A Non-Parametric Bayesian Approach for Uplift Discretization and Feature Selection Article Swipe
International audience
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://hal.science/hal-03788912
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4361227132
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4361227132Canonical identifier for this work in OpenAlex
- Title
-
A Non-Parametric Bayesian Approach for Uplift Discretization and Feature SelectionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-09-19Full publication date if available
- Authors
-
Mina Rafla, Nicolas Voisine, Bruno Crémilleux, Dominique GayList of authors in order
- Landing page
-
https://hal.science/hal-03788912Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://hal.science/hal-03788912Direct OA link when available
- Concepts
-
Computer science, Feature selection, Parametric statistics, Selection (genetic algorithm), Discretization, Bayesian probability, Artificial intelligence, Feature (linguistics), Pattern recognition (psychology), Machine learning, Data mining, Statistics, Mathematics, Linguistics, Philosophy, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4361227132 |
|---|---|
| doi | |
| ids.openalex | https://openalex.org/W4361227132 |
| fwci | 0.0 |
| type | article |
| title | A Non-Parametric Bayesian Approach for Uplift Discretization and Feature Selection |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10136 |
| topics[0].field.id | https://openalex.org/fields/26 |
| topics[0].field.display_name | Mathematics |
| topics[0].score | 0.9998000264167786 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2613 |
| topics[0].subfield.display_name | Statistics and Probability |
| topics[0].display_name | Statistical Methods and Inference |
| topics[1].id | https://openalex.org/T12535 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.995199978351593 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Machine Learning and Data Classification |
| topics[2].id | https://openalex.org/T11901 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9927999973297119 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1702 |
| topics[2].subfield.display_name | Artificial Intelligence |
| topics[2].display_name | Bayesian Methods and Mixture Models |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.6577303409576416 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C148483581 |
| concepts[1].level | 2 |
| concepts[1].score | 0.626152515411377 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q446488 |
| concepts[1].display_name | Feature selection |
| concepts[2].id | https://openalex.org/C117251300 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5826267004013062 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1849855 |
| concepts[2].display_name | Parametric statistics |
| concepts[3].id | https://openalex.org/C81917197 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5493202209472656 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q628760 |
| concepts[3].display_name | Selection (genetic algorithm) |
| concepts[4].id | https://openalex.org/C73000952 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5451390743255615 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q17007827 |
| concepts[4].display_name | Discretization |
| concepts[5].id | https://openalex.org/C107673813 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5440797209739685 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q812534 |
| concepts[5].display_name | Bayesian probability |
| concepts[6].id | https://openalex.org/C154945302 |
| concepts[6].level | 1 |
| concepts[6].score | 0.5424512028694153 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[6].display_name | Artificial intelligence |
| concepts[7].id | https://openalex.org/C2776401178 |
| concepts[7].level | 2 |
| concepts[7].score | 0.46899914741516113 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q12050496 |
| concepts[7].display_name | Feature (linguistics) |
| concepts[8].id | https://openalex.org/C153180895 |
| concepts[8].level | 2 |
| concepts[8].score | 0.424969345331192 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q7148389 |
| concepts[8].display_name | Pattern recognition (psychology) |
| concepts[9].id | https://openalex.org/C119857082 |
| concepts[9].level | 1 |
| concepts[9].score | 0.3626693785190582 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[9].display_name | Machine learning |
| concepts[10].id | https://openalex.org/C124101348 |
| concepts[10].level | 1 |
| concepts[10].score | 0.3462258577346802 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[10].display_name | Data mining |
| concepts[11].id | https://openalex.org/C105795698 |
| concepts[11].level | 1 |
| concepts[11].score | 0.22860115766525269 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[11].display_name | Statistics |
| concepts[12].id | https://openalex.org/C33923547 |
| concepts[12].level | 0 |
| concepts[12].score | 0.22533905506134033 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[12].display_name | Mathematics |
| concepts[13].id | https://openalex.org/C41895202 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q8162 |
| concepts[13].display_name | Linguistics |
| concepts[14].id | https://openalex.org/C138885662 |
| concepts[14].level | 0 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[14].display_name | Philosophy |
