Volume

Dagstuhl Seminar Proceedings, Volume 8421

Publication Details

  • published at: 2009-03-24
  • Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik

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Document
DOI: 10.4230/DagSemProc.08421.1
08421 Abstracts Collection – Uncertainty Management in Information Systems

Authors: Christoph Koch, Birgitta König-Ries, Volker Markl, and Maurice van Keulen

Abstract
From October 12 to 17, 2008 the Dagstuhl Seminar 08421 '`Uncertainty Management in Information Systems '' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. The abstracts of the plenary and session talks given during the seminar as well as those of the shown demos are put together in this paper.
Cite as

Christoph Koch, Birgitta König-Ries, Volker Markl, and Maurice van Keulen. 08421 Abstracts Collection – Uncertainty Management in Information Systems. In Uncertainty Management in Information Systems. Dagstuhl Seminar Proceedings, Volume 8421, pp. 1-25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{koch_et_al:DagSemProc.08421.1,
  author =	{Koch, Christoph and K\"{o}nig-Ries, Birgitta and Markl, Volker and van Keulen, Maurice},
  title =	{{08421 Abstracts Collection – Uncertainty Management in Information Systems }},
  booktitle =	{Uncertainty Management in Information Systems},
  pages =	{1--25},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8421},
  editor =	{Christoph Koch and Birgitta K\"{o}nig-Ries and Volker Markl and Maurice van Keulen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08421.1},
  URN =		{urn:nbn:de:0030-drops-19428},
  doi =		{10.4230/DagSemProc.08421.1},
  annote =	{Keywords: Uncertainty management}
}
Document
DOI: 10.4230/DagSemProc.08421.2
08421 Executive Summary – Uncertainty Management in Information Systems

Authors: Christoph Koch, Birgitta König-Ries, Volker Markl, and Maurice van Keulen

Abstract
This executive summary provides a brief overview of the topic, the organization, and the outcome of the Dagstuhl Seminar on Uncertainty Management in Information Systems.
Cite as

Christoph Koch, Birgitta König-Ries, Volker Markl, and Maurice van Keulen. 08421 Executive Summary – Uncertainty Management in Information Systems. In Uncertainty Management in Information Systems. Dagstuhl Seminar Proceedings, Volume 8421, pp. 1-9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{koch_et_al:DagSemProc.08421.2,
  author =	{Koch, Christoph and K\"{o}nig-Ries, Birgitta and Markl, Volker and van Keulen, Maurice},
  title =	{{08421 Executive Summary – Uncertainty Management in Information Systems }},
  booktitle =	{Uncertainty Management in Information Systems},
  pages =	{1--9},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8421},
  editor =	{Christoph Koch and Birgitta K\"{o}nig-Ries and Volker Markl and Maurice van Keulen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08421.2},
  URN =		{urn:nbn:de:0030-drops-19405},
  doi =		{10.4230/DagSemProc.08421.2},
  annote =	{Keywords: }
}
Document
DOI: 10.4230/DagSemProc.08421.3
08421 Working Group: Classification, Representation and Modeling

Authors: Anish Das Sarma, Ander de Keijzer, Amol Deshpande, Peter J. Haas, Ihab F. Ilyas, Christoph Koch, Thomas Neumann, Dan Olteanu, Martin Theobald, and Vasilis Vassalos

Abstract
This report briefly summarizes the discussions carried out in the working group on classification, representation and modeling of uncertain data. The discussion was divided into two subgroups: the first subgroup studied how different representation and modeling alternatives currently proposed can fit in a bigger picture of theory and technology interaction, while the second subgroup focused on contrasting current system implementations and the reasons behind such diverse class of available prototypes. We summarize the findings of these two groups and the future steps suggested by group members.
Cite as

