Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Tania Roblot

dblp:58/8397 · also Tania K. Roblot, Tania Katell Roblot · DBLP profile ↗
← Back
7ranked-venue papers
6as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 6 · 6 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorTheory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
2 papers
Database theory · 54% Data mining · 23% Data models and query languages · 23%
Theoretical computer science
1 paper
Automated reasoning and model checking · 100%
Artificial intelligence
1 paper
Probabilistic and Bayesian machine learning · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database theory
integrity constraints
0.312018
Probabilistic Cardinality Constraints - Validation, Reasoning, and Semantic Summaries · VLDB J. 2018
Database theory
probabilistic databases
0.312018
Probabilistic Cardinality Constraints - Validation, Reasoning, and Semantic Summaries · VLDB J. 2018
Data models and query languages › entity-relationship model
cardinality constraints
0.312017
Urd: A Data Summarization Tool for the Acquisition of Meaningful Cardinality Constraints with Probabilistic Intervals · ICDE 2017
Data mining › data reduction
data summarization
0.312017
Urd: A Data Summarization Tool for the Acquisition of Meaningful Cardinality Constraints with Probabilistic Intervals · ICDE 2017
Automated reasoning and model checking
constraint-based reasoning
0.112018
Probabilistic Cardinality Constraints - Validation, Reasoning, and Semantic Summaries · VLDB J. 2018

Methods — techniques the papers use, named apart from their topics

probabilistic reasoning · 0.7constraint validation · 0.7data summarization · 0.6
YearPublicationVenuePosition
2018 Cardinality constraints and functional dependencies over possibilistic data
Tania Roblot, Sebastian Link
Data Knowl. Eng.1
2018 Probabilistic Cardinality Constraints - Validation, Reasoning, and Semantic Summaries
Tania Roblot, Miika Hannula, Sebastian Link
VLDB J.1
2017 Cardinality Constraints with Probabilistic Intervals
Tania Roblot, Sebastian Link
ER1
2017 Urd: A Data Summarization Tool for the Acquisition of Meaningful Cardinality Constraints with Probabilistic Intervals
abstract
With an ever-growing number of applications producing uncertain data, the probabilistic data model has gained renewed attention. Probabilistic cardinality constraints stipulate a range on the marginal probability by which cardinality constraints hold in probabilistic databases. The core challenge is in identifying the bounds that are meaningful in a given application domain. Our tool helps data and domain experts jointly tackle that challenge. The demo showcases our prototype, which computes perfect data summarizations for any set of probabilistic cardinality constraints: Armstrong databases.
Tania Roblot, Sebastian Link
ICDE1
2016 Possibilistic Cardinality Constraints and Functional Dependencies
Tania Roblot, Sebastian Link
ER1
2015 Probabilistic Cardinality Constraints
Tania Roblot, Sebastian Link
ER1
2011 Finite state complexity
Cristian S. Calude, Kai Salomaa, Tania Roblot
Theor. Comput. Sci.3