| 2020 | CIKM | Semi-supervised Consensus Clustering Based on Frequent Closed Itemsets. | Tianshu Yang, Nicolas Pasquier, Antoine Hom, Laurent Doll, Frdric Precioso |
| 2020 | DATA | Ensemble Clustering based Semi-supervised Learning for Revenue Accounting Workflow Management. | Tianshu Yang, Nicolas Pasquier, Frdric Precioso |
| 2016 | ICAISC | Frequent Closed Patterns Based Multiple Consensus Clustering. | Atheer Al-Najdi, Nicolas Pasquier, Frdric Precioso |
| 2016 | SEKE | Using Frequent Closed Pattern Mining to Solve a Consensus Clustering Problem. | Atheer Al-Najdi, Nicolas Pasquier, Frdric Precioso |
| 2014 | IDA | The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction. | Somsack Inthasone, Nicolas Pasquier, Andrea G. B. Tettamanzi, Clia da Costa Pereira |
| 2006 | DIS | Interpreting Microarray Experiments Via Co-expressed Gene Groups Analysis (CGGA). | Ricardo Martnez, Nicolas Pasquier, Claude Pasquier, Lucero Lopez-Perez |
| 2001 | KI | Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis. | Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal |
| 2000 | ICDE | Mining Bases for Association Rules Using Closed Sets. | Rafik Taouil, Nicolas Pasquier, Yves Bastide, Lotfi Lakhal |
| 1999 | ICDT | Discovering Frequent Closed Itemsets for Association Rules. | Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal |