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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