Hannu Toivonen
PhD, Professor of Computer Science
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Research interests
- Knowledge Discovery, Creative Discovery, computational creativity, data mining, analysis of scientific data, search and exploration of networked information, with applications e.g. in bioinformatics.
Current activities
- Chair in Computer Science, leader of the Discovery Research Group
- Associate Editor, Computational Intelligence (IF 3.310)
- Editorial Board Member, Data Mining and Knowledge Discovery (IF 2.421)
- Editorial Board Member, Machine Learning (IF 2.326)
- Current Programme Committee memberships. AAAI 12 (Area Chair), ECAI 12 (Area Chair), ECMLPKDD 12 (Area Chair), ICDM 12 (Vice Chair), SDM 12 (Senior Member), ICDE 12, CIKM 12, ASONAM 12, IRF 12, IDA 12 (PC Advisor)
- Member of The Algorithmic Data Analysis (Algodan) Centre of Excellence
- Affiliated with The Helsinki Institute for Information Technology HIIT
- 11800 citations, h-index 36 according to Google Scholar (Dec 2011)
Recent publications (more complete list | Google Scholar)
- Effective Pruning for the Discovery of Conditional Functional Dependencies, The Computer Journal. Accepted for publication.
- Biomine: Predicting links between biological entities using network models of heterogeneous database, BMC Bioinformatics, 2012. Accepted for publication.
- Corpus-Based Generation of Content and Form in Poetry, ICCC 2012. To appear.
- Patterns and Logic for Reasoning with Networks, In Bisociative Knowledge Discovery, 2012. To appear.
- A Model for Mining Relevant and Non-redundant Information, ACM SAC 2012.
- SegMine workflows for semantic microarray data analysis in Orange4WS, BMC Bioinformatics 2011.
- Compression of weighted graphs, SIGKDD 2011.
- Frequent Pattern, Encyclopedia of Machine Learning 2010.
- Predicting and preventing student failure - using the k-nearest neighbour method to predict student performance in an online course environment, International Journal of Learning Technology 2010.
- Network Simplification with Minimal Loss of Connectivity, ICDM 2010.
- Bisociative Knowledge Discovery for Microarray Data Analysis, ICCC 2010.
- Finding Reliable Subgraphs from Large Probabilistic Graphs, Data Mining and Knowledge Discovery 2008.
- Compressing Probabilistic Prolog Programs, Machine Learning 2008.
- ProbLog: A Probabilistic Prolog and its Application in Link Discovery, IJCAI 2007.
- Probabilistic Explanation Based Learning, the Best Paper Award winner of ECML 2007.
Many articles and misc. citation statistics are also available from Google Scholar, ResearcherID (Thomson Reuters), and Scopus (Elsevier).
Teaching
- Data Mining (spring 12)
- Autumn School on Computational Creativity (Nov 7-11, 2011)
- MSc Thesis Seminar in Algorithms and Machine Learning (autumn 11)
- Seminar on Computational Creativity (autumn 11)
- Workshop on Computational Creativity (autumn 11)
- Data Mining (spring 11)
- Data Mining Project (spring 11)
Contact information
Email: firstname.lastname@cs.helsinki.fi
No regular office hours (vastaanotto). Email me for an appointment.
Address:
Room B229b, Exactum building
Department of Computer Science
P.O. Box 68 (Gustaf Hällströmin katu 2b)
FI-00014 University of Helsinki, Finland
Tel. +358 9 19151184, fax +358 9 19151120
Mobile +358 50 9112405