Mohamed Anis Bach Tobji

Orcid: 0000-0001-8268-8870

Affiliations:
  • University of Manouba, Tunesia


According to our database1, Mohamed Anis Bach Tobji authored at least 36 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2022
WPEviRC: A Multi-rules-based Classifier for Evidential Databases Without Class Label Ambiguities.
Int. J. Artif. Intell. Tools, 2022

2021
ECFAR: A Rule-Based Collaborative Filtering System Dealing with Evidential Data.
Proceedings of the Intelligent Systems Design and Applications, 2021

Topic Modeling of Marketing Scientific Papers: An Experimental Survey.
Proceedings of the Digital Economy. Emerging Technologies and Business Innovation, 2021

2020
On mining frequent chronicles for machine failure prediction.
J. Intell. Manuf., 2020

Evidence Theory Based Combination of Frequent Chronicles for Failure Prediction.
Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020

Rule-Based Classification for Evidential Data.
Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020

Associative Classifier for Evidential Data.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Holding ICDEc 2020 Fully Online - Driving Principles and Key Decisions.
Proceedings of the Digital Economy. Emerging Technologies and Business Innovation, 2020

2019
On indexing evidential data.
Int. J. Approx. Reason., 2019

2018
Modeling evidential databases as possible worlds.
Int. J. Intell. Syst., 2018

Skyline queries over possibilistic RDF data.
Int. J. Approx. Reason., 2018

Evidential Top-k Queries Evaluation: Algorithms and Experiments.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

A General Framework for Querying Possibilistic RDF Data.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Frequent Chronicle Mining: Application on Predictive Maintenance.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

An Ensemble of Deep Auto-Encoders for Healthcare Monitoring.
Proceedings of the Hybrid Intelligent Systems, 2018

2017
Incremental Maintenance Of Association Rules Under Support Threshold Change.
CoRR, 2017

Comparative Study Of Data Mining Query Languages.
CoRR, 2017

Selecting skyline stars over uncertain databases: Semantics and refining methods in the evidence theory setting.
Appl. Soft Comput., 2017

Skyline Computation and Maintenance over Imperfect Databases: A Marginal-Points-Based Approach.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

On Top-K Queries Over Evidential Data.
Proceedings of the ICEIS 2017, 2017

Statistical Methods for Use in Analysis of Trust-Skyline Sets.
Proceedings of the Enterprise Information Systems - 19th International Conference, 2017

Skyline Modeling and Computing over Trust RDF Data.
Proceedings of the ICEIS 2017, 2017

Skyline Operator over Tripadvisor Reviews Within the Belief Functions Framework.
Proceedings of the Digital Economy. Emerging Technologies and Business Innovation, 2017

First Steps Towards an Electronic Meta-journal Platform Based on Crowdsourcing.
Proceedings of the Digital Economy. Emerging Technologies and Business Innovation, 2017

2016
Efficient Skyline Maintenance over Frequently Updated Evidential Databases.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Efficient Distributed Skyline over Imperfect Data Modeled by the Evidence Theory.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

The CEVEP medical application for innovative management of central venous port (CVP): Technical issues and research challenges.
Proceedings of the International Conference on Digital Economy, 2016

Object-relational implementation of evidential databases.
Proceedings of the International Conference on Digital Economy, 2016

Imperfect top-k skyline query with confidence level.
Proceedings of the 13th IEEE/ACS International Conference of Computer Systems and Applications, 2016

2015
A New Formalism for Evidential Databases.
Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

Requêtes Skyline en présence des données évidentielles.
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

2014
Computing Skyline from Evidential Data.
Proceedings of the Scalable Uncertainty Management - 8th International Conference, 2014

2011
Extraction des itemsets fréquents à partir de données évidentielles : application à une base de données éducationnelles.
Proceedings of the Fouille de données complexes. Complexité liée aux données multiples, 2011

2010
Maintaining Evidential Frequent Itemsets in Case of Data Deletion.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, 2010

2009
Incremental Maintenance of Frequent Itemsets in Evidential Databases.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008
Frequent Itemset Mining from Databases Including One Evidential Attribute.
Proceedings of the Scalable Uncertainty Management, Second International Conference, 2008


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