T. Pohja, S. Launiainen, P. Hari, H. Mannila, M. Kulmala
Abstract. Atmospheric aerosol particle formation is frequently observed throughout the atmosphere, but despite various attempts of explanation, the processes behind it remain unclear. In this study...
Autumn warming and carbon balance of a boreal Scots pine forest in Southern Finland (2009)
T. Vesala, S. Launiainen, P. Kolari, J. Pumpanen, S. Sevanto, P. Hari, ...
We analyzed the dynamics of carbon balance components: gross primary production (GPP) and total ecosystem respiration (TER), of a boreal Scots pine forest in Southern Finland. Our aim was to study...
AN MDL METHOD FOR FINDING HAPLOTYPE BLOCKS AND FOR ESTIMATING THE STRENGTH OF HAPLOTYPE (2008)
We describe a new method for finding haplotype blocks based on the use of the minimum description length principle. We give a rigorous definition of the quality of a segmentation of a genomic region...
A Perspective on Databases and Data Mining (2007)
Data Mining, M. Holsheimer, M. Kersten, H. Mannila, H. Toivonen, Issn -x, ...
and their applications. SMC is sponsored by the Netherlands Organization for Scientific Research (NWO). CWI is a member of
A look at aerosol formation using data mining techniques (2005)
S. Hyvönen, H. Junninen, L. Laakso, M. Dal Maso, T. Grönholm, B. Bonn, ...
Atmospheric aerosol particle formation is frequently observed throughout the atmosphere, but despite various attempts of explanation, the processes behind it remain unclear. In this study data mining...
A look at aerosol formation using data mining techniques (2005)
Hyvönen, S., Junninen, H., Laakso, L., Dal Maso, M., Grönholm, T., Bonn, B., ...
Atmospheric aerosol particle formation is frequently observed throughout the atmosphere, but despite various attempts of explanation, the processes behind it remain unclear. In this study data mining...
A look at aerosol formation using data mining techniques (2005)
Hyvönen, S., Junninen, H., Laakso, L., Dal Maso, M., Grönholm, T., Bonn, B., ...
Atmospheric aerosol particle formation is frequently observed throughout the atmosphere, but despite various attempts of explanation, the processes behind it remain unclear. In this study data mining...
A look at aerosol formation using data mining techniques (2005)
Hyvönen, S., Junninen, H., Laakso, L., Dal Maso, M., Grönholm, T., Bonn, B., ...
Atmospheric aerosol particle formation is frequently observed throughout the atmosphere, but despite various attempts of explanation, the processes behind it remain unclear. In this study data mining...
A look at aerosol formation using data mining techniques (2005)
Hyvönen, S., Junninen, H., Laakso, L., Dal Maso, M., Grönholm, T., Bonn, B., ...
Atmospheric aerosol particle formation is frequently observed throughout the atmosphere, but despite various attempts of explanation, the processes behind it remain unclear. In this study data mining...
Atmospheric Chemistry and Physics Discussions (2005)
S. Hyvönen, H. Junninen, L. Laakso, M. Dal Maso, T. Grönholm, B. Bonn, ...
www.atmos-chem-phys.org/acpd/5/7577/
Beyond independence: Probabilistic models for query approximation on binary transaction data (2003)
Pavlov, D, Mannila, H, Smyth, Paul; U0050900
We investigate the problem of generating fast approximate answers to queries posed to large sparse binary data sets. We focus in particular on probabilistic model-based approaches to this problem and...
A Kernel Approach for Learning from almost Orthogonal Patterns (2002)
Schölkopf, B., Weston, J., Eskin, E., Leslie, C., Noble, W.S., Elomaa, T., ...
M. Klemettinen, H. Mannila, H. Toivonen
In this paper we describe the final version of a knowledge discovery system, Telecommunication Network Alarm Sequence Analyzer (TASA), for telecommunication networks alarm data analysis. The system...
Modeling KDD Processes within the Inductive Database Framework (1998)
Jean-François Boulicaut, Mika Klemettinen, H. Mannila, Heikki Mannila
. One of the most challenging problems in data manipulation in the future is to be able to efficiently handle very large databases but also multiple induced properties or generalizations in that...
Knowledge Discovery from Telecommunication Network Alarm Databases (1996)
K. Hätönen, M. Klemettinen, H. Mannila, P. Ronkainen, H. Toivonen
A telecommunication network produces daily large amounts of alarm data. The data contains hidden valuable knowledge about the behavior of the network. This knowledge can be used in filtering...
Knowledge Discovery from Telecommunication Network Alarm Databases (1996)
At Onen, K. Hatonen, M. Klemettinen, H. Mannila, P. Ronkainen, H. Toivonen
A telecommunication network produces daily large amounts of alarm data. The data contains hidden valuable knowledge about the behavior of the network. This knowledge can be used in filtering...
BASS: Bayesian Analyzer of Event Sequences (1996)
E. Arjas, H. Mannila, M. Salmenkivi, R. Suramo, H. Toivonen
. We describe the BASS system, a Bayesian analyzer of event sequences. BASS uses Markov chain Monte Carlo methods, especially Metropolis-Hastings algorithm, for exploring posterior distributions. The...
Pruning and Grouping Discovered Association Rules (1995)
H. Toivonen, M. Klemettinen, P. Ronkainen, K. Hätönen, H. Mannila
Association rules are statements of the form "for 90 % of the rows of the relation, if the row has value 1 in the columns in set X, then it has 1 also in the columns in set Y ". Efficient...
Mannila, H., Koivisto, M., Perola, M., Varilo, T., Hennah, W., Ekelund, J., ...
We describe a new probabilistic method for finding haplotype blocks that is based on the use of the minimum description length (MDL) principle. We give a rigorous definition of the quality of a...