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Travelled to:
1 × China
1 × France
6 × USA
Collaborated with:
F.J.Provost S.Rosset B.Dalessandro T.Raeder O.Stitelman R.Hook S.Kaufman S.Merugu Y.Liu R.D.Lawrence B.Zadrozny D.Chen M.H.Williams P.Hseuh R.Lawrence S.Meliksetian A.Veen A.C.Lozano H.Li A.Niculescu-Mizil J.R.M.Hosking N.Abe
Talks about:
advertis (3) onlin (3) model (3) scalabl (2) predict (2) wallet (2) detect (2) custom (2) applic (2) estim (2)

Person: Claudia Perlich

DBLP DBLP: Perlich:Claudia

Facilitated 1 volumes:

KDD 2014Ed

Contributed to:

KDD 20142014
KDD 20132013
KDD 20122012
KDD 20112011
KDD 20092009
KDD 20072007
KDD 20062006
KDD 20032003

Wrote 11 papers:

KDD-2014-DalessandroCRPWP #learning #online #scalability
Scalable hands-free transfer learning for online advertising (BD, DC, TR, CP, MHW, FJP), pp. 1573–1582.
KDD-2013-RaederPDSP #clustering #reduction #scalability #using
Scalable supervised dimensionality reduction using clustering (TR, CP, BD, OS, FJP), pp. 1213–1221.
KDD-2013-StitelmanPDHRP #detection #network #online #scalability #using
Using co-visitation networks for detecting large scale online display advertising exchange fraud (OS, CP, BD, RH, TR, FJP), pp. 1240–1248.
KDD-2012-PerlichDHSRP #online #optimisation
Bid optimizing and inventory scoring in targeted online advertising (CP, BD, RH, OS, TR, FJP), pp. 804–812.
KDD-2012-RaederSDPP #design #predict #robust
Design principles of massive, robust prediction systems (TR, OS, BD, CP, FJP), pp. 1357–1365.
KDD-2011-KaufmanRP #data mining #detection #mining
Leakage in data mining: formulation, detection, and avoidance (SK, SR, CP), pp. 556–563.
KDD-2011-LiuHLMPV #modelling #predict #quality #visual notation
Latent graphical models for quantifying and predicting patent quality (YL, PyH, RL, SM, CP, AV), pp. 1145–1153.
KDD-2009-LozanoLNLPHA #modelling
Spatial-temporal causal modeling for climate change attribution (ACL, HL, ANM, YL, CP, JRMH, NA), pp. 587–596.
KDD-2007-PerlichRLZ #estimation #modelling
High-quantile modeling for customer wallet estimation and other applications (CP, SR, RDL, BZ), pp. 977–985.
KDD-2006-MeruguRP #approach #estimation #multi
A new multi-view regression approach with an application to customer wallet estimation (SM, SR, CP), pp. 656–661.
KDD-2003-PerlichP #concept #relational
Aggregation-based feature invention and relational concept classes (CP, FJP), pp. 167–176.
Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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