Anish Das Sarma, Ander de Keijzer, Amol Deshpande, Peter J. Haas, Ihab F. Ilyas, Christoph Koch, Thomas Neumann, Dan Olteanu, Martin Theobald, and Vasilis Vassalos. 08421 Working Group: Classification, Representation and Modeling. In Uncertainty Management in Information Systems. Dagstuhl Seminar Proceedings, Volume 8421, pp. 1-4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{dassarma_et_al:DagSemProc.08421.3,
  author =	{Das Sarma, Anish and de Keijzer, Ander and Deshpande, Amol and Haas, Peter J. and Ilyas, Ihab F. and Koch, Christoph and Neumann, Thomas and Olteanu, Dan and Theobald, Martin and Vassalos, Vasilis},
  title =	{{08421 Working Group: Classification, Representation and Modeling}},
  booktitle =	{Uncertainty Management in Information Systems},
  pages =	{1--4},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8421},
  editor =	{Christoph Koch and Birgitta K\"{o}nig-Ries and Volker Markl and Maurice van Keulen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08421.3},
  URN =		{urn:nbn:de:0030-drops-19410},
  doi =		{10.4230/DagSemProc.08421.3},
  annote =	{Keywords: }
}
Document
DOI: 10.4230/DagSemProc.08421.4
08421 Working Group: Explanation

Authors: Hidir Aras, Norbert Fuhr, Seung-won Hwang, Ander de Keijzer, Friederike Klan, Hans-Joachim Lenz, Tom Matthé, Heinz Schweppe, Mirco Stern, and Guy De Tré

Abstract
This working group addressed the issue of explaining the results of an uncertainty information system to a user. For that, we structured the problem along three major queries: why, what, and how.
Cite as

Hidir Aras, Norbert Fuhr, Seung-won Hwang, Ander de Keijzer, Friederike Klan, Hans-Joachim Lenz, Tom Matthé, Heinz Schweppe, Mirco Stern, and Guy De Tré. 08421 Working Group: Explanation. In Uncertainty Management in Information Systems. Dagstuhl Seminar Proceedings, Volume 8421, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{aras_et_al:DagSemProc.08421.4,
  author =	{Aras, Hidir and Fuhr, Norbert and Hwang, Seung-won and de Keijzer, Ander and Klan, Friederike and Lenz, Hans-Joachim and Matth\'{e}, Tom and Schweppe, Heinz and Stern, Mirco and De Tr\'{e}, Guy},
  title =	{{08421 Working Group: Explanation}},
  booktitle =	{Uncertainty Management in Information Systems},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8421},
  editor =	{Christoph Koch and Birgitta K\"{o}nig-Ries and Volker Markl and Maurice van Keulen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08421.4},
  URN =		{urn:nbn:de:0030-drops-19359},
  doi =		{10.4230/DagSemProc.08421.4},
  annote =	{Keywords: Probabilistic databases, explanation component; transparenca; sources of uncertainty; presenting uncertainty}
}
Document
DOI: 10.4230/DagSemProc.08421.5
08421 Working Group: Imprecision, Diversity and Uncertainty: Disentangling Threads in Uncertainty Management

Authors: Myra Spiliopoulou, Maurice van Keulen, Hans-Joachim Lenz, Jef Wijsen, Matthias Renz, Rudolf Kruse, and Mirco Stern

Abstract
We report on the results of Workgroup 1 on "Imprecision, Diversity and Uncertainty". We set the scene by elaborating on where uncertainty comes from and what the ground truth is. In real world applications, the data observed may not be as expected: they may violate constraints, or, more generally, disagree with the anticipated model of the world. This leads to two orthogonal cases: The data may be erroneous, i.e. they must be corrected. Or, the model may outdated and must be adjusted to the data. After elaborating on this fundamental distinction, we address the issues of measuring uncertainty and exploiting uncertainty in real applications. We conclude with a list of challenges that should be addressed when dealing with uncertainty.
Cite as

Myra Spiliopoulou, Maurice van Keulen, Hans-Joachim Lenz, Jef Wijsen, Matthias Renz, Rudolf Kruse, and Mirco Stern. 08421 Working Group: Imprecision, Diversity and Uncertainty: Disentangling Threads in Uncertainty Management. In Uncertainty Management in Information Systems. Dagstuhl Seminar Proceedings, Volume 8421, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{spiliopoulou_et_al:DagSemProc.08421.5,
  author =	{Spiliopoulou, Myra and van Keulen, Maurice and Lenz, Hans-Joachim and Wijsen, Jef and Renz, Matthias and Kruse, Rudolf and Stern, Mirco},
  title =	{{08421 Working Group: Imprecision, Diversity and Uncertainty: Disentangling Threads in Uncertainty Management}},
  booktitle =	{Uncertainty Management in Information Systems},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8421},
  editor =	{Christoph Koch and Birgitta K\"{o}nig-Ries and Volker Markl and Maurice van Keulen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08421.5},
  URN =		{urn:nbn:de:0030-drops-19375},
  doi =		{10.4230/DagSemProc.08421.5},
  annote =	{Keywords: Uncertainty of data, uncertainty of models, measuring uncertainty, propagating uncertainty, challenges of dealing with uncertainty}
}
Document
DOI: 10.4230/DagSemProc.08421.6
08421 Working Group: Lineage/Provenance

