Principles and Applications of Data Science
Data science is an emerging multidisciplinary field which lies at the intersection of computer science, statistics, and mathematics, with different applications and related to data mining, deep learning, and big data. This Special Issue on “Principles and Applications of Data Science” focuses on the...
Saved in:
Sonstige: | |
---|---|
Year of Publication: | 2022 |
Language: | English |
Physical Description: | 1 electronic resource (168 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993545019104498 |
---|---|
ctrlnum |
(CKB)5690000000011977 (oapen)https://directory.doabooks.org/handle/20.500.12854/87513 (EXLCZ)995690000000011977 |
collection |
bib_alma |
record_format |
marc |
spelling |
Liu, Chuan-Ming edt Principles and Applications of Data Science Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 1 electronic resource (168 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Data science is an emerging multidisciplinary field which lies at the intersection of computer science, statistics, and mathematics, with different applications and related to data mining, deep learning, and big data. This Special Issue on “Principles and Applications of Data Science” focuses on the latest developments in the theories, techniques, and applications of data science. The topics include data cleansing, data mining, machine learning, deep learning, and the applications of medical and healthcare, as well as social media. English Technology: general issues bicssc History of engineering & technology bicssc deep learning user preference learning feature fusion similar user recommendation convolutional neural network image classification electronic health records fair exchange forward secrecy raw material mining terminology dictionary terminology application mobile application digitization lexical data corpus data linguistic linked open data neuro-fuzzy prediction model air pollution PM2.5 PM10 self-attention mechanism graph neural network data mining behaviour sequence pattern behaviour network water crystal fine-tuning supervised classification combined classification model deep transfer learning focal-segmental kidney disease kidney glomeruli medical image sclerosed glomeruli predictive analytics Internet of Things peasant farming smart farming system crop production prediction 3-0365-4527-1 3-0365-4528-X Liu, Chuan-Ming oth |
language |
English |
format |
eBook |
author2 |
Liu, Chuan-Ming |
author_facet |
Liu, Chuan-Ming |
author2_variant |
c m l cml |
author2_role |
Sonstige |
title |
Principles and Applications of Data Science |
spellingShingle |
Principles and Applications of Data Science |
title_full |
Principles and Applications of Data Science |
title_fullStr |
Principles and Applications of Data Science |
title_full_unstemmed |
Principles and Applications of Data Science |
title_auth |
Principles and Applications of Data Science |
title_new |
Principles and Applications of Data Science |
title_sort |
principles and applications of data science |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
physical |
1 electronic resource (168 p.) |
isbn |
3-0365-4527-1 3-0365-4528-X |
illustrated |
Not Illustrated |
work_keys_str_mv |
AT liuchuanming principlesandapplicationsofdatascience |
status_str |
n |
ids_txt_mv |
(CKB)5690000000011977 (oapen)https://directory.doabooks.org/handle/20.500.12854/87513 (EXLCZ)995690000000011977 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Principles and Applications of Data Science |
author2_original_writing_str_mv |
noLinkedField |
_version_ |
1796651448319082496 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03015nam-a2200841z--4500</leader><controlfield tag="001">993545019104498</controlfield><controlfield tag="005">20231214133013.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202207s2022 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5690000000011977</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/87513</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995690000000011977</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Liu, Chuan-Ming</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Principles and Applications of Data Science</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Basel</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (168 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="520" ind1=" " ind2=" "><subfield code="a">Data science is an emerging multidisciplinary field which lies at the intersection of computer science, statistics, and mathematics, with different applications and related to data mining, deep learning, and big data. This Special Issue on “Principles and Applications of Data Science” focuses on the latest developments in the theories, techniques, and applications of data science. The topics include data cleansing, data mining, machine learning, deep learning, and the applications of medical and healthcare, as well as social media.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Technology: general issues</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">History of engineering & technology</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">deep learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">user preference learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">feature fusion</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">similar user recommendation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">convolutional neural network</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">image classification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">electronic health records</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fair exchange</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">forward secrecy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">raw material</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">mining</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">terminology</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">dictionary</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">terminology application</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">mobile application</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">digitization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">lexical data</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">corpus data</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">linguistic linked open data</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">neuro-fuzzy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">prediction model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">air pollution</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">PM2.5</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">PM10</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">self-attention mechanism</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">graph neural network</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data mining</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">behaviour sequence pattern</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">behaviour network</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">water crystal</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fine-tuning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">supervised</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">classification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">combined classification model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">deep transfer learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">focal-segmental</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">kidney disease</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">kidney glomeruli</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">medical image</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sclerosed glomeruli</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">predictive analytics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Internet of Things</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">peasant farming</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">smart farming system</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">crop production prediction</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-4527-1</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-4528-X</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Chuan-Ming</subfield><subfield code="4">oth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:39:37 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-07-14 08:50:39 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5337828350004498&Force_direct=true</subfield><subfield code="Z">5337828350004498</subfield><subfield code="b">Available</subfield><subfield code="8">5337828350004498</subfield></datafield></record></collection> |