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ORCIDHannu Toivonen
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- affiliation: University of Helsinki, Finland
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2020 – today
- 2023
[c79]Iikka Hauhio, Anna Kantosalo, Simo Linkola, Hannu Toivonen:
The Spectrum of Unpredictability and its Relation to Creative Autonomy. ICCC 2023: 148-152- 2022
- [j36]Sarah Oberbichler
, Emanuela Boros, Antoine Doucet, Jani Marjanen, Eva Pfanzelter, Juha Rautiainen, Hannu Toivonen, Mikko Tolonen:
Integrated interdisciplinary workflows for research on historical newspapers: Perspectives from humanities scholars, computer scientists, and librarians. J. Assoc. Inf. Sci. Technol. 73(2): 225-239 (2022) - [c78]Michele Boggia, Sardana Ivanova, Simo Linkola, Hannu Toivonen, Anna Kantosalo:
Casual Poetry Creators: A Design Pattern and Internal Evaluation Measures. ICCC 2022: 2-6 - [c77]Michele Boggia, Sardana Ivanova, Simo Linkola, Anna Kantosalo, Hannu Toivonen:
One Line at a Time - Generation and Internal Evaluation of Interactive Poetry. ICCC 2022: 7-11 - 2021
- [j35]Khalid Alnajjar, Hannu Toivonen:
Computational generation of slogans. Nat. Lang. Eng. 27(5): 575-607 (2021) - [c76]Senja Pollak, Marko Robnik-Sikonja, Matthew Purver, Michele Boggia, Ravi Shekhar, Marko Pranjic, Salla Salmela, Ivar Krustok, Tarmo Paju, Carl-Gustav Linden, Leo Leppänen, Elaine Zosa, Matej Ulcar, Linda Freienthal, Silver Traat, Luis Adrián Cabrera-Diego, Matej Martinc, Nada Lavrac, Blaz Skrlj, Martin Znidarsic, Andraz Pelicon, Boshko Koloski, Vid Podpecan, Janez Kranjc, Shane Sheehan, Emanuela Boros, José G. Moreno, Antoine Doucet, Hannu Toivonen:
EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions. EACL (Hackashop) 2021: 99-109 - [c75]Leo Leppänen, Hannu Toivonen:
A Baseline Document Planning Method for Automated Journalism. NoDaLiDa 2021: 101-111 - [e10]Hannu Toivonen, Michele Boggia:
Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, EACL 2021, Online, April 19, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-13-8 [contents] - 2020
- [c74]Antoine Doucet, Martin Gasteiner, Mark Granroth-Wilding, Max Kaiser, Minna Kaukonen, Roger Labahn, Jean-Philippe Moreux, Günter Mühlberger, Eva Pfanzelter, Marie-Eve Therenty, Hannu Toivonen, Mikko Tolonen:
NewsEye: A digital investigator for historical newspapers. DH 2020 - [c73]Lidia Pivovarova, Axel Jean-Caurant, Jari Avikainen, Khalid Al-Najjar, Mark Granroth-Wilding, Leo Leppänen, Elaine Zosa, Hannu Toivonen:
Personal Research Assistant for Online Exploration of Historical News. ECIR (2) 2020: 481-485
2010 – 2019
- 2019
- [j34]Vid Podpecan, Ziva Ramsak, Kristina Gruden, Hannu Toivonen, Nada Lavrac:
Interactive exploration of heterogeneous biological networks with Biomine Explorer. Bioinform. 35(24): 5385-5388 (2019) - [j33]Jukka M. Toivanen, Matti Järvisalo, Olli Alm, Dan Ventura, Martti Vainio, Hannu Toivonen:
Towards transformational creation of novel songs. Connect. Sci. 31(1): 4-32 (2019) - [j32]Ping Xiao, Hannu Toivonen, Oskar Gross, Amílcar Cardoso, João Correia, Penousal Machado, Pedro Martins, Hugo Gonçalo Oliveira, Rahul Sharma, Alexandre Miguel Pinto, Alberto Díaz, Virginia Francisco, Pablo Gervás, Raquel Hervás, Carlos León, Jamie Forth, Matthew Purver, Geraint A. Wiggins, Dragana Miljkovic, Vid Podpecan, Senja Pollak, Jan Kralj, Martin Znidarsic, Marko Bohanec, Nada Lavrac, Tanja Urbancic, Frank van der Velde, Stuart Adam Battersby:
Conceptual Representations for Computational Concept Creation. ACM Comput. Surv. 52(1): 9:1-9:33 (2019) - [j31]Pedro Martins, Hugo Gonçalo Oliveira, João Gonçalves, António Cruz, Amílcar Cardoso, Martin Znidarsic, Nada Lavrac, Simo Linkola, Hannu Toivonen, Raquel Hervás, Gonzalo Méndez, Pablo Gervás:
Computational creativity infrastructure for online software composition: A conceptual blending use case. IBM J. Res. Dev. 63(1): 9:1-9:17 (2019) - [c72]Khalid Al-Najjar, Leo Leppänen, Hannu Toivonen:
No Time Like the Present: Methods for Generating Colourful and Factual Multilingual News Headlines. ICCC 2019: 258-265 - 2018
- [j30]Magnus Melin, Asta Bäck, Caj Södergård, Myriam Munezero, Leo Leppänen, Hannu Toivonen:
No Landslide for the Human Journalist - An Empirical Study of Computer-Generated Election News in Finland. IEEE Access 6: 43356-43367 (2018) - [j29]Aurora Tulilaulu, Matti Nelimarkka, Joonas Paalasmaa, Daniel Johnson, Dan Ventura, Petri Myllys, Hannu Toivonen:
Data Musicalization. ACM Trans. Multim. Comput. Commun. Appl. 14(2): 47:1-47:27 (2018) - [c71]Hadaytullah Hadaytullah, Khalid Al-Najjar, Hannu Toivonen:
"Talent, Skill and Support." A Method for Automatic Creation of Slogans. ICCC 2018: 88-95 - [c70]Rola Alhalaseh, Myriam Munezero, Miika Leinonen, Leo Leppänen, Jari Avikainen, Hannu Toivonen:
Towards Data-Driven Generation of Visualizations for Automatically Generated News Articles. MindTrek 2018: 100-109 - 2017
- [j28]Fang Zhou, Qiang Qu, Hannu Toivonen:
Summarisation of weighted networks. J. Exp. Theor. Artif. Intell. 29(5): 1023-1052 (2017) - [c69]Margareta Ackerman, Ashok K. Goel, Colin G. Johnson, Anna Jordanous, Carlos León, Rafael Pérez y Pérez, Hannu Toivonen, Dan Ventura:
Teaching Computational Creativity. ICCC 2017: 9-16 - [c68]Khalid Al-Najjar, Mika Hämäläinen, Hanyang Chen, Hannu Toivonen:
Expanding and Weighting Stereotypical Properties of Human Characters for Linguistic Creativity. ICCC 2017: 25-32 - [c67]Simo Linkola, Anna Kantosalo, Tomi Männistö, Hannu Toivonen:
Aspects of Self-awareness: An Anatomy of Metacreative Systems. ICCC 2017: 189-196 - [c66]Leo Leppänen, Myriam Munezero, Mark Granroth-Wilding, Hannu Toivonen:
Data-Driven News Generation for Automated Journalism. INLG 2017: 188-197 - [c65]Leo Leppänen, Myriam Munezero, Stefanie Sirén-Heikel, Mark Granroth-Wilding, Hannu Toivonen:
Finding and expressing news from structured data. MindTrek 2017: 174-183 - [r10]Hannu Toivonen:
Apriori Algorithm. Encyclopedia of Machine Learning and Data Mining 2017: 60 - [r9]Hannu Toivonen:
Association Rule. Encyclopedia of Machine Learning and Data Mining 2017: 70-71 - [r8]Hannu Toivonen:
Basket Analysis. Encyclopedia of Machine Learning and Data Mining 2017: 98 - [r7]Hannu Toivonen:
Frequent Itemset. Encyclopedia of Machine Learning and Data Mining 2017: 523-524 - [r6]Hannu Toivonen:
