Computational Methods for Data Analysis / / Carlo Cattani, Yeliz Karaca.

This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are th...

Full description

Saved in:
Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Plus eBook-Package 2019
VerfasserIn:
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2018]
©2019
Year of Publication:2018
Language:English
Series:De Gruyter Textbook
Online Access:
Physical Description:1 online resource (XII, 383 p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 9783110496369
lccn 2018951307
ctrlnum (DE-B1597)470007
(OCoLC)1083630583
collection bib_alma
record_format marc
spelling Karaca, Yeliz, author. aut http://id.loc.gov/vocabulary/relators/aut
Computational Methods for Data Analysis / Carlo Cattani, Yeliz Karaca.
Berlin ; Boston : De Gruyter, [2018]
©2019
1 online resource (XII, 383 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
De Gruyter Textbook
Frontmatter -- Preface -- Acknowledgment -- Contents -- 1. Introduction -- 2. Dataset -- 3. Data preprocessing and model evaluation -- 4. Algorithms -- 5. Linear model and multilinear model -- 6. Decision Tree -- 7. Naive Bayesian classifier -- 8. Support vector machines algorithms -- 9. k-Nearest neighbor algorithm -- 10. Artificial neural networks algorithm -- 11. Fractal and multifractal methods with ANN -- Index
restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star
This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are then used for the processing of real-life data using Matlab.
Mode of access: Internet via World Wide Web.
In English.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021)
Mathematical statistics.
Probabilities.
Statistics Data processing.
Bioinformatik.
Datenanalyse.
Maschinelles Lernen.
Massendaten.
Ökonometrie.
MATHEMATICS / Applied. bisacsh
Cattani, Carlo, author. aut http://id.loc.gov/vocabulary/relators/aut
Title is part of eBook package: De Gruyter DG Plus eBook-Package 2019 9783110719567
Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE DG 2019 English 9783110616859
Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2018 English 9783110604252
Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2018 9783110603255 ZDB-23-DGG
Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2018 English 9783110604023
Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2018 9783110603118 ZDB-23-DEI
EPUB 9783110493603
print 9783110496352
https://doi.org/10.1515/9783110496369
https://www.degruyter.com/isbn/9783110496369
Cover https://www.degruyter.com/cover/covers/9783110496369.jpg
language English
format eBook
author Karaca, Yeliz,
Karaca, Yeliz,
Cattani, Carlo,
spellingShingle Karaca, Yeliz,
Karaca, Yeliz,
Cattani, Carlo,
Computational Methods for Data Analysis /
De Gruyter Textbook
Frontmatter --
Preface --
Acknowledgment --
Contents --
1. Introduction --
2. Dataset --
3. Data preprocessing and model evaluation --
4. Algorithms --
5. Linear model and multilinear model --
6. Decision Tree --
7. Naive Bayesian classifier --
8. Support vector machines algorithms --
9. k-Nearest neighbor algorithm --
10. Artificial neural networks algorithm --
11. Fractal and multifractal methods with ANN --
Index
author_facet Karaca, Yeliz,
Karaca, Yeliz,
Cattani, Carlo,
Cattani, Carlo,
Cattani, Carlo,
author_variant y k yk
y k yk
c c cc
author_role VerfasserIn
VerfasserIn
VerfasserIn
author2 Cattani, Carlo,
Cattani, Carlo,
author2_variant c c cc
author2_role VerfasserIn
VerfasserIn
author_sort Karaca, Yeliz,
title Computational Methods for Data Analysis /
title_full Computational Methods for Data Analysis / Carlo Cattani, Yeliz Karaca.
title_fullStr Computational Methods for Data Analysis / Carlo Cattani, Yeliz Karaca.
title_full_unstemmed Computational Methods for Data Analysis / Carlo Cattani, Yeliz Karaca.
title_auth Computational Methods for Data Analysis /
title_alt Frontmatter --
Preface --
Acknowledgment --
Contents --
1. Introduction --
2. Dataset --
3. Data preprocessing and model evaluation --
4. Algorithms --
5. Linear model and multilinear model --
6. Decision Tree --
7. Naive Bayesian classifier --
8. Support vector machines algorithms --
9. k-Nearest neighbor algorithm --
10. Artificial neural networks algorithm --
11. Fractal and multifractal methods with ANN --
Index
title_new Computational Methods for Data Analysis /
title_sort computational methods for data analysis /
series De Gruyter Textbook
series2 De Gruyter Textbook
publisher De Gruyter,
publishDate 2018
physical 1 online resource (XII, 383 p.)
contents Frontmatter --
Preface --
Acknowledgment --
Contents --
1. Introduction --
2. Dataset --
3. Data preprocessing and model evaluation --
4. Algorithms --
5. Linear model and multilinear model --
6. Decision Tree --
7. Naive Bayesian classifier --
8. Support vector machines algorithms --
9. k-Nearest neighbor algorithm --
10. Artificial neural networks algorithm --
11. Fractal and multifractal methods with ANN --
Index
isbn 9783110496369
9783110719567
9783110616859
9783110604252
9783110603255
9783110604023
9783110603118
9783110493603
9783110496352
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA276
callnumber-sort QA 3276.4 K355 42019
url https://doi.org/10.1515/9783110496369
https://www.degruyter.com/isbn/9783110496369
https://www.degruyter.com/cover/covers/9783110496369.jpg
illustrated Not Illustrated
doi_str_mv 10.1515/9783110496369
oclc_num 1083630583
work_keys_str_mv AT karacayeliz computationalmethodsfordataanalysis
AT cattanicarlo computationalmethodsfordataanalysis
status_str n
ids_txt_mv (DE-B1597)470007
(OCoLC)1083630583
carrierType_str_mv cr
hierarchy_parent_title Title is part of eBook package: De Gruyter DG Plus eBook-Package 2019
Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE DG 2019 English
Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2018 English
Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2018
Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2018 English
Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2018
is_hierarchy_title Computational Methods for Data Analysis /
container_title Title is part of eBook package: De Gruyter DG Plus eBook-Package 2019
author2_original_writing_str_mv noLinkedField
noLinkedField
_version_ 1806144421798871040
