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1 Ergebnisse
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Hypothesis Generation and Interpretation: Design Principles..
Studies in Big Data, 139
Ishikawa, Hiroshi
- 1st ed. 2024 . , 2024
Link:
https://doi.org/10.1007/978-3-031-43540-9
RT T1
Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications
UL https://suche.suub.uni-bremen.de/peid=springer-978-3-031-43540-9&Exemplar=1&LAN=DE A1 Ishikawa, Hiroshi NO 1st ed. 2024 PB Springer International Publishing YR 2024 NO 1 Online-Ressource (372 S.) T3 Studies in Big Data, 139 SN 9783031435409 SN 9783031435393 SN 9783031435416 SN 9783031435423 K1 Computer science K1 Database management K1 Data mining K1 Machine learning K1 Big data K1 System theory K1 Theory of Computation K1 Database Management K1 Data Mining and Knowledge Discovery K1 Machine Learning K1 Big Data K1 Complex Systems LK http://dx.doi.org/https://doi.org/10.1007/978-3-031-43540-9 DO https://doi.org/10.1007/978-3-031-43540-9 SF ELIB - SuUB Bremen
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