Department of Computer Science

Department information

Publications of Hannu Toivonen (Hannu T.T. Toivonen)

Articles and citation statistics available from Google Scholar (e.g., 11000 citations, h-index 36), ResearcherID/Thomson Reuters (e.g., average citations/article 37), and Scopus/Elsevier.

List of selected publications

• A Model for Mining Relevant and Non-redundant Information
  Laura Langohr and Hannu Toivonen. ACM Symposium on Applied Computing, 451-456, 2012. Accepted for publication.
• SegMine workflows for semantic microarray data analysis in Orange4WS
  Vid Podpecan, Nada Lavrac, Igor Mozetic, Petra Kralj Novak, Igor Trajkovski, Laura Langohr, Kimmo Kulovesi, Hannu Toivonen, Marko Petek, Helena Motaln, Kristina Gruden. BMC Bioinformatics 12:416, 2011.
• Compression of weighted graphs

  Hannu Toivonen, Fang Zhou, Aleksi Hartikainen, Atte Hinkka
  KDD '11 Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, 2011
  (Data sets used in the paper)
• Frequent Pattern
  Hannu Toivonen. In Encyclopedia of Machine Learning by Claude Sammut and Geoffrey I. Webb (Eds.), Springer, 2010. (H. Toivonen also contributed short entries for Apriori Algorithm, Association Rule, Basket Analysis, and Frequent Itemset.
• Predicting and preventing student failure - using the k-nearest neighbour method to predict student performance in an online course environment
  Tuomas Tanner and Hannu Toivonen. International Journal of Learning Technology 5 (4): 356-377. 2010.
• Probabilistic Inductive Querying Using ProbLog
  Luc De Raedt, Angelika Kimmig, Bernd Gutmann, Kristian Kersting, Vitor Santos Costa, and Hannu Toivonen. In Inductive Databases and Constraint-Based Data Mining by S. Dzeroski, B. Goethals, and P. Panov (Eds.), 229-262, Springer, 2010.
• Network Simplification with Minimal Loss of Connectivity
  Fang Zhou, Sebastien Mahler, and Hannu Toivonen. The 10th IEEE International Conference on Data Mining (ICDM), 659-668, Sydney, Australia, December 2010.
• Fast Discovery of Reliable Subnetworks
  Petteri Hintsanen, Hannu Toivonen, and Petteri Sevon. The 2010 International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 104-111, Odense, Denmark, August 2010.
• A Framework for Path-Oriented Network Simplification
  Hannu Toivonen, Sebastien Mahler, and Fang Zhou. The Ninth International Symposium on Intelligent Data Analysis (IDA), 220-231, Tucson, Arizona, US, May 2010.
• Fast Discovery of Reliable k-terminal Subgraphs
  Melissa Kasari, Hannu Toivonen, and Petteri Hintsanen. The 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Part II, LNAI 6119, 168-177, Hyderabad, India, June 2010.
• Bisociative Knowledge Discovery for Microarray Data Analysis
  Igor Mozetic, Nada Lavrac, Vid Podpecan, Petra Kralj Novak, Helena Motaln, Marko Petek, Kristina Gruden, Hannu Toivonen, and Kimmo Kulovesi. The 1st International Conference on Computational Creativity (ICCC-X), 190-199, Lisbon, Portugal, January 2010.
• Constructing Information Networks from Textual Documents
  Matjaz Jursic, Nada Lavrac, Igor Mozetic, Vid Podpecan, and Hannu Toivonen. Workshop on Explorative Analytics of Information Networks at ECML PKDD, 23-38, Bled, Slovenia, September 2009.
• Finding representative nodes in probabilistic graphs
  Laura Langohr, Hannu Toivonen. Workshop on Explorative Analytics of Information Networks at ECML PKDD, 65-76, Bled, Slovenia, September 2009.
• Review of Network Abstraction Techniques
  Fand Zhou, Sebastien Mahler, Hannu Toivonen Workshop on Explorative Analytics of Information Networks at ECML PKDD, 50-63, Bled, Slovenia, September 2009.
• Finding Reliable Subgraphs from Large Probabilistic Graphs
  Petteri Hintsanen, Hannu Toivonen. Data Mining and Knowledge Discovery 17 (1): 3-23. 2008.
• Compressing Probabilistic Prolog Programs
  Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen. Machine Learning 70 (2-3): 151-168. 2008.
• ProbLog: A Probabilistic Prolog and its Application in Link Discovery
  Luc De Raedt, Angelika Kimmig, Hannu Toivonen. Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07), 2468-2473, Hyderabad, India, January 2007. ProbLog web site.
• Probabilistic Explanation Based Learning
  Luc De Raedt, Angelika Kimmig, Hannu Toivonen. 18th European Conference on Machine Learning (ECML), 176-187, Warsaw, Poland, September 2007. Winner of the ECML-07 Best Paper Award.
• Constrained Hidden Markov Models for Population-based Haplotyping
  Niels Landwehr, Taneli Mielikainen, Lauri Eronen, Hannu Toivonen, Heikki Mannila. BMC Bioinformatics 2007, 8(Suppl 2):59.