| concepts[15].id | https://openalex.org/C134306372 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[15].display_name | Mathematical analysis |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.6577303409576416 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/feature-selection |
| keywords[1].score | 0.626152515411377 |
| keywords[1].display_name | Feature selection |
| keywords[2].id | https://openalex.org/keywords/parametric-statistics |
| keywords[2].score | 0.5826267004013062 |
| keywords[2].display_name | Parametric statistics |
| keywords[3].id | https://openalex.org/keywords/selection |
| keywords[3].score | 0.5493202209472656 |
| keywords[3].display_name | Selection (genetic algorithm) |
| keywords[4].id | https://openalex.org/keywords/discretization |
| keywords[4].score | 0.5451390743255615 |
| keywords[4].display_name | Discretization |
| keywords[5].id | https://openalex.org/keywords/bayesian-probability |
| keywords[5].score | 0.5440797209739685 |
| keywords[5].display_name | Bayesian probability |
| keywords[6].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[6].score | 0.5424512028694153 |
| keywords[6].display_name | Artificial intelligence |
| keywords[7].id | https://openalex.org/keywords/feature |
| keywords[7].score | 0.46899914741516113 |
| keywords[7].display_name | Feature (linguistics) |
| keywords[8].id | https://openalex.org/keywords/pattern-recognition |
| keywords[8].score | 0.424969345331192 |
| keywords[8].display_name | Pattern recognition (psychology) |
| keywords[9].id | https://openalex.org/keywords/machine-learning |
| keywords[9].score | 0.3626693785190582 |
| keywords[9].display_name | Machine learning |
| keywords[10].id | https://openalex.org/keywords/data-mining |
| keywords[10].score | 0.3462258577346802 |
| keywords[10].display_name | Data mining |
| keywords[11].id | https://openalex.org/keywords/statistics |
| keywords[11].score | 0.22860115766525269 |
| keywords[11].display_name | Statistics |
| keywords[12].id | https://openalex.org/keywords/mathematics |
| keywords[12].score | 0.22533905506134033 |
| keywords[12].display_name | Mathematics |
| language | en |
| locations[0].id | pmh:oai:HAL:hal-03788912v1 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306402512 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | HAL (Le Centre pour la Communication Scientifique Directe) |
| locations[0].source.host_organization | https://openalex.org/I1294671590 |
| locations[0].source.host_organization_name | Centre National de la Recherche Scientifique |
| locations[0].source.host_organization_lineage | https://openalex.org/I1294671590 |
| locations[0].license | other-oa |
| locations[0].pdf_url | |
| locations[0].version | submittedVersion |
| locations[0].raw_type | Conference papers |
| locations[0].license_id | https://openalex.org/licenses/other-oa |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2022, Grenoble, France. pp.239-254 |
| locations[0].landing_page_url | https://hal.science/hal-03788912 |
| authorships[0].author.id | https://openalex.org/A5080529573 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Mina Rafla |
| authorships[0].countries | FR |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I19370010 |
| authorships[0].affiliations[0].raw_affiliation_string | Orange Labs [Lannion] |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I4210139483 |
| authorships[0].affiliations[1].raw_affiliation_string | Equipe CODAG - Laboratoire GREYC - UMR6072 |
| authorships[0].institutions[0].id | https://openalex.org/I4210139483 |
| authorships[0].institutions[0].ror | https://ror.org/043749971 |
| authorships[0].institutions[0].type | facility |
| authorships[0].institutions[0].lineage | https://openalex.org/I1294671590, https://openalex.org/I1294671590, https://openalex.org/I194210350, https://openalex.org/I4210105918, https://openalex.org/I4210139483, https://openalex.org/I4210159245, https://openalex.org/I98702875 |
| authorships[0].institutions[0].country_code | FR |
| authorships[0].institutions[0].display_name | GREYC |
| authorships[0].institutions[1].id | https://openalex.org/I19370010 |
| authorships[0].institutions[1].ror | https://ror.org/035j0tq82 |
| authorships[0].institutions[1].type | company |
| authorships[0].institutions[1].lineage | https://openalex.org/I19370010 |
| authorships[0].institutions[1].country_code | FR |
| authorships[0].institutions[1].display_name | Orange (France) |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Rafla, Mina |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Equipe CODAG - Laboratoire GREYC - UMR6072, Orange Labs [Lannion] |
| authorships[1].author.id | https://openalex.org/A5076432287 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Nicolas Voisine |
| authorships[1].countries | FR |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I19370010 |
| authorships[1].affiliations[0].raw_affiliation_string | Orange Labs [Lannion] |
| authorships[1].institutions[0].id | https://openalex.org/I19370010 |
| authorships[1].institutions[0].ror | https://ror.org/035j0tq82 |
| authorships[1].institutions[0].type | company |
| authorships[1].institutions[0].lineage | https://openalex.org/I19370010 |
| authorships[1].institutions[0].country_code | FR |
| authorships[1].institutions[0].display_name | Orange (France) |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Voisine, Nicolas |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Orange Labs [Lannion] |
