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- aggregation classification "P1".
- aggregation creator person.
- aggregation creator person.
- aggregation date "2010".
- aggregation format "application/pdf".
- aggregation hasFormat 1230867.bibtex.
- aggregation hasFormat 1230867.csv.
- aggregation hasFormat 1230867.dc.
- aggregation hasFormat 1230867.didl.
- aggregation hasFormat 1230867.doc.
- aggregation hasFormat 1230867.json.
- aggregation hasFormat 1230867.mets.
- aggregation hasFormat 1230867.mods.
- aggregation hasFormat 1230867.rdf.
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- aggregation hasFormat 1230867.txt.
- aggregation hasFormat 1230867.xls.
- aggregation hasFormat 1230867.yaml.
- aggregation isPartOf urn:isbn:9783642130243.
- aggregation isPartOf urn:issn:0302-9743.
- aggregation language "eng".
- aggregation publisher "Springer".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Science General".
- aggregation title "Ensembles of probability estimation trees for customer churn prediction".
- aggregation abstract "Customer churn prediction is one of the most, important elements tents of a company's Customer Relationship Management, (CRM) strategy In tins study, two strategies are investigated to increase the lift. performance of ensemble classification models, i.e (1) using probability estimation trees (PETs) instead of standard decision trees as base classifiers; and (n) implementing alternative fusion rules based on lift weights lot the combination of ensemble member's outputs Experiments ale conducted lot font popular ensemble strategics on five real-life chin n data sets In general, the results demonstrate how lift performance can be substantially improved by using alternative base classifiers and fusion tides However: the effect vanes lot the (Idol cut ensemble strategies lit particular, the results indicate an increase of lift performance of (1) Bagging by implementing C4 4 base classifiets. (n) the Random Subspace Method (RSM) by using lift-weighted fusion rules, and (in) AdaBoost, by implementing both.".
- aggregation authorList BK126357.
- aggregation endPage "66".
- aggregation startPage "57".
- aggregation volume "6097".
- aggregation aggregates 1887031.
- aggregation isDescribedBy 1230867.
- aggregation similarTo 978-3-642-13025-0_7.
- aggregation similarTo LU-1230867.