Selected publications of Hannu T.T. Toivonen

This list is not updated regularly, so recent publications may be missing.

2002

  • Bayesian analysis of metapopulation data by R.B. O'Hara, E. Arjas, H.T.T. Toivonen, and I. Hanski. Ecology. Accepted for publication.

    2001

  • Mining associations between genetic markers, phenotypes and covariates by 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 by 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 by 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 by 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 by Luc Dehaspe and Hannu TT Toivonen. In N. Lavrac and S. Dzeroski, editors, Relational Data Mining, 189 - 212. Springer-Verlag, 2001. (Preliminary version)
  • TreeDT: Gene mapping by tree disequilibrium test by 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. (Extended version: Report C-2001-32, University of Helsinki, Department of Computer Science, June 2001.)
  • Applying Bayesian statistics to organism-based environmental reconstruction by Hannu TT Toivonen, Heikki Mannila, Atte Korhola, and Heikki Olander. Ecological Applications 11(2): 618 - 630, 2001.

    2000

  • A Bayesian multinomial Gaussian response model for organism-based environmental reconstruction by Kari Vasko, Hannu TT Toivonen, and Atte Korhola. Journal of Paleolimnology 24(3): 243 - 250, October 2000.
  • Data mining applied to linkage disequilibrium mapping by 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 by 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.

    1999

  • Discovery of frequent Datalog patterns by Luc Dehaspe and Hannu Toivonen. Data Mining and Knowledge Discovery, 3(1): 7 - 36, March 1999.
  • Rule discovery in telecommunication alarm data by 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 by 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 by 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 by 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.

    1998

  • Finding frequent substructures in chemical compounds by 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 by 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 by 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.

    1997

  • Levelwise search and borders of theories in knowledge discovery by Heikki Mannila and Hannu Toivonen. Data Mining and Knowledge Discovery 1(3): 241 - 258, November 1997. (Preliminary Report C-1997-8, University of Helsinki, Department of Computer Science, January 1997.)
  • Discovery of frequent episodes in event sequences by Heikki Mannila, Hannu Toivonen, and A. Inkeri Verkamo. Data Mining and Knowledge Discovery 1(3): 259 - 289, November 1997. (Preliminary Report C-1997-15, University of Helsinki, Department of Computer Science, February 1997.)
  • Data mining, hypergraph transversals, and machine learning by Dimitrios Gunopulos, Roni Khardon, Heikki Mannila, and Hannu Toivonen. In Proceedings of the Sixteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS'97), 209 - 216, Tucson, Arizona, May 1997. ACM.
  • A data-mining methodology and its application to semi-automatic knowledge acquisition by 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.

    1996

  • Sampling large databases for association rules by 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 by 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 by 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 by 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 by 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 by 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" by 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 by Hannu Toivonen. PhD Thesis, Report A-1996-5, University of Helsinki, Department of Computer Science, November 1996. 116 pages. ISBN 951-45-7531-8.

    1995

  • Discovering frequent episodes in sequences by 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 by 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 by 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.

    1994

  • Efficient algorithms for discovering association rules by 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 by Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen, and A. Inkeri Verkamo. In Third International Conference on Information and Knowledge Management (CIKM'94), 401 - 407, Gaithersburg, Maryland, November 1994. ACM Press.
  • Q3E: Q3 emulator agent by Kari Rossi and Hannu Toivonen. In IEEE Network Operations and Management Symposium (NOMS'94), 70 - 80, Kissimmee, Florida, February 1994. IEEE.

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