Holdings: Data science and predictive analytics

Data science and predictive analytics: biomedical and health applications using R

Saved in:

Bibliographic Details
Main Author:	Dinov, Ivo D. (Author)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer [2018]
Subjects:	Big Data Big Data/Analytics Health Informatics Probability and Statistics in Computer Science Data Mining and Knowledge Discovery Big data Medical records / Data processing Computer science Data mining Medizinische Informatik UN KJQ MBG UNF big data statistical computing predictive analytics data science health analytics machine learning statistical learning in R hands-on machine learning Big Data methods data management streaming visualization neural networks controlled variable selection text mining natural language processing cross-validation deep learning
Online Access:	BTU01 FHA01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 UBG01 UBM01 UBR01 UBT01 UBW01 UBY01 UER01 UPA01 Volltext
Physical Description:	1 Online-Ressource (XXXIV, 832 Seiten)
ISBN:	9783319723471
DOI:	10.1007/978-3-319-72347-1

Staff View

MARC


LEADER	00000nmm a2200000zc 4500
001	BV045165152
003	DE-604
005	20230413
007	cr\|uuu---uuuuu
008	180904s2018 \|\|\|\| o\|\|u\| \|\|\|\|\|\|eng d
020			\|a 9783319723471 \|c Online \|9 978-3-319-72347-1
024	7		\|a 10.1007/978-3-319-72347-1 \|2 doi
035			\|a (ZDB-2-SCS)9783319723471
035			\|a (OCoLC)1187575052
035			\|a (DE-599)BVBBV045165152
040			\|a DE-604 \|b ger \|e rda
041	0		\|a eng
049			\|a DE-355 \|a DE-860 \|a DE-19 \|a DE-Aug4 \|a DE-898 \|a DE-861 \|a DE-523 \|a DE-859 \|a DE-473 \|a DE-29 \|a DE-863 \|a DE-20 \|a DE-862 \|a DE-92 \|a DE-573 \|a DE-M347 \|a DE-703 \|a DE-706 \|a DE-739 \|a DE-634 \|a DE-83
082	0		\|a 005.7 \|2 23
084			\|a ST 250 \|0 (DE-625)143626: \|2 rvk
084			\|a ST 530 \|0 (DE-625)143679: \|2 rvk
100	1		\|a Dinov, Ivo D. \|e Verfasser \|0 (DE-588)1168188180 \|4 aut
245	1	0	\|a Data science and predictive analytics \|b biomedical and health applications using R \|c Ivo D. Dinov
264		1	\|a Cham \|b Springer \|c [2018]
264		4	\|c © 2018
300			\|a 1 Online-Ressource (XXXIV, 832 Seiten)
336			\|b txt \|2 rdacontent
337			\|b c \|2 rdamedia
338			\|b cr \|2 rdacarrier
650		4	\|a Big Data
650		4	\|a Big Data/Analytics
650		4	\|a Health Informatics
650		4	\|a Probability and Statistics in Computer Science
650		4	\|a Data Mining and Knowledge Discovery
650		4	\|a Big data
650		4	\|a Medical records / Data processing
650		4	\|a Computer science
650		4	\|a Data mining
650	0	7	\|a Medizinische Informatik \|0 (DE-588)4038261-8 \|2 gnd \|9 rswk-swf
650	0	7	\|a Big Data \|0 (DE-588)4802620-7 \|2 gnd \|9 rswk-swf
653			\|a UN
653			\|a KJQ
653			\|a MBG
653			\|a UNF
653			\|a big data
653			\|a statistical computing
653			\|a predictive analytics
653			\|a data science
653			\|a health analytics
653			\|a machine learning
653			\|a statistical learning in R
653			\|a hands-on machine learning
653			\|a Big Data methods
653			\|a data management
653			\|a streaming
653			\|a visualization
653			\|a neural networks
653			\|a controlled variable selection
653			\|a text mining
653			\|a natural language processing
653			\|a cross-validation
653			\|a deep learning
653			\|a UN
689	0	0	\|a Big Data \|0 (DE-588)4802620-7 \|D s
689	0	1	\|a Medizinische Informatik \|0 (DE-588)4038261-8 \|D s
689	0		\|5 DE-604
776	0	8	\|i Erscheint auch als \|n Druck-Ausgabe \|z 978-3-319-72346-4
776	0	8	\|i Erscheint auch als \|n Druck-Ausgabe \|z 978-3-319-72348-8
856	4	0	\|u https://doi.org/10.1007/978-3-319-72347-1 \|x Verlag \|z URL des Erstveröffentlichers \|3 Volltext
912			\|a ZDB-2-SCS
940	1		\|q ZDB-2-SCS_2018
999			\|a oai:aleph.bib-bvb.de:BVB01-030554559
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l BTU01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l FHA01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l FHI01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l FHM01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l FHN01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l FHR01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l FKE01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l FLA01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l FRO01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l FWS01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l FWS02 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l HTW01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l UBG01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l UBM01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l UBR01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l UBT01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l UBW01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l UBY01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l UER01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-319-72347-1 \|l UPA01 \|p ZDB-2-SCS \|x Verlag \|3 Volltext

