World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
27671
World Ranking
2825
National Ranking
18

Overview

Hannu Toivonen is affiliated with the University of Helsinki in Finland and is active in research primarily within the field of Computer Science. Their work spans a range of subfields including Artificial Intelligence, Information Systems, Sociology and Political Science, Developmental and Educational Psychology, and Mechanical Engineering.

The scientist's research topics include:

  • Natural Language Processing Techniques
  • Speech and dialogue systems
  • Second Language Acquisition and Learning
  • Web Data Mining and Analysis
  • Digital Humanities and Scholarship
  • Digital and Traditional Archives Management
  • Research Data Management Practices

Frequent co-authors collaborating with Hannu Toivonen encompass Khalid Alnajjar, Mark Granroth-Wilding, Leo Leppänen, Antoine Doucet, and Elaine Zosa.

The scientist's notable recent publications include:

  • "Integrated interdisciplinary workflows for research on historical newspapers: Perspectives from humanities scholars, computer scientists, and librarians," 2021, Journal of the Association for Information Science and Technology
  • "Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation," 2021, Zenodo (CERN European Organization for Nuclear Research)
  • "Computational generation of slogans," 2020, Natural Language Engineering
  • "NewsEye: A digital investigator for historical newspapers," 2020, HAL (Le Centre pour la Communication Scientifique Directe)
  • "Torque estimation in marine propulsion systems," 2022, Mechanical Systems and Signal Processing

Frequent publication venues for Hannu Toivonen include Zenodo (CERN European Organization for Nuclear Research), Natural Language Engineering, Helda (University of Helsinki), Journal of the Association for Information Science and Technology, and Mechanical Systems and Signal Processing.

Best Publications

  • Fast discovery of association rules

    Rakesh Agrawal;Heikki Mannila;Ramakrishnan Srikant;Hannu Toivonen

  • Discovery of Frequent Episodes in Event Sequences

    Heikki Mannila;Hannu Toivonen;A. Inkeri Verkamo

  • Sampling Large Databases for Association Rules

    Hannu Toivonen

  • Efficient algorithms for discovering association rules

    Heikki Mannila;Hannu Toivonen;A. Inkeri Verkamo

  • Finding interesting rules from large sets of discovered association rules

    Mika Klemettinen;Heikki Mannila;Pirjo Ronkainen;Hannu Toivonen

  • Levelwise Search and Borders of Theories in KnowledgeDiscovery

    Heikki Mannila;Hannu Toivonen

  • ProbLog: a probabilistic prolog and its application in link discovery

    Luc De Raedt;Angelika Kimmig;Hannu Toivonen

  • Discovering Frequent Episodes in Sequences.

    Heikki Mannila;Hannu Toivonen;A. Inkeri Verkamo

  • Tane: An Efficient Algorithm for Discovering Functional and Approximate Dependencies

    Ykä Huhtala;Juha Kärkkäinen;Pasi Porkka;Hannu Toivonen

  • ContextPhone: a prototyping platform for context-aware mobile applications

    M. Raento;A. Oulasvirta;R. Petit;H. Toivonen

  • Finding frequent substructures in chemical compounds

    Luc Dehaspe;H Toivonen;Ross D King

  • Discovering generalized episodes using minimal occurrences

    Heikki Mannila;Hannu Toivonen

  • Discovery of frequent DATALOG patterns

    Luc Dehaspe;Hannu Toivonen

  • Sistema y método para proporcionar recomendaciones sensibles al contexto a los servicios digitales

    Sorvari Antti;Kähäri Markus;Toivonen Hannu;Mannila Heikki

  • Verkamo: Fast Discovery of Association Rules

    Rakesh Agrawal;Heikki Mannila;Rayadurgam Srikant;Hannu T. T. Toivonen

  • Time series segmentation for context recognition in mobile devices

    J. Himberg;K. Korpiaho;H. Mannila;J. Tikanmaki

  • Pruning and grouping of discovered association rules

    Hannu T. T. Toivonen;Mika Klemettinen;Pirjo Ronkainen;Kimmo H t nen

  • Multiple uses of frequent sets and condensed representations extended abstract

    Heikki Mannila;Hannu Toivonen

  • Location-based novelty index value and recommendation system and method

    Eero Rasanen;Roman Kikta;Antti Sorvari;Jukka-Pekka Salmenkaita

  • Data mining, hypergraph transversals, and machine learning

    Dimitrios Gunopulos;Roni Khardon;Heikki Mannila;Hannu Toivonen

Frequent Co-Authors

Heikki Mannila
Heikki Mannila Aalto University
Juha Kere
Juha Kere Karolinska Institute
Nada Lavrač
Nada Lavrač Jozef Stefan Institute
Jason T. L. Wang
Jason T. L. Wang New Jersey Institute of Technology
Mohammed J. Zaki
Mohammed J. Zaki Rensselaer Polytechnic Institute
Luc De Raedt
Luc De Raedt KU Leuven
Ross D. King
Ross D. King University of Manchester
Juha Kärkkäinen
Juha Kärkkäinen University of Helsinki
Rakesh Agrawal
Rakesh Agrawal Purdue University West Lafayette
Dimitrios Gunopulos
Dimitrios Gunopulos National and Kapodistrian University of Athens

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens up numerous online degree options and career paths, especially for students with varying academic backgrounds. For those concerned about past grades, there are universities for low gpa that offer flexible admissions, making it possible to pursue a technology career even with a less competitive GPA.

If you are interested in fast-tracking your studies, you can consider a computer science degree online through accelerated programs. These allow you to enter the workforce more quickly or switch careers with minimal delay.

Computer science skills are in high demand across fields, including environmental industries. If you’re curious about these intersections, it’s worth looking into what what can you do with an environmental studies degree and seeing how computing knowledge supports sustainability and green technology.

Additionally, for those wanting a related, technical discipline with growing job prospects, consider an environmental engineering degree online. These programs combine science, engineering, and computational problem-solving to address environmental challenges.

Best Scientists Citing Hannu Toivonen

Trending Scientists