximal|
|-----|-------|
|3P-growth|max3P-growth|
|3PECLAT| |
14. Uncertain correlated pattern mining:
|Basic|
|-----|
|CFFI|
15. Uncertain frequent pattern mining:
|Basic|
|-----|
|PUF|
|TubeP|
|TubeS|
16. Uncertain periodic frequent pattern mining:
|Basic|
|-----|
|PTubeP|
|PTubeS|
|UPFP-growth|
17. Local periodic pattern mining:
|Basic|
|-----|
|LPPMbredth|
|LPPMdepth|
|LPPGrowth|
没有合适的资源?快使用搜索试试~ 我知道了~
温馨提示
共165个文件
py:157个
txt:4个
pkg-info:2个
资源分类:Python库 所属语言:Python 资源全名:pami-0.9.7.2.9.11.tar.gz 资源来源:官方 安装方法:https://lanzao.blog.csdn.net/article/details/101784059
资源推荐
资源详情
资源评论
收起资源包目录
Python库 | pami-0.9.7.2.9.11.tar.gz (165个子文件)
setup.cfg 38B
README.md 3KB
PKG-INFO 5KB
PKG-INFO 5KB
PSGrowth.py 31KB
shuim.py 31KB
PTubeS.py 28KB
efim.py 28KB
cspgrowth.py 26KB
PTubeP.py 26KB
UPFPGrowth.py 26KB
LPPGrowth.py 26KB
maxpfgrowth.py 25KB
max3pgrowth.py 25KB
cpgrowthpp.py 25KB
maxfpgrowth.py 24KB
tubeS.py 24KB
rsfp.py 24KB
tubeP.py 24KB
hdshuim.py 24KB
rpGrowth.py 23KB
PFPGrowth.py 23KB
PFPGrowthPlus.py 23KB
puf.py 23KB
fcfp.py 23KB
cpgrowth.py 22KB
GPFgrowth.py 22KB
threePGrowth.py 21KB
fpfpMiner.py 21KB
hminer.py 21KB
CFFI.py 21KB
ffsi.py 21KB
fpGrowth.py 20KB
upgrowth.py 20KB
ffi.py 19KB
charm.py 19KB
cpfp.py 18KB
threePClose.py 17KB
periodicSpatialEclat.py 16KB
topk.py 16KB
LPPMBreadth.py 15KB
PFEclat.py 15KB
topk.py 15KB
LPPMDepth.py 15KB
SpatialEclat.py 15KB
eclatbitset.py 14KB
threePEclat.py 14KB
eclat.py 14KB
topk.py 14KB
PPF_DFS.py 13KB
apriori.py 13KB
denseDF2DB.py 10KB
utilityDatabaseStats.py 9KB
temporalDatabaseStats.py 9KB
abstract.py 8KB
abstract.py 8KB
abstract.py 8KB
abstract.py 8KB
abstract.py 8KB
abstract.py 7KB
abstract.py 7KB
abstract.py 7KB
abstract.py 7KB
abstract.py 7KB
abstract.py 7KB
abstract.py 7KB
abstract.py 7KB
abstract.py 7KB
abstract.py 7KB
abstract.py 7KB
transactionalDatabaseStats.py 7KB
abstract.py 7KB
abstract.py 7KB
abstract.py 7KB
abstract.py 7KB
abstract.py 7KB
abstract.py 7KB
abstract.py 7KB
abstract.py 6KB
abstract.py 6KB
abstract.py 6KB
abstract.py 6KB
abstract.py 6KB
abstract.py 6KB
abstract.py 5KB
denseDF2DBPlus.py 5KB
abstract.py 5KB
abstract.py 5KB
abstract.py 5KB
abstract.py 5KB
abstract.py 5KB
abstract.py 5KB
abstract.py 5KB
abstract.py 5KB
abstract.py 5KB
abstract.py 5KB
abstract.py 5KB
abstract.py 4KB
sparseDF2DB.py 4KB
sparseDF2DBPlus.py 3KB
共 165 条
- 1
- 2
资源评论
挣扎的蓝藻
- 粉丝: 12w+
- 资源: 15万+
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功