Statistical Analysis and Data Mining
Note: The following journal information is for reference only. Please check the journal website for updated information prior to submission.
Journal Title
Statistical Analysis and Data Mining
STAT ANAL DATA MIN
ISSN / eISSN
1932-1864 / 1932-1872
Aims and Scope
Statistical Analysis and Data Mining addresses the broad area of data analysis, including statistical approaches, machine learning, data mining, and applications. Topics include statistical and computational approaches for analyzing massive and complex datasets, novel statistical and/or machine learning methods and theory, and state-of-the-art applications with high impact. Of special interest are articles that describe innovative analytical techniques, and discuss their application to real problems, in such a way that they are accessible and beneficial to domain experts across science, engineering, and commerce.
The focus of the journal is on papers which satisfy one or more of the following criteria:
Solve data analysis problems associated with massive, complex datasets
Develop innovative statistical approaches, machine learning algorithms, or methods integrating ideas across disciplines, e.g., statistics, computer science, electrical engineering, operation research.
Formulate and solve high-impact real-world problems which challenge existing paradigms via new statistical and/or computational models
Provide survey to prominent research topics.
The focus of the journal is on papers which satisfy one or more of the following criteria:
Solve data analysis problems associated with massive, complex datasets
Develop innovative statistical approaches, machine learning algorithms, or methods integrating ideas across disciplines, e.g., statistics, computer science, electrical engineering, operation research.
Formulate and solve high-impact real-world problems which challenge existing paradigms via new statistical and/or computational models
Provide survey to prominent research topics.
Subject Area
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
STATISTICS & PROBABILITY
CiteScore
3.20
View Trend
CiteScore Ranking
| Category | Quartile | Rank |
|---|---|---|
| Mathematics - Analysis | Q1 | #41/193 |
| Mathematics - Information Systems | Q3 | #211/394 |
| Mathematics - Computer Science Applications | Q3 | #451/817 |
Web of Science Core Collection
| Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
|---|---|
| Indexed | - |
| Category (Journal Citation Reports 2024) | Quartile |
|---|---|
| COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Q3 |
| COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | Q3 |
| STATISTICS & PROBABILITY | Q1 |
H-index
26
Country/Area of Publication
UNITED STATES
Publisher
Wiley-Blackwell
Annual Article Volume
35
Open Access
NO
Contact
111 RIVER ST, HOBOKEN, USA, NJ, 07030-5774
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started