• HaploRec: Efficient and accurate large-scale reconstruction of haplotypes
  Lauri Eronen, Floris Geerts, and Hannu Toivonen. BMC Bioinformatics 7:542. 2006.
• An empirical comparison of case-control and trio-based study designs in high-throughput association mapping
  Petteri Hintsanen, Petteri Sevon, Päivi Onkamo, Lauri Eronen, and Hannu Toivonen. Journal of Medical Genetics 43: 617-624, 2006.
• Closed Non-Derivable Itemsets
  Juho Muhonen and Hannu Toivonen. The 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 06), 601-608, Berlin, Germany, September 2006.
• Visualisation of Associations Between Nucleotides in SNP Neighbourhoods
  Kimmo Kulovesi, Juho Muhonen, Ilkka Lappalainen, Pentti T. Riikonen, Mauno Vihinen, Hannu Toivonen and Tomi A. Pasanen. Workshop on Intelligent Data Analysis in bioMedicine and Pharmacology (IDAMAP 06), 61-62, Verona, Italy, August 2006.
• Link discovery in graphs derived from biological databases
  Petteri Sevon, Lauri Eronen, Petteri Hintsanen, Kimmo Kulovesi, Hannu Toivonen. 3rd International Workshop on Data Integration in the Life Sciences 2006 (DILS'06), LNBI 4705, 35-49, Hinxton, UK, July 2006. Springer.
• TreeDT: Tree pattern mining for gene mapping
  Petteri Sevon, Hannu Toivonen, Vesa Ollikainen. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 3 (2): 174-185, April-June 2006.
• A survey of data mining methods for linkage disequilibrium mapping
  Päivi Onkamo and Hannu Toivonen. Human Genomics, 2 (5): 336-340, 2006.
• ContextPhone - A prototyping platform for context-aware mobile applications
  Mika Raento, Antti Oulasvirta, Renaud Petit, Hannu Toivonen. IEEE Pervasive Computing, 4 (2): 51-59, 2005.
• Combining phenotypic and genotypic data to discover multiple disease genes
  Hannu Toivonen, Saara Hyvönen, Petteri Sevon. Symposium on Knowledge Representation in Bioinformatics (KRBIO'05), 7-14, Espoo, Finland, June 2005.
• Mining non-derivable association rules
  Bart Goethals, Juho Muhonen, and Hannu Toivonen. SIAM International Conference on Data Mining, 239-249, Newport Beach, CA, April 2005. SIAM.
• Data Mining in Bioinformatics
  Jason Wang, Mohammed Zaki, Hannu Toivonen, and Dennis Shasha (Eds.), Springer, 2005. ISBN 1-85233-671-4.
• Data Mining for Gene Mapping
  Hannu Toivonen, Päivi Onkamo, Petteri Hintsanen, Evimaria Terzi, and Petteri Sevon. In Next Generation of Data Mining Applications by Mehmed Kantardzic and Jozef Zurada (Eds.), 263-293. Wiley-IEEE Press, 2005. (manuscript)
• Sosiaalista tilatietoa kontekstipuhelimella
  Mika Raento, Antti Oulasvirta, Hannu Toivonen ja Martti Mäntylä. Prosessori 1/2005, s. 54-56. (käsikirjoitus)
• Gene Mapping by Pattern Discovery
  Petteri Sevon, Hannu T.T. Toivonen, and Päivi Onkamo. In J. Wang et al (Eds.), Data Mining in Bioinformatics, 105-126. Springer, 2005. (manuscript)
• Mining relaxed graph properties in internet
  Wilhelmiina Hämäläinen, Hannu Toivonen, and Vladimir Poroshin. IADIS International Conference WWW/Internet 2004, 152-159, Madrid, Spain, October 2004.
• Paleoekologia - kadonneen aarteen metsästys
  Atte Korhola, Hannu Toivonen, Kari Vasko. Tietoyhteys 3/2004 (lokakuu), s. 26-28.
• Segmentation of paleoecological spatio-temporal count data
  Kari Vasko, Hannu Toivonen, Atte Korhola. The Fourth International Workshop on Environmental Applications of Machine Learning (EAML 2004), 61-62, Bled, Slovenia, Sep-Oct 2004.
• Adaptive On-device Location Recognition
  Kari Laasonen, Mika Raento, and Hannu Toivonen. Pervasive Computing: Second International Conference (Pervasive 2004), LNCS 3001, 287-304, Vienna, Austria, April 2004. Springer Verlag.
• A Markov chain approach to reconstruction of long haplotypes
  Lauri Eronen, Floris Geerts, and Hannu Toivonen. Pacific Symposium on Biocomputing (PSB 2004), 104-115, Hawaii, USA, January 2004. World Scientific.
• Automated Detection of Epidemics from the Usage Logs of a Physicians' Reference Database
  Jaana Heino and Hannu Toivonen. 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-2003), 180-191, Cavtat-Dubrovnik, Croatia, September 2003. Springer.
• Proceedings of BIOKDD'03, 3rd ACM SIGKDD Workshop on Data Mining in Bioinformatics
  Mohammed Zaki, Jason T.L. Wang, and Hannu Toivonen (Eds.). Washington DC, August 2003. Report No. 03-11, Rensselaer Polytechnic Institute, Troy, NY. 2003. (electronic proceedings)
• Statistical evaluation of the predictive toxicology challenge 2000-2001
  Hannu Toivonen, Ashwin Srinivasan, Ross D. King, Stefan Kramer, and Christoph Helma. Bioinformatics 19 (10): 1183 - 1193, 2003.
• Discovering all most specific sentences

  Dimitrios Gunopulos, Roni Khardon, Heikki Mannila, Sanjeev Saluja, Hannu Toivonen, Ram Sewak Sharma
  ACM Transactions on Database Systems (TODS), 2003
• BIOKDD 2002: Recent Advances in Data Mining for Bioinformatics
  M.J. Zaki, J.T.L. Wang, and H.T.T.Toivonen. SIGKDD Explorations 4 (2): 112 - 114, January 2003.
• Estimating the number of segments in time series data using permutation tests
  Kari Vasko and Hannu Toivonen. The 2002 IEEE International Conference on Data Mining (ICDM'02), 466 - 473, Maebashi City, Japan, December 2002. IEEE.
• Association analysis for quantitative traits by data mining: QHPM
  P. Onkamo, V. Ollikainen, P. Sevon, HTT. Toivonen, H. Mannila, and J. Kere. The Annals of Human Genetics 66: 419 - 429, 2002.
• Bayesian analysis of metapopulation data
  R.B. O'Hara, E. Arjas, H. Toivonen, and I. Hanski. Ecology 83 (9): 2408 - 2415, 2002.
• Holocene temperature changes in northern Fennoscandia reconstructed from chironomids using Bayesian modeling
  A. Korhola, K. Vasko, H. Toivonen, and H. Olander. Quaternary Science Reviews 21(16-17), 1841 - 1860, 2002.
• Machine Learning: ECML 2002 - 12th European Conference on Machine Learning, LNCS 2430,
  T. Elomaa, H. Mannila, H. Toivonen (Eds.). Springer 2002.
• Principles of Data Mining and Knowledge Discovery - 6th European Conference, PKDD 2002, LNCS 2431,
  T. Elomaa, H. Mannila, H. Toivonen (Eds.). Springer 2002.
• BIOKDD01: Workshop on Data Mining in Bioinformatics
  M.J. Zaki, J.T.L. Wang, and H.T.T.Toivonen. SIGKDD Explorations 3 (2): 71 - 73, January 2002.
• Association analysis by data mining tools
  Päivi Onkamo, Petteri Sevon, Vesa Ollikainen, Hannu TT Toivonen, Heikki Mannila, and Juha Kere. American Journal of Human Genetics 69(4, Suppl. 1): 1320, October 2001.
• Mining associations between genetic markers, phenotypes and covariates
  Petteri Sevon, Vesa Ollikainen, Päivi Onkamo, Hannu TT Toivonen, Heikki Mannila, and Juha Kere. Genetic Epidemiology, 21(Suppl 1): S588 - S593, 2001.
• Time series segmentation for context recognition in mobile devices
  Johan Himberg, Kalle Korpiaho, Heikki Mannila, Johanna Tikanmäki, and Hannu T.T. Toivonen. In The 2001 IEEE International Conference on Data Mining (ICDM'01), 203 - 210, San Jose, California, November-December 2001. IEEE.
• A second-generation association study of the 5q31 cytokine gene cluster and the interleukin-4 receptor in asthma
  Paula Kauppi, Kerstin Lindblad-Toh, Petteri Sevon, Hannu T. T. Toivonen, John D. Rioux, Anu Villapakkam, Lauri A. Laitinen, Thomas J. Hudson, Juha Kere, and Tarja Laitinen. Genomics 77(1-2): 35 - 42, September 2001.
• BIOKDD01 Workshop on Data Mining in Bioinformatics
  Mohammed J. Zaki, Hannu T.T. Toivonen, and Jason T.L. Wang, editors. Rensselaer Polytechnic Institute, July 2001. RPI Technical Report 01-8.
• Discovery of relational association rules
  Luc Dehaspe and Hannu TT Toivonen. In N. Lavrac and S. Dzeroski, editors, Relational Data Mining, 189 - 212. Springer-Verlag, 2001. (manuscript)
• TreeDT: Gene mapping by tree disequilibrium test
  Petteri Sevon, Hannu TT Toivonen, and Vesa Ollikainen. In The Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2001), 365 - 370, San Francisco, California, August 2001. ACM.
