ACM Transactions on Data Science
E61729
ACM Transactions on Data Science is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data science, including theory, methods, and applications.
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf |
academic journal
ⓘ
peer-reviewed journal ⓘ scientific journal ⓘ |
| academicField |
artificial intelligence
ⓘ
data science ⓘ information systems ⓘ |
| associatedOrganization | Association for Computing Machinery ⓘ |
| contentType |
applied research papers
ⓘ
research articles ⓘ survey papers ⓘ theoretical papers ⓘ |
| countryOfPublication |
United States of America
ⓘ
surface form:
United States
|
| discipline |
computer science
ⓘ
data science ⓘ |
| editorialPolicy | peer review ⓘ |
| focusesOn |
big data analytics
ⓘ
data management for data science ⓘ data mining ⓘ data science applications ⓘ data science methods ⓘ data science theory ⓘ data-driven applications ⓘ machine learning ⓘ statistical learning ⓘ |
| format | online journal ⓘ |
| hasAbbreviation |
ACM
ⓘ
surface form:
ACM TDS
|
| hasPublisherType | scientific society ⓘ |
| hasWebsite | https://dl.acm.org/journal/tds ⓘ |
| isPartOf | ACM Digital Library ⓘ |
| language | English ⓘ |
| publisher |
ACM
ⓘ
Association for Computing Machinery ⓘ |
| publishingModel |
hybrid open access
ⓘ
subscription-based ⓘ |
| reviewProcess | peer-reviewed ⓘ |
| subjectArea |
applied data science
ⓘ
computational methods ⓘ data science ⓘ data-intensive computing ⓘ theoretical data science ⓘ |
| targetAudience |
academics
ⓘ
data science practitioners ⓘ researchers ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.