An Analysis of Reduced Error Pruning

Autor: Elomaa, T., Kaariainen, M.

Publikováno v: Journal Of Artificial Intelligence Research, Volume 15, pages 163-187, 2001

Top-down induction of decision trees has been observed to suffer from the inadequate functioning of the pruning phase. In particular, it is known that the size of the resulting tree grows linearly with the sample size, even though the accuracy of the

Externí odkaz: http://arxiv.org/abs/1106.0668

Eye Symptoms with Short-term PAP Therapy

Autor: Bachour A, Elomaa T, Uusitalo M, Maasilta P

Publikováno v: Journal of Sleep Disorders: Treatment & Care.

Objective: There are few studies on the effect of Positive Airway Pressure (PAP) therapy on eye symptoms in sleep apnea patients and the conclusions of these studies are inconsistent. We evaluated by questionnaire, possible changes in eye symptoms wi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f1c261c6547bcd4215ae2ad314b63be8
https://doi.org/10.4172/2325-9639.1000204

'Tell me more' : Finding related items from user provided feedback

Autor: Knijf, de, J., Liekens, A.M.L., Goethals, B., Elomaa, T., Hollmén, J., Mannila, H.

Publikováno v: Discovery Science (14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings), 76-90
STARTPAGE=76;ENDPAGE=90;TITLE=Discovery Science (14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings)
Discovery Science ISBN: 9783642244766
Discovery Science

The results returned by a search, datamining or database engine often contains an overload of potentially interesting information. A daunting and challenging problem for a user is to pick out the useful information. In this paper we propose an intera

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c58a7ab4e4f11fd28f1b179cd9050dc7
https://research.tue.nl/nl/publications/ce651031-71ed-4b53-a47b-6b5015373a03

Reducing splaying by taking advantage of working sets

Autor: Aho, T., Elomaa, T., Kujala, J.

Access requests to keys stored into a data structure often exhibit locality of reference in practice. Such a regularity can be modeled, e.g., by working sets. In this paper we study to what extent can the existence of working sets be taken advantage

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______4853::0b5f01fd4f14e26ecbf44bd0649e8d5c
https://trepo.tuni.fi/handle/10024/125481

Mining all non-derivable frequent itemsets

Autor: Calders, T., Goethals, B., Elomaa, T., Mannila, H., Toivonen, H.

Publikováno v: Principles of Data Mining and Knowledge Discovery ISBN: 9783540440376
PKDD
Principles of data mining and knowledge iscovery : proceedings 6th European conference, PKDD 2002, Helsinki, Finland, august 19-23, 2002, 74-85
STARTPAGE=74;ENDPAGE=85;TITLE=Principles of data mining and knowledge iscovery : proceedings 6th European conference, PKDD 2002, Helsinki, Finland, august 19-23, 2002
Proceedings of the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02)

Recent studies on frequent itemset mining algorithms resulted in significant performance improvements. However, if the minimal support threshold is set too low, or the data is highly correlated, the number of frequent itemsets itself can be prohibiti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75672e721e9fa0b3709e32f9bd7bbdd5
http://hdl.handle.net/1942/7360