Travelled to:1 × Australia
1 × Canada
1 × India
1 × Italy
7 × USA
Collaborated with:H.Mannila A.I.Verkamo L.Langohr ∅ O.Gross A.Doucet P.Sevon V.Ollikainen L.Dehaspe R.D.King F.Zhou A.Hartikainen A.Hinkka D.Gunopulos R.Khardon M.Holsheimer M.L.Kersten R.Agrawal R.Srikant M.Klemettinen P.Ronkainen
Talks about:associ (5) rule (5) discov (4) frequent (3) mine (3) databas (2) episod (2) tree (2) larg (2) find (2)
Person: Hannu Toivonen
DBLP: Toivonen:Hannu
Contributed to:
2014
2012
201120011998
199719961996
19961995
19941994Wrote 14 papers:
- SIGIR-2014-GrossDT #documentation #summary #word
- Document summarization based on word associations (OG, AD, HT), pp. 1023–1026.
- SAC-2012-LangohrT #mining
- A model for mining relevant and non-redundant information (LL, HT), pp. 132–137.
- KDD-2011-ToivonenZHH #graph
- Compression of weighted graphs (HT, FZ, AH, AH), pp. 965–973.
- KDD-2001-SevonTO #named
- TreeDT: gene mapping by tree disequilibrium test (PS, HT, VO), pp. 365–370.
- KDD-1998-DehaspeTK
- Finding Frequent Substructures in Chemical Compounds (LD, HT, RDK), pp. 30–36.
- PODS-1997-GunopulosKMT #data mining #machine learning #mining
- Data mining, Hypergraph Transversals, and Machine Learning (DG, RK, HM, HT), pp. 209–216.
- AKDDM-1996-AgrawalMSTV #performance
- Fast Discovery of Association Rules (RA, HM, RS, HT, AIV), pp. 307–328.
- KDD-1996-MannilaT #using
- Discovering Generalized Episodes Using Minimal Occurrences (HM, HT), pp. 146–151.
- KDD-1996-MannilaT96a #multi #set
- Multiple Uses of Frequent Sets and Condensed Representations (HM, HT), pp. 189–194.
- VLDB-1996-Toivonen #database #scalability
- Sampling Large Databases for Association Rules (HT), pp. 134–145.
- KDD-1995-HolsheimerKMT #data mining #database #mining
- A Perspective on Databases and Data Mining (MH, MLK, HM, HT), pp. 150–155.
- KDD-1995-MannilaTV #sequence
- Discovering Frequent Episodes in Sequences (HM, HT, AIV), pp. 210–215.
- CIKM-1994-KlemettinenMRTV #scalability #set
- Finding Interesting Rules from Large Sets of Discovered Association Rules (MK, HM, PR, HT, AIV), pp. 401–407.
- KDD-1994-MannilaTV #algorithm #performance
- Efficient Algorithms for Discovering Association Rules (HM, HT, AIV), pp. 181–192.