Big Data Analytics and Information Science for Business and Biomedical Applications
The analysis of Big Data in biomedical as well as business and financial research has drawn much attention from researchers worldwide. This book provides a platform for the deep discussion of state-of-the-art statistical methods developed for the analysis of Big Data in these areas. Both applied and...
Saved in:
| HerausgeberIn: | |
|---|---|
| Sonstige: | |
| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 electronic resource (246 p.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 03118nam-a2200913z--4500 | ||
|---|---|---|---|
| 001 | 993546012004498 | ||
| 005 | 20240605220423.0 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 202203s2022 xx |||||o ||| 0|eng d | ||
| 035 | |a (CKB)5400000000045254 | ||
| 035 | |a (oapen)https://directory.doabooks.org/handle/20.500.12854/79592 | ||
| 035 | |a (EXLCZ)995400000000045254 | ||
| 041 | 0 | |a eng | |
| 100 | 1 | |a Ahmed, S. Ejaz |4 edt | |
| 245 | 1 | 0 | |a Big Data Analytics and Information Science for Business and Biomedical Applications |
| 260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2022 | ||
| 300 | |a 1 electronic resource (246 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 506 | |a Open access |f Unrestricted online access |2 star | ||
| 520 | |a The analysis of Big Data in biomedical as well as business and financial research has drawn much attention from researchers worldwide. This book provides a platform for the deep discussion of state-of-the-art statistical methods developed for the analysis of Big Data in these areas. Both applied and theoretical contributions are showcased. | ||
| 546 | |a English | ||
| 650 | 7 | |a Humanities |2 bicssc | |
| 650 | 7 | |a Social interaction |2 bicssc | |
| 653 | |a high-dimensional | ||
| 653 | |a nonlocal prior | ||
| 653 | |a strong selection consistency | ||
| 653 | |a estimation consistency | ||
| 653 | |a generalized linear models | ||
| 653 | |a high dimensional predictors | ||
| 653 | |a model selection | ||
| 653 | |a stepwise regression | ||
| 653 | |a deep learning | ||
| 653 | |a financial time series | ||
| 653 | |a causal and dilated convolutional neural networks | ||
| 653 | |a nuisance | ||
| 653 | |a post-selection inference | ||
| 653 | |a missingness mechanism | ||
| 653 | |a regularization | ||
| 653 | |a asymptotic theory | ||
| 653 | |a unconventional likelihood | ||
| 653 | |a high dimensional time-series | ||
| 653 | |a segmentation | ||
| 653 | |a mixture regression | ||
| 653 | |a sparse PCA | ||
| 653 | |a entropy-based robust EM | ||
| 653 | |a information complexity criteria | ||
| 653 | |a high dimension | ||
| 653 | |a multicategory classification | ||
| 653 | |a DWD | ||
| 653 | |a sparse group lasso | ||
| 653 | |a L2-consistency | ||
| 653 | |a proximal algorithm | ||
| 653 | |a abdominal aortic aneurysm | ||
| 653 | |a emulation | ||
| 653 | |a Medicare data | ||
| 653 | |a ensembling | ||
| 653 | |a high-dimensional data | ||
| 653 | |a Lasso | ||
| 653 | |a elastic net | ||
| 653 | |a penalty methods | ||
| 653 | |a prediction | ||
| 653 | |a random subspaces | ||
| 653 | |a ant colony system | ||
| 653 | |a bayesian spatial mixture model | ||
| 653 | |a inverse problem | ||
| 653 | |a nonparamteric boostrap | ||
| 653 | |a EEG/MEG data | ||
| 653 | |a feature representation | ||
| 653 | |a feature fusion | ||
| 653 | |a trend analysis | ||
| 653 | |a text mining | ||
| 776 | |z 3-0365-3193-9 | ||
| 776 | |z 3-0365-3192-0 | ||
| 700 | 1 | |a Nathoo, Farouk |4 edt | |
| 700 | 1 | |a Ahmed, S. Ejaz |4 oth | |
| 700 | 1 | |a Nathoo, Farouk |4 oth | |
| 906 | |a BOOK | ||
| ADM | |b 2024-06-06 04:17:01 Europe/Vienna |f system |c marc21 |a 2022-04-04 09:22:53 Europe/Vienna |g false | ||
| AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338066160004498&Force_direct=true |Z 5338066160004498 |b Available |8 5338066160004498 | ||