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 wekalist digest vol 60 issue 19 peter reutemann 2 feature selection required fabio cerqueira 3 mountain clustering method weka josep maria campanera alsina 4 feature selection required fernando cela diaz 5 create bif type bayesian nets structure manually without training data sets hesuoju 6 use wekaclassifiersbayesnetsearchlocal hesuoju 7 use nb classifier binary attributes ning yu 8 knowledge flow interface clustering variables input clustering algorithm kept reassociated result clustering john black dlnirllcwaikatoacnz sun feb 24 103037 2008 message 1 date thu 14 feb 2008 154457 1300 peter reutemann subject wekalist wekalist digest vol 60 issue 19 weka machine learning workbench list messageid 47b3ab293040903waikatoacnz contenttype textplain charsetiso88591 formatflowed please use subject describing post new user weka working develop prediction model continuous time serious data trying work regression analysis bit problem using filter remove unwanted spike data want know filter details inbuilt weka anyone documents filter please let know want implement filter see faq write new classifier filter link faqs weka homepage interested stratifiedremovefolds wavelet etc filter see corresponding javadoc details look code way weka convert time series data frequency domain theres much timeseries support weka 2 filters package wekafiltersunsupervisedattribute timeseriestranslate timeseriesdelta hth cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete 64 7 8384466 ext 5174 tue 05 aug 2008 203356 0500 wekalist digest vol 60 issue 21