| authorships[2].author.id | https://openalex.org/A5011521692 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-8294-9049 |
| authorships[2].author.display_name | Bruno Crémilleux |
| authorships[2].countries | FR |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I4210139483 |
| authorships[2].affiliations[0].raw_affiliation_string | Equipe CODAG - Laboratoire GREYC - UMR6072 |
| authorships[2].institutions[0].id | https://openalex.org/I4210139483 |
| authorships[2].institutions[0].ror | https://ror.org/043749971 |
| authorships[2].institutions[0].type | facility |
| authorships[2].institutions[0].lineage | https://openalex.org/I1294671590, https://openalex.org/I1294671590, https://openalex.org/I194210350, https://openalex.org/I4210105918, https://openalex.org/I4210139483, https://openalex.org/I4210159245, https://openalex.org/I98702875 |
| authorships[2].institutions[0].country_code | FR |
| authorships[2].institutions[0].display_name | GREYC |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Crémilleux, Bruno |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Equipe CODAG - Laboratoire GREYC - UMR6072 |
| authorships[3].author.id | https://openalex.org/A5022119069 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-0671-4616 |
| authorships[3].author.display_name | Dominique Gay |
| authorships[3].countries | FR |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I19370010 |
| authorships[3].affiliations[0].raw_affiliation_string | Orange Labs [Lannion] |
| authorships[3].institutions[0].id | https://openalex.org/I19370010 |
| authorships[3].institutions[0].ror | https://ror.org/035j0tq82 |
| authorships[3].institutions[0].type | company |
| authorships[3].institutions[0].lineage | https://openalex.org/I19370010 |
| authorships[3].institutions[0].country_code | FR |
| authorships[3].institutions[0].display_name | Orange (France) |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Boullé, Marc |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Orange Labs [Lannion] |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://hal.science/hal-03788912 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A Non-Parametric Bayesian Approach for Uplift Discretization and Feature Selection |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T04:12:42.849631 |
| primary_topic.id | https://openalex.org/T10136 |
| primary_topic.field.id | https://openalex.org/fields/26 |
| primary_topic.field.display_name | Mathematics |
| primary_topic.score | 0.9998000264167786 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2613 |
| primary_topic.subfield.display_name | Statistics and Probability |
| primary_topic.display_name | Statistical Methods and Inference |
| related_works | https://openalex.org/W2364741597, https://openalex.org/W1492103595, https://openalex.org/W946352265, https://openalex.org/W3020787026, https://openalex.org/W2334479858, https://openalex.org/W1971388572, https://openalex.org/W2370926798, https://openalex.org/W3104199760, https://openalex.org/W4386564352, https://openalex.org/W2952668426 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | pmh:oai:HAL:hal-03788912v1 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306402512 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | HAL (Le Centre pour la Communication Scientifique Directe) |
| best_oa_location.source.host_organization | https://openalex.org/I1294671590 |
| best_oa_location.source.host_organization_name | Centre National de la Recherche Scientifique |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I1294671590 |
| best_oa_location.license | other-oa |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | Conference papers |
| best_oa_location.license_id | https://openalex.org/licenses/other-oa |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2022, Grenoble, France. pp.239-254 |
| best_oa_location.landing_page_url | https://hal.science/hal-03788912 |
| primary_location.id | pmh:oai:HAL:hal-03788912v1 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306402512 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | HAL (Le Centre pour la Communication Scientifique Directe) |
| primary_location.source.host_organization | https://openalex.org/I1294671590 |
| primary_location.source.host_organization_name | Centre National de la Recherche Scientifique |
| primary_location.source.host_organization_lineage | https://openalex.org/I1294671590 |
| primary_location.license | other-oa |
| primary_location.pdf_url | |
| primary_location.version | submittedVersion |
| primary_location.raw_type | Conference papers |
| primary_location.license_id | https://openalex.org/licenses/other-oa |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2022, Grenoble, France. pp.239-254 |
| primary_location.landing_page_url | https://hal.science/hal-03788912 |
| publication_date | 2022-09-19 |
| publication_year | 2022 |
| referenced_works_count | 0 |
| abstract_inverted_index.audience | 1 |
| abstract_inverted_index.International | 0 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/10 |
| sustainable_development_goals[0].score | 0.4000000059604645 |
| sustainable_development_goals[0].display_name | Reduced inequalities |
| citation_normalized_percentile.value | 0.18459651 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |