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