text_combined: ohwwlejspbfotbplistscmswaikatoacnz send wekalist mailing list submissions iuxxdkqklistscmswaikatoacnz subscribe unsubscribe via world wide web visit httpslistscmswaikatoacnzmailmanlistinfowekalist via email send message subject body help ohwwlejspbfotbplistscmswaikatoacnz reach person managing list pobypuhshvhzjlistscmswaikatoacnz replying please edit subject line specific contents wekalist digest todays topics 1 discretize filter mark hall 2 reducing dataset peter reutemann 3 weka models pmml mark hall 4 reducing dataset rafiqul haque 5 bugs wekaguiexperimentresultstable mark hall 6 text tokenization ann mathew 7 outputting individual classifications without supplying trainingtest set justin fincher vafzspentahoorg sun feb 24 103042 2008 message 1 date mon 18 feb 2008 101102 1300 mark hall subject wekalist discretize filter weka machine learning workbench list messageid 20080217211101gc9517cygnuslocal contenttype textplain charsetusascii fri feb 15 2008 013452am 0800 fatih akay wrote hello exact output discretize filter know counts number attributes whose values specific ranges know determined new values attributes check references help source code discretize filter details split points calculated cheers mark mark hall senior developerconsultant pentaho open source business intelligence company citadel international suite 340 5950 hazeltine national dr orlando fl 32822 usa 5 grace avenue hamilton 3210 new zealand 64 7 8473537 office 64 21 399132 mobile 1 815 5508637 fax skype markandrewhall yahoo mark_andrew_hall download latest release today dlnirllcwaikatoacnz sun feb 24 103042 2008 message 2 date mon 18 feb 2008 111359 1300 peter reutemann subject wekalist reducing dataset weka machine learning workbench list messageid 47b8b1a73050808waikatoacnz contenttype textplain charsetiso88591 formatflowed thank much solution actually dealing large dataset statistically collected analyzed responsibility analyze dataset using data mining approaches main problem new data mining able understand going reduce data suggestion side valuable cobweb incremental clusterer able cope large amounts data otherwise increase heap size java virtual machine work subsamples unsupervised resample filters available weka find package wekafiltersunsupervisedinstance since dont seem class attribute dataset otherwise wouldnt using clusterers wont able use wekas supervised attribute selection hth cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete 64 7 8384466 ext 5174 vafzspentahoorg sun feb 24 103042 2008 message 3 date mon 18 feb 2008 095112 1300 mark hall subject wekalist weka models pmml weka machine learning workbench list messageid 20080217205111ga9517cygnuslocal contenttype textplain charsetusascii weka doesnt support pmml present support pmml may implemented later year cheers mark sun feb 17 2008 111117am 0100 carmelo saffioti wrote hi possible export weka models pmml predictive model markup language format would great thing would possible share weka models data mining suites thanks carmelo _______________________________________________ wekalist mailing list iuxxdkqklistscmswaikatoacnz httpslistscmswaikatoacnzmailmanlistinfowekalist mark hall senior developerconsultant pentaho open source business intelligence company citadel international suite 340 5950 hazeltine national dr orlando fl 32822 usa 5 grace avenue hamilton 3210 new zealand 64 7 8473537 office 64 21 399132 mobile 1 815 5508637 fax skype markandrewhall yahoo mark_andrew_hall download latest release today wed 06 aug 2008 142850 0500 wekalist digest vol 60 issue 25