Weka数据挖掘平台

Explorer: menu selection and form filling

缺点:when you open a dataset, it immediately loads it all in. This means that the Explorer can only be applied to small- to medium-size problems.

Knowledge  Flow : allows you to design configurations for streamed data processing

用来处理增量数据算法

Experimenter： designed  to  help  you  answer  a  basic practical  question  when  applying  classification  and  regression  techniques

allows you to automate the process by  making  it  easy  to  run  classifiers  and  filters  with  different  parameter  settings on  a  corpus  of  datasets，to  collect  performance  statistics,  and  to  perform  sig-nificance  tests

Simple  CLI  ： the  old-fashioned command-line interface.

Weka数据格式

 add the dataset’s name using the @relation tag,

the attribute information  using  @attribute,

 and  an  @data  line

 

@relation weather

@attribute outlook {sunny, overcast, rainy}
@attribute temperature numeric
@attribute humidity numeric
@attribute windy {TRUE, FALSE}
@attribute play {yes, no}

@data
sunny,85,85,FALSE,no
sunny,80,90,TRUE,no
overcast,83,86,FALSE,yes
rainy,70,96,FALSE,yes
rainy,68,80,FALSE,yes
rainy,65,70,TRUE,no
overcast,64,65,TRUE,yes
sunny,72,95,FALSE,no
sunny,69,70,FALSE,yes
rainy,75,80,FALSE,yes
sunny,75,70,TRUE,yes
overcast,72,90,TRUE,yes
overcast,81,75,FALSE,yes
rainy,71,91,TRUE,no