World's Best Scientists 2026 revealed!
Heikki Mannila

Heikki Mannila

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Computer Science
Finland
2026

D-Index & Metrics

Computer Science

D-Index
82
Citations
41270
World Ranking
932
National Ranking
4

Research.com Recognitions

  • 2026 - Research.com Computer Science in Finland Leader Award
  • 2025 - Research.com Computer Science in Finland Leader Award
  • 2023 - Research.com Computer Science in Finland Leader Award
  • 2022 - Research.com Computer Science in Finland Leader Award

Overview

Heikki Mannila is affiliated with Aalto University in Finland and focuses primarily on engineering, with specific attention to electrical and electronic engineering, artificial intelligence, and building and construction.

Their research spans several main topics, including advanced clustering algorithms research, building energy and comfort optimization, energy load and power forecasting, data mining algorithms and applications, data management and algorithms, graph theory and CDMA systems, and simulation techniques and applications.

The scientist has published multiple papers across well-known venues. Recent publications include:

  • "Tell Me Something I Don't Know: Randomization Strategies for Iterative Data Mining," 2020, arXiv (Cornell University)
  • "The Hadamard decomposition problem," 2024, Data Mining and Knowledge Discovery
  • "Issue Information," 2020, Statistical Analysis and Data Mining The ASA Data Science Journal
  • "Issue Information," 2020, Statistical Analysis and Data Mining The ASA Data Science Journal
  • "Issue Information," 2020, Statistical Analysis and Data Mining The ASA Data Science Journal

Frequent co-authors collaborating with Heikki Mannila include:

  • Jia Li
  • Guang Cheng
  • Ranjan Maitra
  • Bertrand Clarke
  • Sayan Mukherjee

The scientist's work is often featured in several venues, such as:

  • Statistical Analysis and Data Mining The ASA Data Science Journal
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Data Mining and Knowledge Discovery
  • Energy and Buildings

Best Publications

  • Principles of Data Mining

    David J. Hand;Padhraic Smyth;Heikki Mannila

  • 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

  • Random projection in dimensionality reduction: applications to image and text data

    Ella Bingham;Heikki Mannila

  • Clustering aggregation

    A. Gionis;H. Mannila;P. Tsaparas

  • 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

  • Rule discovery from time series

    Gautam Das;King-Ip Lin;Heikki Mannila;Gopal Renganathan

  • Discovering Frequent Episodes in Sequences.

    Heikki Mannila;Hannu Toivonen;A. Inkeri Verkamo

  • A database perspective on knowledge discovery

    Tomasz Imielinski;Heikki Mannila

  • Disjunctive datalog

    Thomas Eiter;Georg Gottlob;Heikki Mannila

  • Discovering generalized episodes using minimal occurrences

    Heikki Mannila;Hannu Toivonen

  • Finding Similar Time Series

    Gautam Das;Dimitrios Gunopulos;Heikki Mannila

  • 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

  • The Discrete Basis Problem

    P. Miettinen;T. Mielikainen;A. Gionis;G. Das

  • The Design of Relational Databases

    Heikki Mannila;Kari-Jouko Räihä

  • Assessing data mining results via swap randomization

    Aristides Gionis;Heikki Mannila;Taneli Mielikäinen;Panayiotis Tsaparas

  • Time series segmentation for context recognition in mobile devices

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

  • Algorithms and Applications

    Tapio Elomaa;Heikki Mannila;Pekka Orponen

Frequent Co-Authors

Hannu Toivonen
Hannu Toivonen University of Helsinki
Aristides Gionis
Aristides Gionis Royal Institute of Technology
Padhraic Smyth
Padhraic Smyth University of California, Irvine
Esko Ukkonen
Esko Ukkonen University of Helsinki
David J. Hand
David J. Hand Imperial College London
Mikael Fortelius
Mikael Fortelius University of Helsinki
Gautam Das
Gautam Das The University of Texas at Arlington
Juha Kere
Juha Kere Karolinska Institute
Dimitrios Gunopulos
Dimitrios Gunopulos National and Kapodistrian University of Athens
Leena Peltonen
Leena Peltonen University of Helsinki

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