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04451nam a22009135i 4500</leader><controlfield tag="001">9783110496369</controlfield><controlfield tag="003">DE-B1597</controlfield><controlfield tag="005">20210830012106.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr || ||||||||</controlfield><controlfield tag="008">210830t20182019gw fo d z eng d</controlfield><datafield tag="010" ind1=" " ind2=" "><subfield code="a">2018951307</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783110496369</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/9783110496369</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-B1597)470007</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1083630583</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-B1597</subfield><subfield code="b">eng</subfield><subfield code="c">DE-B1597</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">DE</subfield></datafield><datafield tag="050" ind1="0" ind2="0"><subfield code="a">QA276.4</subfield><subfield code="b">.K355 2019</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">MAT003000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SK 990</subfield><subfield code="2">rvk</subfield><subfield code="0">(DE-625)rvk/143278:</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Karaca, Yeliz, </subfield><subfield code="e">author.</subfield><subfield code="4">aut</subfield><subfield code="4">http://id.loc.gov/vocabulary/relators/aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Computational Methods for Data Analysis /</subfield><subfield code="c">Carlo Cattani, Yeliz Karaca.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin ;</subfield><subfield code="a">Boston : </subfield><subfield code="b">De Gruyter, </subfield><subfield code="c">[2018]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (XII, 383 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="a">text file</subfield><subfield code="b">PDF</subfield><subfield code="2">rda</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">De Gruyter Textbook</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="t">Frontmatter -- </subfield><subfield code="t">Preface -- </subfield><subfield code="t">Acknowledgment -- </subfield><subfield code="t">Contents -- </subfield><subfield code="t">1. Introduction -- </subfield><subfield code="t">2. Dataset -- </subfield><subfield code="t">3. Data preprocessing and model evaluation -- </subfield><subfield code="t">4. Algorithms -- </subfield><subfield code="t">5. Linear model and multilinear model -- </subfield><subfield code="t">6. Decision Tree -- </subfield><subfield code="t">7. Naive Bayesian classifier -- </subfield><subfield code="t">8. Support vector machines algorithms -- </subfield><subfield code="t">9. k-Nearest neighbor algorithm -- </subfield><subfield code="t">10. Artificial neural networks algorithm -- </subfield><subfield code="t">11. Fractal and multifractal methods with ANN -- </subfield><subfield code="t">Index</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="a">restricted access</subfield><subfield code="u">http://purl.org/coar/access_right/c_16ec</subfield><subfield code="f">online access with authorization</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are then used for the processing of real-life data using Matlab.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: Internet via World Wide Web.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In English.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Mathematical statistics.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Probabilities.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Statistics</subfield><subfield code="x">Data processing.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bioinformatik.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Datenanalyse.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Maschinelles Lernen.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Massendaten.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ökonometrie.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">MATHEMATICS / Applied.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cattani, Carlo, </subfield><subfield code="e">author.</subfield><subfield code="4">aut</subfield><subfield code="4">http://id.loc.gov/vocabulary/relators/aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">DG Plus eBook-Package 2019</subfield><subfield code="z">9783110719567</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">EBOOK PACKAGE COMPLETE DG 2019 English</subfield><subfield code="z">9783110616859</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">EBOOK PACKAGE COMPLETE 2018 English</subfield><subfield code="z">9783110604252</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">EBOOK PACKAGE COMPLETE 2018</subfield><subfield code="z">9783110603255</subfield><subfield code="o">ZDB-23-DGG</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">EBOOK PACKAGE Engineering, Computer Sciences 2018 English</subfield><subfield code="z">9783110604023</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">EBOOK PACKAGE Engineering, Computer Sciences 2018</subfield><subfield code="z">9783110603118</subfield><subfield code="o">ZDB-23-DEI</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">EPUB</subfield><subfield code="z">9783110493603</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">print</subfield><subfield code="z">9783110496352</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1515/9783110496369</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.degruyter.com/isbn/9783110496369</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="3">Cover</subfield><subfield code="u">https://www.degruyter.com/cover/covers/9783110496369.jpg</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">978-3-11-060402-3 EBOOK PACKAGE Engineering, Computer Sciences 2018 English</subfield><subfield code="b">2018</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">978-3-11-060425-2 EBOOK PACKAGE COMPLETE 2018 English</subfield><subfield code="b">2018</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">978-3-11-061685-9 EBOOK PACKAGE COMPLETE DG 2019 English</subfield><subfield code="b">2019</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">978-3-11-071956-7 DG Plus eBook-Package 2019</subfield><subfield code="b">2019</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_CL_CHCOMSGSEN</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_CL_MTPY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_DGALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EBKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_ECL_CHCOMSGSEN</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_ECL_MTPY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EEBKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_ESTMALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_STMALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV-deGruyter-alles</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA12STME</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA13ENGE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA18STMEE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA5EBK</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-23-DEI</subfield><subfield code="b">2018</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-23-DGG</subfield><subfield code="b">2017</subfield></datafield></record></collection>