• Applying Bayesian statistics to organism-based environmental reconstruction
  Hannu TT Toivonen, Heikki Mannila, Atte Korhola, and Heikki Olander. Ecological Applications 11(2): 618 - 630, 2001.
• A Bayesian multinomial Gaussian response model for organism-based environmental reconstruction
  Kari Vasko, Hannu TT Toivonen, and Atte Korhola. Journal of Paleolimnology 24(3): 243 - 250, October 2000.
• Data mining applied to linkage disequilibrium mapping
  Hannu TT Toivonen, Päivi Onkamo, Kari Vasko, Vesa Ollikainen, Petteri Sevon, Heikki Mannila, Mathias Herr, and Juha Kere. American Journal of Human Genetics 67(1): 133 - 145, July 2000.
• Gene mapping by haplotype pattern mining
  Hannu TT Toivonen, Päivi Onkamo, Kari Vasko, Vesa Ollikainen, Petteri Sevon, Heikki Mannila, and Juha Kere. In IEEE International Symposium on Bio-Informatics and Biomedical Engineering (BIBE 2000), 99 - 108, Arlington, Virginia, November 2000. IEEE.
• Discovery of frequent Datalog patterns
  Luc Dehaspe and Hannu Toivonen. Data Mining and Knowledge Discovery, 3(1): 7 - 36, March 1999.
• Rule discovery in telecommunication alarm data
  Mika Klemettinen, Heikki Mannila, and Hannu Toivonen. Journal of Network and Systems Management 7(4): 395 - 423, December 1999.
• TANE: An Efficient Algorithm for Discovering Functional and Approximate Dependencies
  Ykä Huhtala, Juha Kärkkäinen, Pasi Porkka, and Hannu Toivonen. The Computer Journal 42(2): 100 - 111, 1999.
• Interactive exploration of interesting patterns in the Telecommunication network alarm sequence analyzer TASA
  Mika Klemettinen, Heikki Mannila, and Hannu Toivonen. Information and Software Technology 41(9): 557 - 567, June 1999.
• Mining for similarities in aligned time series using wavelets
  Ykä Huhtala, Juha Kärkkäinen, and Hannu Toivonen. In Data Mining and Knowledge Discovery: Theory, Tools, and Technology. SPIE Proceedings Series Vol. 3695, 150 - 160, Orlando, Florida, April 1999.
• Finding frequent substructures in chemical compounds
  Luc Dehaspe, Hannu Toivonen, and Ross Donald King. In Forth International Conference on Knowledge Discovery and Data Mining (KDD'98), 30 - 36, New York, August 1998. AAAI Press.
• Learning, mining, or modeling? A case study in paleoecology
  Heikki Mannila, Hannu Toivonen, Atte Korhola, and Heikki Olander. In Discovery Science, First International Copnference, 12 - 24, Fukuoka, Japan, December 1998. Springer Verlag.
• Efficient discovery of functional and approximate dependencies using partitions
  Ykä Huhtala, Juha Kärkkäinen, Pasi Porkka, and Hannu Toivonen. In 14th International Conference on Data Engineering (ICDE'98), 392 - 401, Orlando, Florida, February 1998. IEEE Computer Society Press.
• Levelwise search and borders of theories in knowledge discovery
  Heikki Mannila and Hannu Toivonen. Data Mining and Knowledge Discovery 1(3): 241 - 258, November 1997.
• Discovery of frequent episodes in event sequences
  Heikki Mannila, Hannu Toivonen, and A. Inkeri Verkamo. Data Mining and Knowledge Discovery 1(3): 259 - 289, November 1997.
• Data mining, hypergraph transversals, and machine learning (extended abstract)