Authors: Anish Das Sarma, Amol Deshpande, Thomas Hubauer, Ihab F. Ilyas, Birgitta König-Ries, Matthias Renz, and Martin Theobald

Abstract
The following summary tries to capture a collection of state-of-the-art techniques and challenges for future work on lineage management in uncertain and probabilistic databases that we discussed in our working group. It was one half of a larger committee that we had initially formed, which then got split into two groups---one focusing on lineage as a means of explanation of data, and one focusing more on lineage usage in probabilistic databases (see also the "Explanation" working group report for more details on the first subgroup).
Cite as

Anish Das Sarma, Amol Deshpande, Thomas Hubauer, Ihab F. Ilyas, Birgitta König-Ries, Matthias Renz, and Martin Theobald. 08421 Working Group: Lineage/Provenance. In Uncertainty Management in Information Systems. Dagstuhl Seminar Proceedings, Volume 8421, pp. 1-5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{dassarma_et_al:DagSemProc.08421.6,
  author =	{Das Sarma, Anish and Deshpande, Amol and Hubauer, Thomas and Ilyas, Ihab F. and K\"{o}nig-Ries, Birgitta and Renz, Matthias and Theobald, Martin},
  title =	{{08421 Working Group: Lineage/Provenance}},
  booktitle =	{Uncertainty Management in Information Systems},
  pages =	{1--5},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8421},
  editor =	{Christoph Koch and Birgitta K\"{o}nig-Ries and Volker Markl and Maurice van Keulen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08421.6},
  URN =		{urn:nbn:de:0030-drops-19318},
  doi =		{10.4230/DagSemProc.08421.6},
  annote =	{Keywords: Lineage and provenance, probabilistic databases, challenges}
}
Document
DOI: 10.4230/DagSemProc.08421.7
08421 Working Group: Report of the Probabilistic Databases Benchmarking

Authors: Christoph Koch, Peter J. Haas, H.-J. Lenz, Dan Olteanu, Christopher Re, Maurice van Keulen, and Jeff Z. Pan

Abstract
The results of the probabilistic database benchmark working group.
Cite as

Christoph Koch, Peter J. Haas, H.-J. Lenz, Dan Olteanu, Christopher Re, Maurice van Keulen, and Jeff Z. Pan. 08421 Working Group: Report of the Probabilistic Databases Benchmarking. In Uncertainty Management in Information Systems. Dagstuhl Seminar Proceedings, Volume 8421, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{koch_et_al:DagSemProc.08421.7,
  author =	{Koch, Christoph and Haas, Peter J. and Lenz, H.-J. and Olteanu, Dan and Re, Christopher and van Keulen, Maurice and Pan, Jeff Z.},
  title =	{{08421 Working Group: Report of the Probabilistic Databases Benchmarking}},
  booktitle =	{Uncertainty Management in Information Systems},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8421},
  editor =	{Christoph Koch and Birgitta K\"{o}nig-Ries and Volker Markl and Maurice van Keulen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08421.7},
  URN =		{urn:nbn:de:0030-drops-19367},
  doi =		{10.4230/DagSemProc.08421.7},
  annote =	{Keywords: Probabilistic databases, benchmark}
}
Document
DOI: 10.4230/DagSemProc.08421.8
08421 Working Group: Uncertainty and Trust

Authors: Hidir Aras, Clemens Beckstein, Sonja Buchegger, Peter Dittrich, Thomas Hubauer, Friederike Klan, Birgitta König-Ries, and Wolfson. Ouri

Abstract
This report summarizes the findings of a working group on "Uncertainty and Trust" which met during Dagstuhl Seminar 08421 "Uncertainty Management in Information Systems". All participants of the working group are co-authors of this report. The aim of the working group was to analyse the relationship between trust and uncertainty in distributed reputation systems. We started by identifying sources and types of uncertainty in this context and investigated their relation to trust. After that we compiled a list of desirable properties of trust representations and finally determined open research challenges in the area.
Cite as

Hidir Aras, Clemens Beckstein, Sonja Buchegger, Peter Dittrich, Thomas Hubauer, Friederike Klan, Birgitta König-Ries, and Wolfson. Ouri. 08421 Working Group: Uncertainty and Trust. In Uncertainty Management in Information Systems. Dagstuhl Seminar Proceedings, Volume 8421, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{aras_et_al:DagSemProc.08421.8,
  author =	{Aras, Hidir and Beckstein, Clemens and Buchegger, Sonja and Dittrich, Peter and Hubauer, Thomas and Klan, Friederike and K\"{o}nig-Ries, Birgitta and Wolfson. Ouri},
  title =	{{08421 Working Group: Uncertainty and Trust}},
  booktitle =	{Uncertainty Management in Information Systems},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8421},
  editor =	{Christoph Koch and Birgitta K\"{o}nig-Ries and Volker Markl and Maurice van Keulen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08421.8},
  URN =		{urn:nbn:de:0030-drops-19387},
  doi =		{10.4230/DagSemProc.08421.8},
  annote =	{Keywords: Trust, reputation, uncertainty, decentral system}
}
Document
DOI: 10.4230/DagSemProc.08421.9
A Uncertainty Perspective on Qualitative Preference

Authors: Seung-won Hwang and Mu-Woong Lee

Abstract
Collaborative filtering has been successfully applied for predicting a person's preference on an item, by aggregating community preference on the item. Typically, collaborative filtering systems are based on based on quantitative preference modeling, which requires users to express their preferences in absolute numerical ratings. However, quantitative user ratings are known to be biased and inconsistent and also significantly more burdensome to the user than the alternative qualitative preference modeling, requiring only to specify relative preferences between the item pair. More specifically, we identify three main components of collaborative filtering-- preference representation, aggregation, and similarity computation, and view each component from a qualitative perspective. From this perspective, we build a framework, which collects only qualitative feedbacks from users. Our rating-oblivious framework was empirically validated to have comparable prediction accuracies to an (impractical) upper bound accuracy obtained by collaborative filtering system using ratings.
Cite as

Seung-won Hwang and Mu-Woong Lee. A Uncertainty Perspective on Qualitative Preference. In Uncertainty Management in Information Systems. Dagstuhl Seminar Proceedings, Volume 8421, pp. 1-9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{hwang_et_al:DagSemProc.08421.9,
  author =	{Hwang, Seung-won and Lee, Mu-Woong},
  title =	{{A Uncertainty Perspective on Qualitative Preference}},
  booktitle =	{Uncertainty Management in Information Systems},
  pages =	{1--9},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8421},
  editor =	{Christoph Koch and Birgitta K\"{o}nig-Ries and Volker Markl and Maurice van Keulen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08421.9},
  URN =		{urn:nbn:de:0030-drops-19323},
  doi =		{10.4230/DagSemProc.08421.9},
  annote =	{Keywords: Collaborative filtering, qualitative preference, uncertainty}
}
Document
DOI: 10.4230/DagSemProc.08421.10
Outlier detection and ranking based on subspace clustering

Authors: Thomas Seidl, Emmanuel Müller, Ira Assent, and Uwe Steinhausen

Abstract
Detecting outliers is an important task for many applications including fraud detection or consistency validation in real world data. Particularly in the presence of uncertain data or imprecise data, similar objects regularly deviate in their attribute values. The notion of outliers has thus to be defined carefully. When considering outlier detection as a task which is complementary to clustering, binary decisions whether an object is regarded to be an outlier or not seem to be near at hand. For high-dimensional data, however, objects may belong to different clusters in different subspaces. More fine-grained concepts to define outliers are therefore demanded. By our new OutRank approach, we address outlier detection in heterogeneous high dimensional data and propose a novel scoring function that provides a consistent model for ranking outliers in the presence of different attribute types. Preliminary experiments demonstrate the potential for successful detection and reasonable ranking of outliers in high dimensional data sets.
Cite as

