Travelled to:1 × France
3 × USA
Collaborated with:R.Bekkerman R.Pan ∅ K.Viswanathan G.Forman S.Rajaram I.Mierswa M.Wurst R.Klinkenberg T.Euler
Talks about:data (3) cluster (2) scale (2) mine (2) combinatori (1) subgroup (1) sequenti (1) prototyp (1) collabor (1) classifi (1)
Person: Martin Scholz
DBLP: Scholz:Martin
Contributed to:
2009
200820062005Wrote 6 papers:
- KDD-2009-BekkermanSV #clustering #combinator
- Improving clustering stability with combinatorial MRFs (RB, MS, KV), pp. 99–108.
- KDD-2009-FormanSR #classification #linear
- Feature shaping for linear SVM classifiers (GF, MS, SR), pp. 299–308.
- KDD-2009-PanS #collaboration #scalability
- Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering (RP, MS), pp. 667–676.
- CIKM-2008-BekkermanS #clustering #scalability #state of the art #weaving
- Data weaving: scaling up the state-of-the-art in data clustering (RB, MS), pp. 1083–1092.
- KDD-2006-MierswaWKSE #agile #data mining #mining #named #prototype
- YALE: rapid prototyping for complex data mining tasks (IM, MW, RK, MS, TE), pp. 935–940.
- KDD-2005-Scholz #mining
- Sampling-based sequential subgroup mining (MS), pp. 265–274.