Record in the Search Index

DE-BY-FWS_katkey	700293
_version_	1824554734208417793
any_adam_object
author	Dinov, Ivo D.
author_GND	(DE-588)1168188180
author_facet	Dinov, Ivo D.
author_role	aut
author_sort	Dinov, Ivo D.
author_variant	i d d id idd
building	Verbundindex
bvnumber	BV045165152
classification_rvk	ST 250 ST 530
collection	ZDB-2-SCS
ctrlnum	(ZDB-2-SCS)9783319723471 (OCoLC)1187575052 (DE-599)BVBBV045165152
dewey-full	005.7
dewey-hundreds	000 - Computer science, information, general works
dewey-ones	005 - Computer programming, programs, data, security
dewey-raw	005.7
dewey-search	005.7
dewey-sort	15.7
dewey-tens	000 - Computer science, information, general works
discipline	Informatik
doi_str_mv	10.1007/978-3-319-72347-1
format	Electronic eBook
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04689nmm a2201069zc 4500</leader><controlfield tag="001">BV045165152</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20230413 </controlfield><controlfield tag="007">cr\|uuu---uuuuu</controlfield><controlfield tag="008">180904s2018 \|\|\|\| o\|\|u\| \|\|\|\|\|\|eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783319723471</subfield><subfield code="c">Online</subfield><subfield code="9">978-3-319-72347-1</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-3-319-72347-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-SCS)9783319723471</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1187575052</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045165152</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-355</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-Aug4</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-861</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-859</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-634</subfield><subfield code="a">DE-83</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.7</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 530</subfield><subfield code="0">(DE-625)143679:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Dinov, Ivo D.</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1168188180</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Data science and predictive analytics</subfield><subfield code="b">biomedical and health applications using R</subfield><subfield code="c">Ivo D. Dinov</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham</subfield><subfield code="b">Springer</subfield><subfield code="c">[2018]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XXXIV, 832 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big Data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big Data/Analytics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Health Informatics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Probability and Statistics in Computer Science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data Mining and Knowledge Discovery</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Medical records / Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Medizinische Informatik</subfield><subfield code="0">(DE-588)4038261-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">UN</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">KJQ</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">MBG</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">UNF</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">big data</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">statistical computing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">predictive analytics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data science</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">health analytics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">statistical learning in R</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hands-on machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Big Data methods</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data management</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">streaming</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">visualization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">neural networks</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">controlled variable selection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">text mining</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">natural language processing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cross-validation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">deep learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">UN</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Medizinische Informatik</subfield><subfield code="0">(DE-588)4038261-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-3-319-72346-4</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-3-319-72348-8</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-SCS</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-SCS_2018</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030554559</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">BTU01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">FHA01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">FHM01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">FHR01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">FKE01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">FLA01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">FRO01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">FWS01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">FWS02</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">HTW01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">UBG01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">UBM01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">UBR01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">UBT01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">UBW01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">UER01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-319-72347-1</subfield><subfield code="l">UPA01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection>
id	DE-604.BV045165152
illustrated	Not Illustrated
indexdate	2025-02-20T06:56:28Z
institution	BVB
isbn	9783319723471
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-030554559
oclc_num	1187575052
open_access_boolean
owner	DE-355 DE-BY-UBR DE-860 DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-20 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-83
owner_facet	DE-355 DE-BY-UBR DE-860 DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-20 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-83
physical	1 Online-Ressource (XXXIV, 832 Seiten)
psigel	ZDB-2-SCS ZDB-2-SCS_2018
publishDate	2018
publishDateSearch	2018
publishDateSort	2018
publisher	Springer
record_format	marc
spellingShingle	Dinov, Ivo D. Data science and predictive analytics biomedical and health applications using R Big Data Big Data/Analytics Health Informatics Probability and Statistics in Computer Science Data Mining and Knowledge Discovery Big data Medical records / Data processing Computer science Data mining Medizinische Informatik (DE-588)4038261-8 gnd Big Data (DE-588)4802620-7 gnd
subject_GND	(DE-588)4038261-8 (DE-588)4802620-7
title	Data science and predictive analytics biomedical and health applications using R
title_auth	Data science and predictive analytics biomedical and health applications using R
title_exact_search	Data science and predictive analytics biomedical and health applications using R
title_full	Data science and predictive analytics biomedical and health applications using R Ivo D. Dinov
title_fullStr	Data science and predictive analytics biomedical and health applications using R Ivo D. Dinov
title_full_unstemmed	Data science and predictive analytics biomedical and health applications using R Ivo D. Dinov
title_short	Data science and predictive analytics
title_sort	data science and predictive analytics biomedical and health applications using r
title_sub	biomedical and health applications using R
topic	Big Data Big Data/Analytics Health Informatics Probability and Statistics in Computer Science Data Mining and Knowledge Discovery Big data Medical records / Data processing Computer science Data mining Medizinische Informatik (DE-588)4038261-8 gnd Big Data (DE-588)4802620-7 gnd
topic_facet	Big Data Big Data/Analytics Health Informatics Probability and Statistics in Computer Science Data Mining and Knowledge Discovery Big data Medical records / Data processing Computer science Data mining Medizinische Informatik
url	https://doi.org/10.1007/978-3-319-72347-1
work_keys_str_mv	AT dinovivod datascienceandpredictiveanalyticsbiomedicalandhealthapplicationsusingr

Holdings

Get full text

MARC

Record in the Search Index

Similar Items