Thomas Seidl, Emmanuel Müller, Ira Assent, and Uwe Steinhausen. Outlier detection and ranking based on subspace clustering. In Uncertainty Management in Information Systems. Dagstuhl Seminar Proceedings, Volume 8421, pp. 1-4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{seidl_et_al:DagSemProc.08421.10,
  author =	{Seidl, Thomas and M\"{u}ller, Emmanuel and Assent, Ira and Steinhausen, Uwe},
  title =	{{Outlier detection and ranking based on subspace clustering}},
  booktitle =	{Uncertainty Management in Information Systems},
  pages =	{1--4},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8421},
  editor =	{Christoph Koch and Birgitta K\"{o}nig-Ries and Volker Markl and Maurice van Keulen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08421.10},
  URN =		{urn:nbn:de:0030-drops-19344},
  doi =		{10.4230/DagSemProc.08421.10},
  annote =	{Keywords: Outlier detection, outlier ranking, subspace clustering, data mining}
}
Document
DOI: 10.4230/DagSemProc.08421.11
Recommendation: A Less Explored Killer-App of Uncertainty?

Authors: Seung-won Hwang and Jong-won Roh

Abstract
Due to the unprecedented amount of information available, it is becoming more and more important to provide personalized recommendations on data, based on past user feedbacks. However, available user feedbacks or ratings are extremely sparse, which motivates the needs for rating prediction. The most widely adopted solution has been collaborative filtering, which (1) identifies "neighboring" users with similar tastes and (2) aggregates their ratings to predict the ratings of the given user. However, while each of such aggregation involves varying levels of uncertainty, e.g., depending on the distribution of ratings aggregated, which has not been systematically considered in recommendation, though recent study suggests such consideration can boost prediction accuracy. To consider uncertainty in rating prediction, this paper reformulates the collaborative filtering problem as aggregating community ratings into multiple predicted ratings with varying levels of certainty, based on which we identify top-k results with both high confidence and rating. We empirically study the efficiency and accuracy of our proposed framework, over a classical collaborative filtering system.
Cite as

Seung-won Hwang and Jong-won Roh. Recommendation: A Less Explored Killer-App of Uncertainty?. In Uncertainty Management in Information Systems. Dagstuhl Seminar Proceedings, Volume 8421, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{hwang_et_al:DagSemProc.08421.11,
  author =	{Hwang, Seung-won and Roh, Jong-won},
  title =	{{Recommendation: A Less Explored Killer-App of Uncertainty?}},
  booktitle =	{Uncertainty Management in Information Systems},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8421},
  editor =	{Christoph Koch and Birgitta K\"{o}nig-Ries and Volker Markl and Maurice van Keulen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08421.11},
  URN =		{urn:nbn:de:0030-drops-19336},
  doi =		{10.4230/DagSemProc.08421.11},
  annote =	{Keywords: Recommendation, uncertainty}
}
Document
DOI: 10.4230/DagSemProc.08421.12
Spreadsheet Computation with imprecise and uncertain Data

Authors: Hans-Joachim Lenz

Abstract
We consider universal relations as flat tables having numeric data types which can be simply viewed as spreadsheets. For more details please see pdf-file
Cite as

Hans-Joachim Lenz. Spreadsheet Computation with imprecise and uncertain Data. In Uncertainty Management in Information Systems. Dagstuhl Seminar Proceedings, Volume 8421, p. 1, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{lenz:DagSemProc.08421.12,
  author =	{Lenz, Hans-Joachim},
  title =	{{Spreadsheet Computation with imprecise and uncertain Data}},
  booktitle =	{Uncertainty Management in Information Systems},
  pages =	{1--1},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8421},
  editor =	{Christoph Koch and Birgitta K\"{o}nig-Ries and Volker Markl and Maurice van Keulen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08421.12},
  URN =		{urn:nbn:de:0030-drops-19392},
  doi =		{10.4230/DagSemProc.08421.12},
  annote =	{Keywords: }
}

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  • Markl, Volker
  • Matthé, Tom
  • Müller, Emmanuel
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  • Neumann, Thomas
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  • Olteanu, Dan
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  • Re, Christopher
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  • S
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  • Theobald, Martin
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  • van Keulen, Maurice
  • Vassalos, Vasilis
  • W
  • Wijsen, Jef
  • Wolfson. Ouri

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