封面圖片

Data Science, Learning by Latent Structures, and Knowledge Discovery

This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering, and pattern recognition methods; strategies for modeling complex data...

全面介紹

Saved in:
書目詳細資料
企業作者: SpringerLink (Online service)
其他作者: Lausen, Berthold. (Editor, http://id.loc.gov/vocabulary/relators/edt), Krolak-Schwerdt, Sabine. (Editor, http://id.loc.gov/vocabulary/relators/edt), Böhmer, Matthias. (Editor, http://id.loc.gov/vocabulary/relators/edt)
格式: 電子 電子書
語言:English
出版: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
版:1st ed. 2015.
叢編:Studies in Classification, Data Analysis, and Knowledge Organization,
主題:
Statistics .
Marketing.
Psychometrics.
Biostatistics.
Data mining.
Operations research.
Decision making.
Statistics, general.
Data Mining and Knowledge Discovery.
Operations Research/Decision Theory.
在線閱讀:https://doi.org/10.1007/978-3-662-44983-7
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!

因特網

https://doi.org/10.1007/978-3-662-44983-7

相似書籍