Hannu (TT) Toivonen - Google Scholar

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Citations	23029	5375
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Co-authors

Jukka M. ToivanenSenior Data Scientist at Nitor, PhD from Univ. HelsinkiVerified email at helsinki.fi
Rakesh AgrawalTechnical Fellow, Microsoft ResearchVerified email at microsoft.com
onkamo pUniversity of TurkuVerified email at helsinki.fi
Oskar GrossHead of Cybercrime Bureau, Police and Border Guard BoardVerified email at politsei.ee
Luc De Raedtprofessor, KU LeuvenVerified email at cs.kuleuven.be
Angelika KimmigCardiff UniversityVerified email at cs.kuleuven.be
Jukka-Pekka SalmenkaitaElisa OyjVerified email at elisa.fi
Markus KähäriVerified email at analyse2.com
Fang ZhouEast China Normal UniversityVerified email at dase.ecnu.edu.cn
Mika RaentoGoogle IncVerified email at google.com
Atte KorholaProfessor of Environmental ChangeVerified email at helsinki.fi
Alessandro ValituttiUniversity of BirmhingamVerified email at ucd.ie
Ross D. KingProfessor of Machine Intelligence, Chalmers UniversityVerified email at chalmers.se
Antti OulasvirtaAalto UniversityVerified email at aalto.fi
Juha KärkkäinenDepartment of Computer scienceVerified email at cs.helsinki.fi
Ramakrishnan SrikantDistinguished Research Scientist, GoogleVerified email at google.com
Antoine DoucetFull Professor of Computer Science, University of La Rochelle, FranceVerified email at univ-lr.fr
Nada LavracJozef Stefan InstituteVerified email at ijs.si
Mohammed J. ZakiProfessor, Computer Science Department, RPIVerified email at cs.rpi.edu
Pasi PorkkaResearcher, Tampere University of TechnologyVerified email at tut.fi

Hannu (TT) Toivonen

Professor of Computer Science, University of Helsinki

Verified email at cs.helsinki.fi - Homepage

Computer Science Data Science Computational Creativity Artificial Intelligence #UnivHelsinkiCS


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Fast discovery of association rules R Agrawal, H Mannila, R Srikant, H Toivonen, AI Verkamo Advances in knowledge discovery and data mining, 307-328, 1996	3573	1996
Discovering frequent episodes in sequences. Extended abstract H Mannila, H Toivonen, AI Verkamo First International Conference on Knowledge Discovery and Data Mining (KDD …, 1995	2988*	1995
Discovery of frequent episodes in event sequences H Mannila, H Toivonen, AI Verkamo Data mining and knowledge discovery 1 (3), 259-289, 1997	2929	1997
Sampling large databases for association rules H Toivonen Vldb 96, 134-145, 1996	1863	1996
Efficient Algorithms for Discovering Association Rules H Mannila, H Toivonen, AI Verkamo KDD-94: AAAI workshop on Knowledge Discovery in Databases, 1994	1166	1994
Finding interesting rules from large sets of discovered association rules M Klemettinen, H Mannila, P Ronkainen, H Toivonen, AI Verkamo Proceedings of the third international conference on Information and …, 1994	1083	1994
Levelwise search and borders of theories in knowledge discovery H Mannila, H Toivonen Data mining and knowledge discovery 1 (3), 241-258, 1997	946	1997
ProbLog: A probabilistic Prolog and its application in link discovery L De Raedt, A Kimmig, H Toivonen IJCAI'07 Proceedings of the 20th international joint conference on Artifical …, 2007	700	2007
ContextPhone: A prototyping platform for context-aware mobile applications M Raento, A Oulasvirta, R Petit, H Toivonen IEEE pervasive computing 4 (2), 51-59, 2005	691	2005
TANE: An efficient algorithm for discovering functional and approximate dependencies Y Huhtala, J Kärkkäinen, P Porkka, H Toivonen The computer journal 42 (2), 100-111, 1999	644	1999
Discovering Generalized Episodes Using Minimal Occurrences. H Mannila, H Toivonen KDD 96, 146-151, 1996	566	1996
Discovery of frequent datalog patterns L Dehaspe, H Toivonen Data Mining and knowledge discovery 3 (1), 7-36, 1999	450	1999
System and method for providing context sensitive recommendations to digital services A Sorvari, M Kähäri, H Toivonen, H Mannila, JP Salmenkaita US Patent 7,570,943, 2009	439	2009
Apparatus and method for facilitating contact selection in communication devices A Sorvari, M Kahari, H Toivonen, JP Salmenkaita, C Gheorghiu US Patent 7,580,363, 2009	404	2009
Finding Frequent Substructures in Chemical Compounds. L Dehaspe, H Toivonen, RD King KDD 98, 1998, 1998	391	1998
Pruning and grouping discovered association rules H Toivonen, M Klemettinen, P Ronkainen, K Hätönen, H Mannila	364	1995
Time series segmentation for context recognition in mobile devices J Himberg, K Korpiaho, H Mannila, J Tikanmaki, HTT Toivonen Proceedings 2001 IEEE International Conference on Data Mining, 203-210, 2001	298	2001
Multiple uses of frequent sets and condensed representations: Extended abstract H Mannila, H Toivonen Proc. of the 2nd International Conference on Knowledge Discovery and Data …, 1996	292	1996
Data mining, hypergraph transversals, and machine learning D Gunopulos, H Mannila, R Khardon, H Toivonen Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on …, 1997	279	1997
Discovering all most specific sentences D Gunopulos, R Khardon, H Mannila, S Saluja, H Toivonen, RS Sharma ACM Transactions on Database Systems (TODS) 28 (2), 140-174, 2003	249	2003

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