BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Austria
1 × Cyprus
1 × Korea
1 × South Africa
1 × Switzerland
6 × USA
Collaborated with:
K.Verstrepen T.Calders M.Mampaey S.Moens J.Vreeken W.L.Page S.Jaroszewicz E.Hoekx J.V.d.Bussche A.Lamkanfi S.Demeyer E.Giger T.Brijs G.Swinnen K.Vanhoof G.Wets H.Blockeel É.Fromont A.Prado C.Robardet
Talks about:
mine (8) framework (2) itemset (2) databas (2) data (2) set (2) supermarket (1) recommend (1) prototyp (1) neighbor (1)

Person: Bart Goethals

DBLP DBLP: Goethals:Bart

Contributed to:

RecSys 20152015
RecSys 20142014
KDD 20112011
MSR 20102010
SAC 20102010
KDD 20082008
SAC 20072007
KDD 20062006
KDD 20052005
SAC 20042004
KDD 20002000

Wrote 11 papers:

RecSys-2015-VerstrepenG #recommendation
Top-N Recommendation for Shared Accounts (KV, BG), pp. 59–66.
RecSys-2014-VerstrepenG #collaboration #nearest neighbour
Unifying nearest neighbors collaborative filtering (KV, BG), pp. 177–184.
KDD-2011-GoethalsMV #framework #interactive #mining #named #visual notation
MIME: a framework for interactive visual pattern mining (BG, SM, JV), pp. 757–760.
MSR-2010-LamkanfiDGG #debugging #predict
Predicting the severity of a reported bug (AL, SD, EG, BG), pp. 1–10.
SAC-2010-GoethalsPM #database #mining #relational #set
Mining interesting sets and rules in relational databases (BG, WLP, MM), pp. 997–1001.
KDD-2008-BlockeelCFGPR #database #induction #mining #prototype
An inductive database prototype based on virtual mining views (HB, TC, ÉF, BG, AP, CR), pp. 1061–1064.
SAC-2007-CaldersGM #mining
Mining itemsets in the presence of missing values (TC, BG, MM), pp. 404–408.
KDD-2006-CaldersGJ #mining #set
Mining rank-correlated sets of numerical attributes (TC, BG, SJ), pp. 96–105.
KDD-2005-GoethalsHB #graph #mining #query
Mining tree queries in a graph (BG, EH, JVdB), pp. 61–69.
SAC-2004-Goethals #memory management #mining
Memory issues in frequent itemset mining (BG), pp. 530–534.
KDD-2000-BrijsGSVW #data mining #framework #mining
A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model (TB, BG, GS, KV, GW), pp. 300–304.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.