Academic Journal

Smoothing Spline ANOVA Models and their Applications in Complex and Massive Datasets

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Smoothing Spline ANOVA Models and their Applications in Complex and Massive Datasets
Συγγραφείς: Zhang, Jingyi
Πηγή: MODID-6d55e02e354:IntechOpen
Στοιχεία εκδότη: IntechOpen
Έτος έκδοσης: 2018
Θεματικοί όροι: Computers / Programming / Algorithms, bisacsh:COM051300
Περιγραφή: Complex and massive datasets can be easily accessed using the newly developed data acquisition technology. In spite of the fact that the smoothing spline ANOVA models have proven to be useful in a variety of fields, these datasets impose the challenges on the applications of the models. In this chapter, we present a selected review of the smoothing spline ANOVA models and highlight some challenges and opportunities in massive datasets. We review two approaches to significantly reduce the computational costs of fitting the model. One real case study is used to illustrate the performance of the reviewed methods.
Τύπος εγγράφου: article in journal/newspaper
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
ISBN: 978-1-78923-250-9
1-78923-250-3
DOI: 10.5772/intechopen.75861
Διαθεσιμότητα: https://openresearchlibrary.org/viewer/1d8f3a94-194d-4d4f-b123-ab3718c33121
https://openresearchlibrary.org/ext/api/media/1d8f3a94-194d-4d4f-b123-ab3718c33121/assets/external_content.pdf
https://doi.org/10.5772/intechopen.75861
Rights: https://creativecommons.org/licenses/by/4.0/legalcode
Αριθμός Καταχώρησης: edsbas.8E71820
Βάση Δεδομένων: BASE
Περιγραφή
ISBN:9781789232509
1789232503
DOI:10.5772/intechopen.75861