Uncertain Groupings: Probabilistic combination of grouping data

Brend Wanders; Maurice van Keulen; Paul van der Vet

doi:10.1007/978-3-319-22849-5_17

Uncertain Groupings: Probabilistic combination of grouping data

Brend Wanders, Maurice van Keulen, Paul van der Vet

Databases (Former)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

189 Downloads (Pure)

Abstract

Probabilistic approaches for data integration have much potential. We view data integration as an iterative process where data understanding gradually increases as the data scientist continuously refines his view on how to deal with learned intricacies like data conflicts. This paper presents a probabilistic approach for integrating data on groupings. We focus on a bio-informatics use case concerning homology. A bio-informatician has a large number of homology data sources to choose from. To enable querying combined knowledge contained in these sources, they need to be integrated. We validate our approach by integrating three real-world biological databases on homology in three iterations.

Original language	English
Title of host publication	Proceedings of the 26th International Conference on Database and Expert Systems Applications, DEXA 2015
Place of Publication	Switzerland
Publisher	Springer
Pages	236-250
Number of pages	15
ISBN (Print)	978-3-319-22848-8
DOIs	https://doi.org/10.1007/978-3-319-22849-5_17
Publication status	Published - 1 Sept 2015
Event	26th International Conference on Database and Expert Systems Applications, DEXA 2015 - Valencia, Spain Duration: 1 Sept 2015 → 4 Sept 2015 Conference number: 26 http://www.dexa.org/previous/dexa2015/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer International Publishing
Volume	9261
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	26th International Conference on Database and Expert Systems Applications, DEXA 2015
Abbreviated title	DEXA
Country/Territory	Spain
City	Valencia
Period	1/09/15 → 4/09/15
Internet address	http://www.dexa.org/previous/dexa2015/

Keywords

Grouping
Probabilistic databases

Access to Document

10.1007/978-3-319-22849-5_17

ArticleAccepted author version, 507 KB

Cite this

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title = "Uncertain Groupings: Probabilistic combination of grouping data",

abstract = "Probabilistic approaches for data integration have much potential. We view data integration as an iterative process where data understanding gradually increases as the data scientist continuously refines his view on how to deal with learned intricacies like data conflicts. This paper presents a probabilistic approach for integrating data on groupings. We focus on a bio-informatics use case concerning homology. A bio-informatician has a large number of homology data sources to choose from. To enable querying combined knowledge contained in these sources, they need to be integrated. We validate our approach by integrating three real-world biological databases on homology in three iterations.",

keywords = "Grouping, Probabilistic databases",

author = "Brend Wanders and {van Keulen}, Maurice and {van der Vet}, Paul",

year = "2015",

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doi = "10.1007/978-3-319-22849-5_17",

language = "English",

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series = "Lecture Notes in Computer Science",

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booktitle = "Proceedings of the 26th International Conference on Database and Expert Systems Applications, DEXA 2015",

note = "26th International Conference on Database and Expert Systems Applications, DEXA 2015, DEXA ; Conference date: 01-09-2015 Through 04-09-2015",

url = "http://www.dexa.org/previous/dexa2015/",

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Wanders, B, van Keulen, M & van der Vet, P 2015, Uncertain Groupings: Probabilistic combination of grouping data. in Proceedings of the 26th International Conference on Database and Expert Systems Applications, DEXA 2015. Lecture Notes in Computer Science, vol. 9261, Springer, Switzerland, pp. 236-250, 26th International Conference on Database and Expert Systems Applications, DEXA 2015, Valencia, Spain, 1/09/15. https://doi.org/10.1007/978-3-319-22849-5_17

Uncertain Groupings: Probabilistic combination of grouping data. / Wanders, Brend; van Keulen, Maurice; van der Vet, Paul.
Proceedings of the 26th International Conference on Database and Expert Systems Applications, DEXA 2015. Switzerland: Springer, 2015. p. 236-250 (Lecture Notes in Computer Science; Vol. 9261).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - van der Vet, Paul

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N2 - Probabilistic approaches for data integration have much potential. We view data integration as an iterative process where data understanding gradually increases as the data scientist continuously refines his view on how to deal with learned intricacies like data conflicts. This paper presents a probabilistic approach for integrating data on groupings. We focus on a bio-informatics use case concerning homology. A bio-informatician has a large number of homology data sources to choose from. To enable querying combined knowledge contained in these sources, they need to be integrated. We validate our approach by integrating three real-world biological databases on homology in three iterations.

AB - Probabilistic approaches for data integration have much potential. We view data integration as an iterative process where data understanding gradually increases as the data scientist continuously refines his view on how to deal with learned intricacies like data conflicts. This paper presents a probabilistic approach for integrating data on groupings. We focus on a bio-informatics use case concerning homology. A bio-informatician has a large number of homology data sources to choose from. To enable querying combined knowledge contained in these sources, they need to be integrated. We validate our approach by integrating three real-world biological databases on homology in three iterations.

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KW - Probabilistic databases

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DO - 10.1007/978-3-319-22849-5_17

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PB - Springer

CY - Switzerland

Y2 - 1 September 2015 through 4 September 2015

ER -

Uncertain Groupings: Probabilistic combination of grouping data

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