Travelled to:
1 × USA
2 × Australia
Collaborated with:
E.Upfal J.A.DeBrabant R.Fonseca A.Anagnostopoulos L.Becchetti A.Fazzone I.Mele
Talks about:
algorithm (2) rademach (2) averag (2) sampl (2) mine (2) crowdsourc (1) progress (1) parallel (1) frequent (1) approxim (1)
Person: Matteo Riondato
DBLP: Riondato:Matteo
Contributed to:
Wrote 4 papers:
- KDD-2015-RiondatoU #mining
- Mining Frequent Itemsets through Progressive Sampling with Rademacher Averages (MR, EU), pp. 1005–1014.
- KDD-2015-RiondatoU15a #algorithm #learning #statistics
- VC-Dimension and Rademacher Averages: From Statistical Learning Theory to Sampling Algorithms (MR, EU), pp. 2321–2322.
- SIGMOD-2015-Anagnostopoulos #crowdsourcing #performance
- The Importance of Being Expert: Efficient Max-Finding in Crowdsourcing (AA, LB, AF, IM, MR), pp. 983–998.
- CIKM-2012-RiondatoDFU #algorithm #approximate #mining #named #parallel #pipes and filters #random
- PARMA: a parallel randomized algorithm for approximate association rules mining in MapReduce (MR, JAD, RF, EU), pp. 85–94.