Travelled to:1 × Australia
1 × China
1 × Portugal
1 × USA
Collaborated with:A.Bifet B.Pfahringer ∅ J.Read R.Gavaldà G.D.F.Morales B.M.Thomas J.M.Stewart D.Bainbridge D.M.Nichols W.J.Rogers H.Kremer P.Kranen T.Jansen T.Seidl
Talks about:data (5) stream (4) effici (2) evolv (2) evalu (2) mine (2) probabilist (1) frequent (1) classifi (1) zealand (1)
Person: Geoff Holmes
DBLP: Holmes:Geoff
Contributed to:
2015
2015
201320122011Wrote 6 papers:
- KDD-2015-BifetMRHP #big data #classification #data type #evaluation #online #performance
- Efficient Online Evaluation of Big Data Stream Classifiers (AB, GDFM, JR, GH, BP), pp. 59–68.
- TPDL-2015-ThomasSBNRH #library
- Digital Libraries Unfurled: Supporting the New Zealand Flag Debate (BMT, JMS, DB, DMN, WJR, GH), pp. 330–333.
- SAC-2013-BifetPRH #adaptation #classification #data type #performance #probability
- Efficient data stream classification via probabilistic adaptive windows (AB, BP, JR, GH), pp. 801–806.
- KDD-2012-Holmes #data mining #mining
- Developing data mining applications (GH), p. 225.
- KDD-2011-BifetHPG #data type #evolution #graph #mining
- Mining frequent closed graphs on evolving data streams (AB, GH, BP, RG), pp. 591–599.
- KDD-2011-KremerKJSBHP #clustering #data type #effectiveness #evaluation #evolution
- An effective evaluation measure for clustering on evolving data streams (HK, PK, TJ, TS, AB, GH, BP), pp. 868–876.