Classification, (Big) Data Analysis and Statistical Learning
This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social ne...
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
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Άλλοι συγγραφείς: | Mola, Francesco (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Conversano, Claudio (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Vichi, Maurizio (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
|
Έκδοση: | 1st ed. 2018. |
Σειρά: | Studies in Classification, Data Analysis, and Knowledge Organization,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
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Statistical Learning of Complex Data
Έκδοση: (2019) -
Measuring the Data Universe Data Integration Using Statistical Data and Metadata Exchange /
ανά: Stahl, Reinhold, κ.ά.
Έκδοση: (2018) -
Statistical Analysis of Microbiome Data with R
ανά: Xia, Yinglin, κ.ά.
Έκδοση: (2018) -
Data Science and Predictive Analytics Biomedical and Health Applications using R /
ανά: Dinov, Ivo D., κ.ά.
Έκδοση: (2018) -
Analyzing Dependent Data with Vine Copulas A Practical Guide With R /
ανά: Czado, Claudia, κ.ά.
Έκδοση: (2019)