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Hannu Toivonen

Papers on DiSC'02


Time Series Segmentation for Context Recognition in Mobile Devices

TreeDT: gene mapping by tree disequilibrium test

Publications


Note: Links lead to the DBLP on the Web.

Hannu Toivonen

23 Mohammed Javeed Zaki , Jason Tsong-Li Wang , Hannu Toivonen: BIOKDD01: Workshop on Data Mining in Bioinformatics. SIGKDD Explorations 3 (2): 71-73 (2002)

22 Johan Himberg , Kalle Korpiaho , Heikki Mannila , Johanna Tikanmäki , Hannu Toivonen: Time Series Segmentation for Context Recognition in Mobile Devices. ICDM 2001 : 203-210

21 Mohammed Javeed Zaki , Hannu Toivonen, Jason Tsong-Li Wang : Proceedings of the ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2001). KDD 2001

20 Petteri Sevon , Hannu Toivonen, Vesa Ollikainen : TreeDT: gene mapping by tree disequilibrium test. KDD 2001 : 365-370

19 Hannu Toivonen, Paivi Onkamo , Kari Vasko , Vesa Ollikainen , Petteri Sevon , Heikki Mannila , Juha Kere : Gene Mapping by Haplotype Pattern Mining. BIBE 2000 : 99-108

18 Luc Dehaspe , Hannu Toivonen: Discovery of Frequent DATALOG Patterns. Data Mining and Knowledge Discovery 3 (1): 7-36 (1999)

17 Ykä Huhtala , Juha Kärkkäinen , Pasi Porkka , Hannu Toivonen: TANE: An Efficient Algorithm for Discovering Functional and Approximate Dependencies. The Computer Journal 42 (2): 100-111 (1999)

16 Heikki Mannila , Hannu Toivonen, Atte Korhola , Heikki Olander : Learning, Mining, or Modeling? A Case Study from Paleocology. Discovery Science 1998 : 12-24

15 Ykä Huhtala , Juha Kärkkäinen , Pasi Porkka , Hannu Toivonen: Efficient Discovery of Functional and Approximate Dependencies Using Partitions. ICDE 1998 : 392-401

14 Luc Dehaspe , Hannu Toivonen, Ross D. King : Finding Frequent Substructures in Chemical Compounds. KDD 1998 : 30-36

13 Mika Klemettinen , Heikki Mannila , Hannu Toivonen: A Data Mining Methodology and Its Application to Semi-automatic Knowledge Acquisition. DEXA Workshop 1997 : 670-677

12 Dimitrios Gunopulos , Roni Khardon , Heikki Mannila , Hannu Toivonen: Data mining, Hypergraph Transversals, and Machine Learning. PODS 1997 : 209-216

11 Heikki Mannila , Hannu Toivonen: Levelwise Search and Borders of Theories in Knowledge Discovery. Data Mining and Knowledge Discovery 1 (3): 241-258 (1997)

10 Heikki Mannila , Hannu Toivonen, A. Inkeri Verkamo : Discovery of Frequent Episodes in Event Sequences. Data Mining and Knowledge Discovery 1 (3): 259-289 (1997)

9 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

8 Kimmo Hätönen , Mika Klemettinen , Heikki Mannila , Pirjo Ronkainen , Hannu Toivonen: Knowledge Discovery from Telecommunication Network Alarm Databases. ICDE 1996 : 115-122

7 Heikki Mannila , Hannu Toivonen: Discovering Generalized Episodes Using Minimal Occurrences. KDD 1996 : 146-151

6 Heikki Mannila , Hannu Toivonen: Multiple Uses of Frequent Sets and Condensed Representations (Extended Abstract). KDD 1996 : 189-194

5 Hannu Toivonen: Sampling Large Databases for Association Rules. VLDB 1996 : 134-145

4 Marcel Holsheimer , Martin L. Kersten , Heikki Mannila , Hannu Toivonen: A Perspective on Databases and Data Mining. KDD 1995 : 150-155

3 Heikki Mannila , Hannu Toivonen, A. Inkeri Verkamo : Discovering Frequent Episodes in Sequences. KDD 1995 : 210-215

2 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

1 Heikki Mannila , Hannu Toivonen, A. Inkeri Verkamo : Efficient Algorithms for Discovering Association Rules. KDD Workshop 1994 : 181-192




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