  Dimitrios Gunopulos, Heikki Mannila, Roni Khardon, Hannu Toivonen
  PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems, 1997
• A data-mining methodology and its application to semi-automatic knowledge acquisition
  Mika Klemettinen, Heikki Mannila, and Hannu Toivonen. In Proceedings of the 8th International Conference and Workshop on Database and Expert Systems Applications (DEXA'97), 670 - 677, Toulouse, France, September 1997.
• Sampling large databases for association rules
  Hannu Toivonen. In 22th International Conference on Very Large Databases (VLDB'96), 134 - 145, Mumbay, India, September 1996. Morgan Kaufmann.
• Fast discovery of association rules
  Rakesh Agrawal, Heikki Mannila, Ramakrishnan Srikant, Hannu Toivonen, and A. Inkeri Verkamo. In Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, and Ramasamy Uthurusamy, editors, Advances in Knowledge Discovery and Data Mining, 307 - 328. AAAI Press, 1996.
• Discovering generalized episodes using minimal occurrences
  Heikki Mannila and Hannu Toivonen. In 2nd International Conference on Knowledge Discovery and Data Mining (KDD'96), 146 - 151, Portland, Oregon, August 1996. AAAI Press.
• BASS: Bayesian analyzer of event sequences
  Elja Arjas, Heikki Mannila, Marko Salmenkivi, Riikka Suramo, and Hannu Toivonen. In Proceedings in Computational Statistics (COMPSTAT'96), 199 - 204, Barcelona, Spain, August 1996. Physica-Verlag.
• Multiple uses of frequent sets and condensed representations
  Heikki Mannila and Hannu Toivonen. In 2nd International Conference on Knowledge Discovery and Data Mining (KDD'96), 189 - 194, Portland, Oregon, August 1996. AAAI Press.
• Knowledge discovery from telecommunication network alarm databases
  Kimmo Hätönen, Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, and Hannu Toivonen. In 12th International Conference on Data Engineering (ICDE'96), 115 - 122, New Orleans, Louisiana, February 1996. IEEE Computer Society Press.
• TASA: Telecommunications Alarm Sequence Analyzer, or "How to enjoy faults in your network"
  Kimmo Hätönen, Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, and Hannu Toivonen. In 1996 IEEE Network Operations and Management Symposium (NOMS'96), 520 - 529, Kyoto, Japan, April 1996. IEEE.
• Discovery of frequent patterns in large data collections
  Hannu Toivonen. PhD Thesis, Report A-1996-5, University of Helsinki, Department of Computer Science, November 1996. 116 pages. ISBN 951-45-7531-8.
• Discovering frequent episodes in sequences
  Heikki Mannila, Hannu Toivonen, and A. Inkeri Verkamo. In First International Conference on Knowledge Discovery and Data Mining (KDD'95), 210 - 215, Montreal, Canada, August 1995. AAAI Press.
• A perspective on databases and data mining
  Marcel Holsheimer, Martin Kersten, Heikki Mannila, and Hannu Toivonen. In First International Conference on Knowledge Discovery and Data Mining (KDD'95), 150 - 155, Montreal, Canada, August 1995. AAAI Press.
• Pruning and grouping discovered association rules
  Hannu Toivonen, Mika Klemettinen, Pirjo Ronkainen, Kimmo Hätönen, and Heikki Mannila. In ECML-95 Workshop on Statistics, Machine Learning, and Knowledge Discovery in Databases, 47 - 52, Heraklion, Greece, April 1995.
• Efficient algorithms for discovering association rules
  Heikki Mannila, Hannu Toivonen, and A. Inkeri Verkamo. In Knowledge Discovery in Databases (KDD'94), 181 - 192, Seattle, Washington, July 1994. AAAI Press.
• Finding interesting rules from large sets of discovered association rules

  Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen, A. Inkeri Verkamo
  CIKM '94 Proceedings of the third international conference on Information and knowledge management, 1994
• Q3E: Q3 emulator agent
  Kari Rossi and Hannu Toivonen. In IEEE Network Operations and Management Symposium (NOMS'94), 70 - 80, Kissimmee, Florida, February 1994. IEEE.