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Statistical Analysis and Data Mining

STAT ANAL DATA MIN

ISSN：1932-1864　E-ISSN：1932-1872 　出版商：Wiley 　国家：UNITED STATES

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.

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