Frequent Pattern. Encyclopedia of Machine Learning and Data Mining 2017: 524-529 - 2016
- [j27]Alessandro Valitutti, Antoine Doucet, Jukka M. Toivanen, Hannu Toivonen:
Computational generation and dissection of lexical replacement humor. Nat. Lang. Eng. 22(5): 727-749 (2016) - [c64]Simo Linkola, Tapio Takala, Hannu Toivonen:
Novelty-Seeking Multi-Agent Systems. ICCC 2016: 1-8 - [c63]Anna Kantosalo, Hannu Toivonen:
Modes for Creative Human-Computer Collaboration: Alternating and Task-Divided Co-Creativity. ICCC 2016: 77-84 - [c62]Ping Xiao, Khalid Al-Najjar, Mark Granroth-Wilding, Kathleen Agres, Hannu Toivonen:
Meta4meaning: Automatic Metaphor Interpretation Using Corpus-Derived Word Associations. ICCC 2016: 230-237 - [c61]Martin Znidarsic, Amílcar Cardoso, Pablo Gervás, Pedro Martins, Raquel Hervás, Ana Oliveira Alves, Hugo Gonçalo Oliveira, Ping Xiao, Simo Linkola, Hannu Toivonen, Janez Kranjc, Nada Lavrac:
Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case. ICCC 2016: 371-379 - [c60]Eric Malmi, Pyry Takala, Hannu Toivonen, Tapani Raiko, Aristides Gionis:
DopeLearning: A Computational Approach to Rap Lyrics Generation. KDD 2016: 195-204 - [c59]Oskar Gross, Antoine Doucet, Hannu Toivonen:
Language-independent multi-document text summarization with document-specific word associations. SAC 2016: 853-860 - [c58]Ping Xiao, Hannu Toivonen:
LayerFolding: discovering creative links in word association networks. SAC 2016: 894-897 - 2015
- [j26]Joonas Paalasmaa, Hannu Toivonen, Markku Partinen:
Adaptive Heartbeat Modeling for Beat-to-Beat Heart Rate Measurement in Ballistocardiograms. IEEE J. Biomed. Health Informatics 19(6): 1945-1952 (2015) - [j25]Hannu Toivonen, Oskar Gross:
Data mining and machine learning in computational creativity. WIREs Data Mining Knowl. Discov. 5(6): 265-275 (2015) - [c57]Anna Kantosalo, Jukka M. Toivanen, Hannu Toivonen:
Interaction Evaluation for Human-Computer Co-creativity: A Case Study. ICCC 2015: 276-283 - [e9]Hannu Toivonen, Simon Colton, Michael Cook, Dan Ventura:
Proceedings of the Sixth International Conference on Computational Creativity, ICCC 2015, Park City, Utah, USA, June 29 - July 2, 2015. computationalcreativity.net 2015, ISBN 978-0-8425-2970-9 [contents] - [i1]Eric Malmi, Pyry Takala, Hannu Toivonen, Tapani Raiko, Aristides Gionis:
DopeLearning: A Computational Approach to Rap Lyrics Generation. CoRR abs/1505.04771 (2015) - 2014
- [j24]Jiuyong Li, Jixue Liu, Hannu Toivonen, Kenji Satou, Youqiang Sun, Bing-Yu Sun:
Discovering statistically non-redundant subgroups. Knowl. Based Syst. 67: 315-327 (2014) - [c56]Ilona Nawrot, Oskar Gross, Antoine Doucet, Hannu Toivonen:
Novel Query Suggestions: Initial Work Report. Web-KRM@CIKM 2014: 49-54 - [c55]Anna Kantosalo, Jukka M. Toivanen, Ping Xiao, Hannu Toivonen:
From Isolation to Involvement: Adapting Machine Creativity Software to Support Human-Computer Co-Creation. ICCC 2014: 1-7 - [c54]Oskar Gross, Jukka M. Toivanen, Sandra Lääne, Hannu Toivonen:
Arts, News, and Poetry - The Art of Framing. ICCC 2014: 336-339 - [c53]Jukka M. Toivanen, Oskar Gross, Hannu Toivonen:
The Officer Is Taller Than You, Who Race Yourself! Using Document Specific Word Associations in Poetry Generation. ICCC 2014: 355-362 - [c52]Oskar Gross, Antoine Doucet, Hannu Toivonen:
Document summarization based on word associations. SIGIR 2014: 1023-1026 - [e8]Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu:
2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-4302-9 [contents] - [e7]Zhi-Hua Zhou, Wei Wang, Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu:
2014 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2014, Shenzhen, China, December 14, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-4274-9 [contents] - 2013
- [j23]Laura Langohr, Vid Podpecan, Marko Petek, Igor Mozetic, Kristina Gruden, Nada Lavrac, Hannu Toivonen:
Contrasting Subgroup Discovery. Comput. J. 56(3): 289-303 (2013) - [j22]Jiuyong Li, Jixue Liu, Hannu Toivonen, Jianming Yong:
Effective Pruning for the Discovery of Conditional Functional Dependencies. Comput. J. 56(3): 378-392 (2013) - [j21]Oskar Gross, Antoine Doucet, Hannu Toivonen:
Named Entity Filtering Based on Concept Association Graphs. Res. Comput. Sci. 70: 33-43 (2013) - [c51]Alessandro Valitutti, Hannu Toivonen, Antoine Doucet, Jukka M. Toivanen:
"Let Everything Turn Well in Your Wife": Generation of Adult Humor Using Lexical Constraints. ACL (2) 2013: 243-248 - [c50]Jukka M. Toivanen, Hannu Toivonen, Alessandro Valitutti:
Automatical Composition of Lyrical Songs. ICCC 2013: 87-91 - [c49]Jukka M. Toivanen, Matti Järvisalo, Hannu Toivonen:
Harnessing Constraint Programming for Poetry Composition. ICCC 2013: 160-167 - 2012
- [j20]Lauri Eronen, Hannu Toivonen:
Biomine: predicting links between biological entities using network models of heterogeneous databases. BMC Bioinform. 13: 119 (2012) - [c48]Alessandro Valitutti, Hannu Toivonen, Oskar Gross, Jukka M. Toivanen:
Decomposition and Distribution of Humorous Effect in Interactive Systems. AAAI Fall Symposium: Artificial Intelligence of Humor 2012 - [c47]Maria Eleni Skarkala, Manolis Maragoudakis, Stefanos Gritzalis, Lilian Mitrou, Hannu Toivonen, Pirjo Moen:
Privacy Preservation by k-Anonymization of Weighted Social Networks. ASONAM 2012: 423-428 - [c46]Joonas Paalasmaa, Mikko Waris, Hannu Toivonen, Lasse Leppakorpi, Markku Partinen:
Unobtrusive online monitoring of sleep at home. EMBC 2012: 3784-3788 - [c45]Jukka M. Toivanen, Hannu Toivonen, Alessandro Valitutti, Oskar Gross:
Corpus-Based Generation of Content and Form in Poetry. ICCC 2012: 211-215 - [c44]Aurora Tulilaulu, Joonas Paalasmaa, Mikko Waris, Hannu Toivonen:
Sleep Musicalization: Automatic Music Composition from Sleep Measurements. IDA 2012: 392-403 - [c43]Oskar Gross, Hannu Toivonen, Jukka M. Toivanen, Alessandro Valitutti:
Lexical Creativity from Word Associations. KICSS 2012: 35-42 - [c42]Laura Langohr, Hannu Toivonen:
A model for mining relevant and non-redundant information. SAC 2012: 132-137 - [c41]Hannu Toivonen, Oskar Gross, Jukka M. Toivanen, Alessandro Valitutti:
On Creative Uses of Word Associations. SMPS 2012: 17-24 - [c40]Oskar Gross, Hannu Toivonen, Antoine Doucet:
Team Association Analysis for Named Entity Filtering. TREC 2012 - [p13]Teemu Hynönen, Sébastien Mahler, Hannu Toivonen:
Discovery of Novel Term Associations in a Document Collection. Bisociative Knowledge Discovery 2012: 91-103 - [p12]Angelika Kimmig, Esther Galbrun, Hannu Toivonen, Luc De Raedt:
Patterns and Logic for Reasoning with Networks. Bisociative Knowledge Discovery 2012: 122-143 - [p11]Hannu Toivonen:
Network Analysis: Overview. Bisociative Knowledge Discovery 2012: 144-146 - [p10]Fang Zhou, Sébastien Mahler, Hannu Toivonen:
Review of BisoNet Abstraction Techniques. Bisociative Knowledge Discovery 2012: 166-178 - [p9]Fang Zhou, Sébastien Mahler, Hannu Toivonen:
Simplification of Networks by Edge Pruning. Bisociative Knowledge Discovery 2012: 179-198 - [p8]Hannu Toivonen, Fang Zhou, Aleksi Hartikainen, Atte Hinkka:
Network Compression by Node and Edge Mergers. Bisociative Knowledge Discovery 2012: 199-217 - [p7]Laura Langohr, Hannu Toivonen:
Finding Representative Nodes in Probabilistic Graphs. Bisociative Knowledge Discovery 2012: 218-229 - [p6]Lauri Eronen, Petteri Hintsanen, Hannu Toivonen:
Biomine: A Network-Structured Resource of Biological Entities for Link Prediction. Bisociative Knowledge Discovery 2012: 364-378 - [p5]Igor Mozetic, Nada Lavrac, Vid Podpecan, Petra Kralj Novak, Helena Motaln, Marko Petek, Kristina Gruden, Hannu Toivonen, Kimmo Kulovesi:
Semantic Subgroup Discovery and Cross-Context Linking for Microarray Data Analysis. Bisociative Knowledge Discovery 2012: 379-389 - 2011
- [j19]Vid Podpecan, Nada Lavrac, Igor Mozetic, Petra Kralj Novak, Igor Trajkovski, Laura Langohr, Kimmo Kulovesi, Hannu Toivonen, Marko Petek, Helena Motaln, Kristina Gruden:
SegMine workflows for semantic microarray data analysis in Orange4WS. BMC Bioinform. 12: 416 (2011) - [c39]Hannu Toivonen, Fang Zhou, Aleksi Hartikainen, Atte Hinkka:
Compression of weighted graphs. KDD 2011: 965-973 - 2010
- [j18]Tuomas Tanner, Hannu Toivonen:
Predicting and preventing student failure - using the k-nearest neighbour method to predict student performance in an online course environment. Int. J. Learn. Technol. 5(4): 356-377 (2010) - [c38]Petteri Hintsanen, Hannu Toivonen, Petteri Sevon:
Fast Discovery of Reliable Subnetworks. ASONAM 2010: 104-111 - [c37]Igor Mozetic, Nada Lavrac, Vid Podpecan, Petra Kralj Novak, Helena Motaln, Marko Petek, Kristina Gruden, Hannu Toivonen, Kimmo Kulovesi:
Bisociative Knowledge Discovery for Microarray Data Analysis. ICCC 2010: 190-199 - [c36]Fang Zhou, Sébastien Mahler, Hannu Toivonen:
Network Simplification with Minimal Loss of Connectivity. ICDM 2010: 659-668 - [c35]Hannu Toivonen, Sébastien Mahler, Fang Zhou:
A Framework for Path-Oriented Network Simplification. IDA 2010: 220-231 - [c34]Melissa Kasari, Hannu Toivonen, Petteri Hintsanen:
Fast Discovery of Reliable k-terminal Subgraphs. PAKDD (2) 2010: 168-177 - [p4]Luc De Raedt, Angelika Kimmig, Bernd Gutmann, Kristian Kersting, Vítor Santos Costa, Hannu Toivonen:
Probabilistic Inductive Querying Using ProbLog. Inductive Databases and Constraint-Based Data Mining 2010: 229-262 - [r5]Hannu Toivonen:
Apriori Algorithm. Encyclopedia of Machine Learning 2010: 39-40 - [r4]Hannu Toivonen:
Association Rule. Encyclopedia of Machine Learning 2010: 48-49 - [r3]Hannu Toivonen:
Basket Analysis. Encyclopedia of Machine Learning 2010: 74 - [r2]Hannu Toivonen:
Frequent Itemset. Encyclopedia of Machine Learning 2010: 418 - [r1]Hannu Toivonen:
Frequent Pattern. Encyclopedia of Machine Learning 2010: 418-422
2000 – 2009
- 2008
- [j17]Petteri Hintsanen, Hannu Toivonen:
Finding reliable subgraphs from large probabilistic graphs. Data Min. Knowl. Discov. 17(1): 3-23 (2008) - [j16]Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen:
Compressing probabilistic Prolog programs. Mach. Learn. 70(2-3): 151-168 (2008) - [c33]Petteri Hintsanen, Hannu Toivonen:
Finding Reliable Subgraphs from Large Probabilistic Graphs. ECML/PKDD (1) 2008: 15 - 2007
- [j15]Niels Landwehr, Taneli Mielikäinen, Lauri Eronen, Hannu Toivonen, Heikki Mannila:
Constrained hidden Markov models for population-based haplotyping. BMC Bioinform. 8(S-2) (2007) - [c32]Angelika Kimmig, Luc De Raedt, Hannu Toivonen:
Probabilistic Explanation Based Learning. ECML 2007: 176-187 - [c31]Luc De Raedt, Angelika Kimmig, Hannu Toivonen:
ProbLog: A Probabilistic Prolog and Its Application in Link Discovery. IJCAI 2007: 2462-2467 - 2006
- [j14]Lauri Eronen, Floris Geerts, Hannu Toivonen:
HaploRec: efficient and accurate large-scale reconstruction of haplotypes. BMC Bioinform. 7: 542 (2006) - [j13]Petteri Sevon, Hannu Toivonen, Vesa Ollikainen:
TreeDT: Tree Pattern Mining for Gene Mapping. IEEE ACM Trans. Comput. Biol. Bioinform. 3(2): 174-185 (2006) - [c30]Petteri Sevon, Lauri Eronen, Petteri Hintsanen, Kimmo Kulovesi, Hannu Toivonen:
Link Discovery in Graphs Derived from Biological Databases. DILS 2006: 35-49 - [c29]Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen:
Revising Probabilistic Prolog Programs. ILP 2006: 30-33 - [c28]Juho Muhonen, Hannu Toivonen:
Closed Non-derivable Itemsets. PKDD 2006: 601-608 - 2005
- [j12]Mika Raento, Antti Oulasvirta, Renaud Petit, Hannu Toivonen:
ContextPhone: a prototyping platform for context-aware mobile applications. IEEE Pervasive Comput. 4(2): 51-59 (2005) - [c27]Bart Goethals, Juho Muhonen, Hannu Toivonen:
Mining Non-Derivable Association Rules. SDM 2005: 239-249 - [p3]Jason Tsong-Li Wang, Mohammed Javeed Zaki, Hannu Toivonen, Dennis E. Shasha:
Introduction to Data Mining in Bioinformatics. Data Mining in Bioinformatics 2005: 3-8 - [p2]Petteri Sevon, Hannu Toivonen, Paivi Onkamo:
Gene Mapping by Pattern Discovery. Data Mining in Bioinformatics 2005: 105-126 - [e6]Jason Tsong-Li Wang, Mohammed Javeed Zaki, Hannu Toivonen, Dennis E. Shasha:
Data Mining in Bioinformatics. Springer 2005, ISBN 1-85233-671-4 [contents] - 2004
- [c26]Wilhelmiina Hämäläinen, Hannu Toivonen, Vladimir Poroshin:
Mining Relaxed Graph Properties in Internet. ICWI 2004: 152-159 - [c25]Kari Laasonen, Mika Raento, Hannu Toivonen:
Adaptive On-Device Location Recognition. Pervasive 2004: 287-304 - [c24]Lauri Eronen, Floris Geerts, Hannu Toivonen:
A Markov Chain Approach to Reconstruction of Long Haplotypes. Pacific Symposium on Biocomputing 2004: 104-115 - 2003
- [j11]Hannu Toivonen, Ashwin Srinivasan, Ross D. King, Stefan Kramer, Christoph Helma:
Statistical Evaluation of the Predictive Toxicology Challenge 2000-2001. Bioinform. 19(10): 1183-1193 (2003) - [j10]Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
Data mining in bioinformatics: report on BIOKDD'03. SIGKDD Explor. 5(2): 198-199 (2003) - [j9]Dimitrios Gunopulos, Roni Khardon, Heikki Mannila, Sanjeev Saluja, Hannu Toivonen, Ram Sewak Sharm:
Discovering all most specific sentences. ACM Trans. Database Syst. 28(2): 140-174 (2003) - [c23]Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
Opening Remarks. BIOKDD 2003 - [c22]Jaana Heino, Hannu Toivonen:
Automated Detection of Epidemics from the Usage Logs of a Physicians' Reference Database. PKDD 2003: 180-191 - [e5]Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
Proceedings of the 3nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2003), August 27th, 2003, Washington, DC, USA. 2003 [contents] - 2002
- [j8]Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
BIOKDD01: Workshop on Data Mining in Bioinformatics. SIGKDD Explor. 3(2): 71-73 (2002) - [j7]Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
BIOKDD 2002: Recent Advanced in Data Minig for Bioinformatics. SIGKDD Explor. 4(2): 112-114 (2002) - [c21]Kari Vasko, Hannu Toivonen:
Estimating the number of segments in time series data using permutation tests. ICDM 2002: 466-473 - [c20]Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
Foreword. BIOKDD 2002 - [e4]Tapio Elomaa, Heikki Mannila, Hannu Toivonen:
Machine Learning: ECML 2002, 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002, Proceedings. Lecture Notes in Computer Science 2430, Springer 2002, ISBN 3-540-44036-4 [contents] - [e3]Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2002), July 23rd, 2002, Edmonton, Alberta, Canada. 2002 [contents] - [e2]Tapio Elomaa, Heikki Mannila, Hannu Toivonen:
Principles of Data Mining and Knowledge Discovery, 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002, Proceedings. Lecture Notes in Computer Science 2431, Springer 2002, ISBN 3-540-44037-2 [contents] - 2001
- [c19]Johan Himberg, Kalle Korpiaho, Heikki Mannila, Johanna Tikanmäki, Hannu Toivonen:
Time Series Segmentation for Context Recognition in Mobile Devices. ICDM 2001: 203-210 - [c18]Petteri Sevon, Hannu Toivonen, Vesa Ollikainen:
TreeDT: gene mapping by tree disequilibrium test. KDD 2001: 365-370 - [e1]Mohammed Javeed Zaki, Hannu Toivonen, Jason Tsong-Li Wang:
Proceedings of the ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2001). 2001 [contents] - 2000
- [c17]Hannu Toivonen, Paivi Onkamo, Kari Vasko, Vesa Ollikainen, Petteri Sevon, Heikki Mannila, Juha Kere:
Gene Mapping by Haplotype Pattern Mining. BIBE 2000: 99-108
1990 – 1999
- 1999
- [j6]Ykä Huhtala, Juha Kärkkäinen, Pasi Porkka, Hannu Toivonen:
TANE: An Efficient Algorithm for Discovering Functional and Approximate Dependencies. Comput. J. 42(2): 100-111 (1999) - [j5]Luc Dehaspe, Hannu Toivonen:
Discovery of Frequent DATALOG Patterns. Data Min. Knowl. Discov. 3(1): 7-36 (1999) - [j4]Mika Klemettinen, Heikki Mannila, Hannu Toivonen:
Interactive exploration of interesting findings in the Telecommunication Network Alarm Sequence Analyzer (TASA). Inf. Softw. Technol. 41(9): 557-567 (1999) - [j3]Mika Klemettinen, Heikki Mannila, Hannu Toivonen:
Rule Discovery in Telecommunication Alarm Data. J. Netw. Syst. Manag. 7(4): 395-423 (1999) - [c16]Ykä Huhtala, Juha Kärkkäinen, Hannu Toivonen:
Mining for similarities in aligned time series using wavelets. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 1999: 150-160 - 1998
- [c15]Heikki Mannila, Hannu Toivonen, Atte Korhola, Heikki Olander:
Learning, Mining, or Modeling? A Case Study from Paleocology. Discovery Science 1998: 12-24 - [c14]Ykä Huhtala, Juha Kärkkäinen, Pasi Porkka, Hannu Toivonen:
Efficient Discovery of Functional and Approximate Dependencies Using Partitions. ICDE 1998: 392-401 - [c13]Luc Dehaspe, Hannu Toivonen, Ross D. King:
Finding Frequent Substructures in Chemical Compounds. KDD 1998: 30-36 - 1997
- [j2]Heikki Mannila, Hannu Toivonen:
Levelwise Search and Borders of Theories in Knowledge Discovery. Data Min. Knowl. Discov. 1(3): 241-258 (1997) - [j1]Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo:
Discovery of Frequent Episodes in Event Sequences. Data Min. Knowl. Discov. 1(3): 259-289 (1997) - [c12]Mika Klemettinen, Heikki Mannila, Hannu Toivonen:
A Data Mining Methodology and Its Application to Semi-automatic Knowledge Acquisition. DEXA Workshop 1997: 670-677 - [c11]Dimitrios Gunopulos, Roni Khardon, Heikki Mannila, Hannu Toivonen:
Data mining, Hypergraph Transversals, and Machine Learning. PODS 1997: 209-216 - 1996
- [c10]Kimmo Hätönen, Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen:
Knowledge Discovery from Telecommunication Network Alarm Databases. ICDE 1996: 115-122 - [c9]Heikki Mannila, Hannu Toivonen:
Discovering Generalized Episodes Using Minimal Occurrences. KDD 1996: 146-151 - [c8]Heikki Mannila, Hannu Toivonen:
Multiple Uses of Frequent Sets and Condensed Representations (Extended Abstract). KDD 1996: 189-194 - [c7]Kimmo Hätönen, Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen:
TASA: Telecommunication Alarm Sequence Analyzer or how to enjoy faults in your network. NOMS 1996: 520-529 - [c6]Hannu Toivonen:
Sampling Large Databases for Association Rules. VLDB 1996: 134-145 - [p1]Rakesh Agrawal, Heikki Mannila, Ramakrishnan Srikant, Hannu Toivonen, A. Inkeri Verkamo:
Fast Discovery of Association Rules. Advances in Knowledge Discovery and Data Mining 1996: 307-328 - 1995
- [c5]Marcel Holsheimer, Martin L. Kersten, Heikki Mannila, Hannu Toivonen:
A Perspective on Databases and Data Mining. KDD 1995: 150-155 - [c4]Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo:
Discovering Frequent Episodes in Sequences. KDD 1995: 210-215 - 1994
- [c3]Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen, A. Inkeri Verkamo:
Finding Interesting Rules from Large Sets of Discovered Association Rules. CIKM 1994: 401-407 - [c2]Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo:
Efficient Algorithms for Discovering Association Rules. KDD Workshop 1994: 181-192 - [c1]Kari Rossi, Hannu Toivonen:
Q3E: Q3 Emulator Agent. NOMS 1994: 70-80
Coauthor Index
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