A Declarative Framework for Mining Top-k High Utility Itemsets. | 0 | 0.34 | 2021 |
Mining Closed High Utility Itemsets based on Propositional Satisfiability | 1 | 0.35 | 2021 |
Rule-Based Classification for Evidential Data. | 0 | 0.34 | 2020 |
Associative Classifier For Evidential Data | 0 | 0.34 | 2020 |
A SAT-Based Approach for Mining High Utility Itemsets from Transaction Databases. | 0 | 0.34 | 2020 |
A Belief Approach For Detecting Spammed Links In Social Networks | 0 | 0.34 | 2019 |
Evidential Top-k Queries Evaluation: Algorithms and Experiments. | 0 | 0.34 | 2018 |
Skyline queries over possibilistic RDF data. | 3 | 0.37 | 2018 |
A General Framework for Querying Possibilistic RDF Data | 0 | 0.34 | 2018 |
An evidential method for correcting noisy information in social network. | 0 | 0.34 | 2018 |
Modeling Evidential Databases As Possible Worlds | 1 | 0.35 | 2018 |
Statistical Methods for Use in Analysis of Trust-Skyline Sets. | 0 | 0.34 | 2017 |
Skyline Modeling and Computing over Trust RDF Data. | 1 | 0.36 | 2017 |
Belief Temporal Analysis of Expert Users: Case Study Stack Overflow. | 0 | 0.34 | 2017 |
Fuzz-Time: An Intelligent System For Managing Fuzzy Temporal Information | 1 | 0.37 | 2017 |
On Top-K Queries Over Evidential Data. | 1 | 0.37 | 2017 |
First Steps Towards an Electronic Meta-journal Platform Based on Crowdsourcing. | 0 | 0.34 | 2017 |
Skyline Operator over Tripadvisor Reviews Within the Belief Functions Framework. | 1 | 0.35 | 2017 |
Belief Measure of Expertise for Experts Detection in Question Answering Communities: case study Stack Overflow. | 0 | 0.34 | 2017 |
Two Evidential Data Based Models for Influence Maximization in Twitter. | 8 | 0.54 | 2017 |
Incremental Method for Learning Parameters in Evidential Networks. | 0 | 0.34 | 2017 |
Selecting skyline stars over uncertain databases: Semantics and refining methods in the evidence theory setting. | 4 | 0.39 | 2017 |
Dynamic Time Warping Distance for Message Propagation Classification in Twitter. | 2 | 0.38 | 2017 |
A SAT-Based Approach for Enumerating Interesting Patterns from Uncertain Data | 0 | 0.34 | 2016 |
Efficient Distributed Skyline over Imperfect Data Modeled by the Evidence Theory | 0 | 0.34 | 2016 |
Modeling temporal relations between Fuzzy TIME intervals: A disjunctive view | 0 | 0.34 | 2016 |
An Evidential Approach For Managing Temporal Relations Uncertainty | 0 | 0.34 | 2016 |
Efficient Skyline Maintenance over Frequently Updated Evidential Databases. | 5 | 0.40 | 2016 |
Imperfect top-k skyline query with confidence level | 0 | 0.34 | 2016 |
A Comparative Study of SAT-Based Itemsets Mining. | 0 | 0.34 | 2016 |
Consid{é}rant la d{é}pendance dans la th{é}orie des fonctions de croyance. | 0 | 0.34 | 2015 |
Trolls Identification within an Uncertain Framework | 4 | 0.41 | 2015 |
Requêtes Skyline en présence des données évidentielles. | 0 | 0.34 | 2015 |
A Distance-Based Decision in the Credal Level. | 1 | 0.37 | 2015 |
Uncertainty in Ontology Matching: A Decision Rule-Based Approach. | 2 | 0.40 | 2015 |
Classification of Message Spreading in a Heterogeneous Social Network. | 0 | 0.34 | 2015 |
Propagation of Belief Functions in Singly-Connected Hybrid Directed Evidential Networks. | 0 | 0.34 | 2015 |
A New Formalism for Evidential Databases. | 3 | 0.44 | 2015 |
Learning Structure in Evidential Networks from Evidential DataBases. | 1 | 0.35 | 2015 |
Belief Approach for Social Networks. | 0 | 0.34 | 2015 |
Combining partially independent belief functions | 9 | 0.56 | 2015 |
Computing Skyline from Evidential Data. | 1 | 0.35 | 2014 |
Considérant la dépendance dans la théorie des fonctions de croyance. | 0 | 0.34 | 2014 |
Reasoning In Singly-Connected Directed Evidential Networks With Conditional Beliefs | 4 | 0.49 | 2014 |
Parameter estimation in directed evidential networks from evidential databases. | 0 | 0.34 | 2014 |
Learning Parameters in Directed Evidential Networks with Conditional Belief Functions. | 2 | 0.41 | 2014 |
An Intelligent Flexible Querying Approach for Temporal Databases. | 3 | 0.39 | 2014 |
Approximate Inference in Directed Evidential Networks with Conditional Belief Functions Using the Monte Carlo Algorithm. | 1 | 0.37 | 2014 |
New propagation algorithm in dynamic directed evidential networks with conditional belief functions | 0 | 0.34 | 2013 |
On the Use of a Mixed Binary Join Tree for Exact Inference in Dynamic Directed Evidential Networks with Conditional Belief Functions. | 0 | 0.34 | 2013 |