Statistical Analysis and Data Mining: The ASA Data Science Journal
GPTKB entity
Statements (56)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:academic_journal
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Bernhard_Schölkopf
|
| gptkbp:abstract |
gptkb:Scopus
|
| gptkbp:affiliated_with |
gptkb:American_Statistical_Association
|
| gptkbp:aims_to |
statistical knowledge
data science research education in statistics collaboration in data science public understanding of statistics |
| gptkbp:archives |
gptkb:green
|
| gptkbp:business_model |
adheres to COPE
|
| gptkbp:collaborations |
with industry partners
with government agencies with universities with research institutions with other journals |
| gptkbp:conference |
sponsored by ASA
|
| gptkbp:content_type |
research articles
|
| gptkbp:discipline |
statistics
|
| gptkbp:editor |
gptkb:Robert_Gentleman
|
| gptkbp:first_published |
gptkb:2017
|
| gptkbp:focus |
data science
|
| gptkbp:impact |
3.5
|
| gptkbp:is_adopted_by |
varies
|
| gptkbp:is_cited_in |
gptkb:APA
|
| gptkbp:is_reviewed_by |
double-blind
|
| gptkbp:issn |
2325-6186
|
| gptkbp:language |
English
|
| gptkbp:narrative_style |
gptkb:physicist
academics transparent data scientists practitioners statisticians international experts |
| gptkbp:provides_access_to |
partially
|
| gptkbp:publisher |
gptkb:American_Statistical_Association
|
| gptkbp:publishes |
quarterly
|
| gptkbp:research_areas |
gptkb:software_framework
health sciences big data statistical methods data visualization bioinformatics data mining social sciences computational statistics |
| gptkbp:type_of |
case studies
commentaries original research review articles technical notes |
| gptkbp:user_reviews |
rigorous
|
| gptkbp:website |
https://www.tandfonline.com/journals/tsad20
|
| gptkbp:winner |
online submission
|