A New Machine Learning Algorithm for Regional Low-Carbon Economic Development Analysis Based on Data Mining

The development of information technology such as the continuous improvement of mobile Internet infrastructure and the performance of computers has made it easy to process and share information. The huge market demand for location-based information services provides huge impetus to the generation an...

Full description

Saved in:
Bibliographic Details
Published in:Journal of function spaces Vol. 2022; pp. 1 - 8
Main Author: Liu, Xinlei
Format: Journal Article
Language:English
Published: New York Hindawi 25.08.2022
John Wiley & Sons, Inc
Wiley
Subjects:
Algorithms
Alternative energy sources
Analysis
Carbon
China
Climate change
Climatic changes
Computer terminals
Computers
Continuous improvement
Data mining
Economic analysis
Economic aspects
Economic development
Economic growth
Economic models
Economics
Emissions
Energy consumption
Geographical distribution
Geographical locations
Greenhouse effect
Greenhouse gases
Human influences
Industrialized nations
Information processing
Information services
Information services industry
Information technology
Interdisciplinary subjects
Learning algorithms
Location based services
Machine learning
Modal choice
Natural resources
Pollution
Regional development
Supply and demand
Technology
Urbanization
China
ISSN:2314-8896, 2314-8888
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract The development of information technology such as the continuous improvement of mobile Internet infrastructure and the performance of computers has made it easy to process and share information. The huge market demand for location-based information services provides huge impetus to the generation and development of mobile terminal positioning technology. Generally speaking, the main causes of climate change can be summarized into two categories: natural climate fluctuations and the impact of human activities which is a major measure taken by China to actively respond to climate change. This is a successful approach to actively explore the rapid development of China’s industrialization and urbanization, which not only develops the economy and improves people’s livelihood but also responds to climate change and reduces carbon intensity. Firstly, this paper mainly is aimed at the connotation of regional low-carbon economic development mode, studying the basic mode of regional low-carbon economic development, and analyzing the characteristics and applicable conditions of each mode. Secondly, based on the machine learning algorithm of data mining, the main mode selection of regional low-carbon economic development is discussed. Thirdly and finally, when choosing the regional low-carbon economic development mode, comprehensive consideration should be given to the economic development basis, energy structure, resource characteristics, industrial status, development mode, geographic location, and other factors. This paper studies the basic conditions and applicable conditions of regional economic development models. The conclusion shows that from the perspective of regional economic evolution, low-carbon economy can be regarded as the decarbonization process of economic development. It is an economic form combining its own characteristics and an inevitable requirement for the transformation of regional economy from other economic models to low-carbon economic models. And other factors of Selection of regional economic development foundation, energy structure, resource characteristics, industrial status, development mode, geographical location, were also discussed.
AbstractList The development of information technology such as the continuous improvement of mobile Internet infrastructure and the performance of computers has made it easy to process and share information. The huge market demand for location-based information services provides huge impetus to the generation and development of mobile terminal positioning technology. Generally speaking, the main causes of climate change can be summarized into two categories: natural climate fluctuations and the impact of human activities which is a major measure taken by China to actively respond to climate change. This is a successful approach to actively explore the rapid development of China’s industrialization and urbanization, which not only develops the economy and improves people’s livelihood but also responds to climate change and reduces carbon intensity. Firstly, this paper mainly is aimed at the connotation of regional low-carbon economic development mode, studying the basic mode of regional low-carbon economic development, and analyzing the characteristics and applicable conditions of each mode. Secondly, based on the machine learning algorithm of data mining, the main mode selection of regional low-carbon economic development is discussed. Thirdly and finally, when choosing the regional low-carbon economic development mode, comprehensive consideration should be given to the economic development basis, energy structure, resource characteristics, industrial status, development mode, geographic location, and other factors. This paper studies the basic conditions and applicable conditions of regional economic development models. The conclusion shows that from the perspective of regional economic evolution, low-carbon economy can be regarded as the decarbonization process of economic development. It is an economic form combining its own characteristics and an inevitable requirement for the transformation of regional economy from other economic models to low-carbon economic models. And other factors of Selection of regional economic development foundation, energy structure, resource characteristics, industrial status, development mode, geographical location, were also discussed.
Audience Academic
Author Liu, Xinlei
Author_xml – sequence: 1
  givenname: Xinlei
  orcidid: 0000-0002-4720-2342
  surname: Liu
  fullname: Liu, Xinlei
  organization: School of Economics and Finance of Xi’an Jiaotong UniversityXi’an 710061China
BookMark eNp9kd1u1DAQhSNUJErpHQ9giUtI65_YSS7DtkClLUgIrq2JPU69JPFip1317fGyBQQCbMljj75zJM95WhzNYcaieM7oGWNSnnPK-blULVdKPSqOuWBV2eR19PPeqifFaUobSiljLaukPC6-dOQ97sg1mBs_I1kjxNnPA-nGIUS_3EzEhUg-4uDDDCNZh125gtiHmVyaMIfJG3KBdziG7YTzQroM3SefyGtIaEnGLmABcu33ps-Kxw7GhKcP9aT4_Oby0-pduf7w9mrVrUtT1XQpRT6h5xWnTpgGoKVogVpFjcrPugLaVEwyVK2rramxRSqNchKlFT24WpwUVwdfG2Cjt9FPEO91AK-_N0IcNMTFmxE15a5R1mJPGa-cUA0K3leiseBUBY5mrxcHr20MX28xLXoTbmP-ZdK8pq1sq0bWv6gBsqmfXVgimMkno7tGCCZY3bBMnf2FyttinmNO0_nc_03ADwITQ0oRnTZ-gSVHkYV-1IzqffR6H71-iD6LXv0h-jGBf-AvD3jO38LO_5_-Bl6Suuo
CitedBy_id crossref_primary_10_3389_fpubh_2023_1181623
crossref_primary_10_1155_2023_9848797
Cites_doi 10.1080/10941665.2019.1610002
10.1016/j.ijhydene.2021.06.120
10.3390/ijerph19127165
10.3390/ijerph18073695
10.1007/s11442-018-1518-5
10.1016/j.cjpre.2021.04.004
10.1038/s41558-018-0175-0
10.3390/resources7030058
10.1111/1467-8489.12356
10.1016/S0140-6736(18)32594-7
10.1021/acs.est.8b04063
10.1007/s10668-020-00679-0
10.1016/j.apr.2018.07.005
10.1186/s13021-019-0130-z
10.1177/1086026619831516
10.1007/s10668-020-00706-0
10.3390/app9163300
10.1016/j.bushor.2019.10.005
10.5958/2278-4853.2021.00447.X
ContentType Journal Article
Copyright Copyright © 2022 Xinlei Liu.
COPYRIGHT 2022 John Wiley & Sons, Inc.
Copyright © 2022 Xinlei Liu. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0
Copyright_xml – notice: Copyright © 2022 Xinlei Liu.
– notice: COPYRIGHT 2022 John Wiley & Sons, Inc.
– notice: Copyright © 2022 Xinlei Liu. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0
DBID RHU
RHW
RHX
AAYXX
CITATION
3V.
7SC
7TB
7XB
8AL
8FD
8FE
8FG
8FK
ABJCF
ABUWG
AFKRA
ARAPS
ATCPS
AZQEC
BENPR
BGLVJ
BHPHI
CCPQU
CWDGH
DWQXO
FR3
GNUQQ
H8D
HCIFZ
JQ2
K7-
KR7
L6V
L7M
L~C
L~D
M0N
M7S
P62
PATMY
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PTHSS
PYCSY
Q9U
DOA
DOI 10.1155/2022/5692666
DatabaseName Hindawi Publishing Complete
Hindawi Publishing Subscription Journals
Hindawi Publishing Open Access
CrossRef
ProQuest Central (Corporate)
Computer and Information Systems Abstracts
Mechanical & Transportation Engineering Abstracts
ProQuest Central (purchase pre-March 2016)
Computing Database (Alumni Edition)
Technology Research Database
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Central (Alumni) (purchase pre-March 2016)
Materials Science & Engineering Collection
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
Advanced Technologies & Computer Science Collection
Agricultural & Environmental Science Collection
ProQuest Central Essentials
ProQuest Central
Technology collection
Natural Science Collection
ProQuest One Community College
Middle East & Africa Database
ProQuest Central
Engineering Research Database
ProQuest Central Student
Aerospace Database
SciTech Premium Collection
ProQuest Computer Science Collection
Computer Science Database
Civil Engineering Abstracts
ProQuest Engineering Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
Computing Database
Engineering Database
ProQuest Advanced Technologies & Aerospace Collection
Environmental Science Database
ProQuest Central Premium
ProQuest One Academic
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
ProQuest Central China
Engineering collection
Environmental Science Collection
ProQuest Central Basic
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
Publicly Available Content Database
Computer Science Database
ProQuest Central Student
Technology Collection
Technology Research Database
Computer and Information Systems Abstracts – Academic
ProQuest One Academic Middle East (New)
Mechanical & Transportation Engineering Abstracts
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Central China
ProQuest Central
ProQuest One Applied & Life Sciences
Aerospace Database
ProQuest Engineering Collection
Middle East & Africa Database
Natural Science Collection
ProQuest Central Korea
Agricultural & Environmental Science Collection
ProQuest Central (New)
Advanced Technologies Database with Aerospace
Engineering Collection
Advanced Technologies & Aerospace Collection
Civil Engineering Abstracts
ProQuest Computing
Engineering Database
ProQuest Central Basic
ProQuest Computing (Alumni Edition)
ProQuest One Academic Eastern Edition
ProQuest Technology Collection
ProQuest SciTech Collection
Computer and Information Systems Abstracts Professional
Environmental Science Collection
ProQuest One Academic UKI Edition
Materials Science & Engineering Collection
Environmental Science Database
Engineering Research Database
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
DatabaseTitleList

CrossRef
Publicly Available Content Database
Database_xml – sequence: 1
  dbid: RHX
  name: Hindawi Publishing Open Access
  url: http://www.hindawi.com/journals/
  sourceTypes: Publisher
– sequence: 2
  dbid: DOA
  name: Open Access: DOAJ - Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 3
  dbid: PIMPY
  name: Publicly Available Content Database
  url: http://search.proquest.com/publiccontent
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Mathematics
Economics
EISSN 2314-8888
Editor Chen, Miaochao
Editor_xml – sequence: 1
  givenname: Miaochao
  surname: Chen
  fullname: Chen, Miaochao
EndPage 8
ExternalDocumentID oai_doaj_org_article_02f86ddeb0124f368e32b438daf64af0
A833131781
10_1155_2022_5692666
GeographicLocations China
GeographicLocations_xml – name: China
GroupedDBID 0R~
24P
4.4
5VS
7XC
8FE
8FG
8FH
AAFWJ
AAJEY
AAKDD
ABDBF
ABJCF
ABUWG
ACCMX
ACIPV
ACIWK
ACUHS
ADBBV
AEGXH
AENEX
AFKRA
AFPKN
AFRAH
ALMA_UNASSIGNED_HOLDINGS
ARAPS
ATCPS
AZQEC
BCNDV
BENPR
BGLVJ
BHPHI
BPHCQ
CCPQU
CWDGH
DWQXO
EAD
EAP
EAS
EBS
EMK
EPL
ESX
GNUQQ
GROUPED_DOAJ
H13
HCIFZ
IAO
IHR
ITC
K6V
K7-
KQ8
L6V
M7S
PATMY
PHGZT
PIMPY
PQQKQ
PROAC
PTHSS
PYCSY
RHU
RHW
RHX
TUS
AAMMB
AAYXX
AEFGJ
AFFHD
AGXDD
AIDQK
AIDYY
ALUQN
AMVHM
CITATION
PHGZM
PQGLB
3V.
7SC
7TB
7XB
8AL
8FD
8FK
FR3
H8D
JQ2
KR7
L7M
L~C
L~D
M0N
P62
PKEHL
PQEST
PQUKI
PRINS
Q9U
ID FETCH-LOGICAL-c470t-3470ab2420f3c8aa90eda0d60c6c8a74a084151e69f7dc7e9e05c6f5e5d3baf73
IEDL.DBID RHX
ISICitedReferencesCount 3
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000850182700002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2314-8896
IngestDate Mon Nov 10 04:27:44 EST 2025
Fri Jul 25 12:04:55 EDT 2025
Sat Nov 29 13:50:34 EST 2025
Sat Nov 29 10:31:14 EST 2025
Sat Nov 29 05:53:12 EST 2025
Tue Nov 18 22:33:49 EST 2025
Wed Apr 16 06:22:53 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Language English
License This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
https://creativecommons.org/licenses/by/4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c470t-3470ab2420f3c8aa90eda0d60c6c8a74a084151e69f7dc7e9e05c6f5e5d3baf73
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0002-4720-2342
OpenAccessLink https://dx.doi.org/10.1155/2022/5692666
PQID 2709594857
PQPubID 1136340
PageCount 8
ParticipantIDs doaj_primary_oai_doaj_org_article_02f86ddeb0124f368e32b438daf64af0
proquest_journals_2709594857
gale_infotracmisc_A833131781
gale_infotracacademiconefile_A833131781
crossref_citationtrail_10_1155_2022_5692666
crossref_primary_10_1155_2022_5692666
hindawi_primary_10_1155_2022_5692666
PublicationCentury 2000
PublicationDate 2022-08-25
PublicationDateYYYYMMDD 2022-08-25
PublicationDate_xml – month: 08
  year: 2022
  text: 2022-08-25
  day: 25
PublicationDecade 2020
PublicationPlace New York
PublicationPlace_xml – name: New York
PublicationTitle Journal of function spaces
PublicationYear 2022
Publisher Hindawi
John Wiley & Sons, Inc
Wiley
Publisher_xml – name: Hindawi
– name: John Wiley & Sons, Inc
– name: Wiley
References 11
12
13
14
15
16
17
18
19
1
2
3
4
5
6
7
L. Ionescu (8) 2021; 13
9
20
10
References_xml – ident: 20
  doi: 10.1080/10941665.2019.1610002
– volume: 13
  start-page: 86
  issue: 1
  year: 2021
  ident: 8
  article-title: Transitioning to a low-carbon economy
  publication-title: Geopolitics, History, and International Relations
– ident: 19
  doi: 10.1016/j.ijhydene.2021.06.120
– ident: 12
  doi: 10.3390/ijerph19127165
– ident: 9
  doi: 10.3390/ijerph18073695
– ident: 13
  doi: 10.1007/s11442-018-1518-5
– ident: 4
  doi: 10.1016/j.cjpre.2021.04.004
– ident: 6
  doi: 10.1038/s41558-018-0175-0
– ident: 10
  doi: 10.3390/resources7030058
– ident: 15
  doi: 10.1111/1467-8489.12356
– ident: 5
  doi: 10.1016/S0140-6736(18)32594-7
– ident: 16
  doi: 10.1021/acs.est.8b04063
– ident: 11
  doi: 10.1007/s10668-020-00679-0
– ident: 14
  doi: 10.1016/j.apr.2018.07.005
– ident: 18
  doi: 10.1186/s13021-019-0130-z
– ident: 2
  doi: 10.1177/1086026619831516
– ident: 17
  doi: 10.1007/s10668-020-00706-0
– ident: 1
  doi: 10.3390/app9163300
– ident: 7
  doi: 10.1016/j.bushor.2019.10.005
– ident: 3
  doi: 10.5958/2278-4853.2021.00447.X
SSID ssj0001191455
Score 2.2432013
SecondaryResourceType retracted_publication
Snippet The development of information technology such as the continuous improvement of mobile Internet infrastructure and the performance of computers has made it...
SourceID doaj
proquest
gale
crossref
hindawi
SourceType Open Website
Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 1
SubjectTerms Algorithms
Alternative energy sources
Analysis
Carbon
China
Climate change
Climatic changes
Computer terminals
Computers
Continuous improvement
Data mining
Economic analysis
Economic aspects
Economic development
Economic growth
Economic models
Economics
Emissions
Energy consumption
Geographical distribution
Geographical locations
Greenhouse effect
Greenhouse gases
Human influences
Industrialized nations
Information processing
Information services
Information services industry
Information technology
Interdisciplinary subjects
Learning algorithms
Location based services
Machine learning
Modal choice
Natural resources
Pollution
Regional development
Supply and demand
Technology
Urbanization
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NaxNBFB-kKOhB_MTUKHOoeJClk_meY_qFh6aIKPQ2zGdarElJov33fTOZDQkivXhZ2N0HO_P2ffPm9xA6UCFJIaTvKBcOEpRsOnB6qQuZU69iOTxZp5acq4sLfXlpvmyN-io9YWt44DXjDgnNWoIOerCkPDOpE6OeMx1dltzlmq0TZbaSqVpdKbBlQvSd7kKUJJ8eCmnAIckdH1Sh-jcG-dFVSYXvrv8yzdXfnD1DT1ugiMfrBT5HD9LsBXoy2aCsLl-iH2MMNgpPaj9kwg0qdYrHN9M55PxXPzFEpPhrmtZyHz6f33XHbuHnM9wfR8ZbPUO4xyfBR-DZIgayE7dyeFJHSLxC389Ovx1_7trwhC5wRVYdg6vz4IBJZkE7Z0iKjkRJgoRbxR3R4LtHSZqsYlDJJCKCzCKJyLzLir1Ge7P5LL1BODCZvMlej1zkIkOE46k3MVMZiY6SD9Cnnp02NGTxMuDixtYMQwhbmG8b8wfow4b6do2o8Q-6o_JnNjQFB7s-AOmwTTrsfdIxQB_Lf7VFW2FJwbVDB7Cxgntlx5qxEYRQejRAwx1K0LKw8_qgScY9ix72YmObMVhaqkqxlWuh9v_Hnt6ix-WTpbBNxRDtrRa_0jv0MPxeXS8X76se_AHVwAi8
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: Engineering Database
  dbid: M7S
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELaggIADj0LFwoJ8KOKAojrxMye0LVQcuhXiIfVm-bmtaDdlN9C_z9h1tqwQcOASKcnIcjTj-caT8TcIbUsXBOfCVg3jBjYosa0A9ELlImus9OnwZO5aciAPD9XRUfuhJNyWpaxy8InZUfvOpRz5TiNTxoopLt-cf6tS16j0d7W00LiObiSWhDqX7n26yrEk8rLc-BSiGFYp1Yqh9p3ztO1vdrhoAaLEGipl8v6Vi751nDbHFye_OeuMQPv3_3fuD9C9EnviyaWxPETXwnwT3R6OJi830d3pisR1-Qh9nWBwgXiayy0DLkysMzw5ncHg_fEZhoAXfwyznE3EB91FtWcWtpvjYUj8S0kSHuhP8C4Ap8cg9tb0Bk9zh4rH6Mv-u89776vSm6FyTJK-onA1FvCdROqUMS0J3hAviBNwK5khCkKDOog2Su9kaAPhTkQeuKfWREm30Ma8m4cnCDsqgm2jVbXxjEcIoGxjWx8b4Ynygo3Q60E32hXi8tQ_41TnDQznOmlSF02O0MuV9PklYccf5HaTmlcyiWY7P-gWM11WrSZNVAIAwAKMs0iFCrSxjCpvomAmkhF6lYxEJ2cAU3KmnGmAD0u0WnqiKK0hQlP1CI3XJGERu7XX28XM_jHp8WBguviapb6yrqd_f_0M3UmDpYx4w8doo198D8_RTfejP1kuXuSl8xO3KBw0
  priority: 102
  providerName: ProQuest
Title A New Machine Learning Algorithm for Regional Low-Carbon Economic Development Analysis Based on Data Mining
URI https://dx.doi.org/10.1155/2022/5692666
https://www.proquest.com/docview/2709594857
https://doaj.org/article/02f86ddeb0124f368e32b438daf64af0
Volume 2022
WOSCitedRecordID wos000850182700002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: Open Access: DOAJ - Directory of Open Access Journals
  customDbUrl:
  eissn: 2314-8888
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001191455
  issn: 2314-8896
  databaseCode: DOA
  dateStart: 20030101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVPQU
  databaseName: AUTh Library subscriptions: ProQuest Central
  customDbUrl:
  eissn: 2314-8888
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001191455
  issn: 2314-8896
  databaseCode: BENPR
  dateStart: 20120101
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Computer Science Database
  customDbUrl:
  eissn: 2314-8888
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001191455
  issn: 2314-8896
  databaseCode: K7-
  dateStart: 20120101
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/compscijour
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Engineering Database
  customDbUrl:
  eissn: 2314-8888
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001191455
  issn: 2314-8896
  databaseCode: M7S
  dateStart: 20120101
  isFulltext: true
  titleUrlDefault: http://search.proquest.com
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Environmental Science Database
  customDbUrl:
  eissn: 2314-8888
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001191455
  issn: 2314-8896
  databaseCode: PATMY
  dateStart: 20120101
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/environmentalscience
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Middle East & Africa Database
  customDbUrl:
  eissn: 2314-8888
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001191455
  issn: 2314-8896
  databaseCode: CWDGH
  dateStart: 20120101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/middleeastafrica
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Publicly Available Content Database
  customDbUrl:
  eissn: 2314-8888
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001191455
  issn: 2314-8896
  databaseCode: PIMPY
  dateStart: 20120101
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/publiccontent
  providerName: ProQuest
– providerCode: PRVWIB
  databaseName: Open Access: Wiley-Blackwell Open Access Journals
  customDbUrl:
  eissn: 2314-8888
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001191455
  issn: 2314-8896
  databaseCode: 24P
  dateStart: 20030101
  isFulltext: true
  titleUrlDefault: https://authorservices.wiley.com/open-science/open-access/browse-journals.html
  providerName: Wiley-Blackwell
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9NAEF7RAhIcEE8RCNEeijggi4336WNSWhXRRFEAKZxW-0wrSoKSQP8-s9t1IFQILpZsj631PuabGc9-g9CBdEFwLmxVM27AQYlNBaAXKhdZbaVPmydz1ZJTOR6r2ayZFJKk9fVf-IB2yT2v33DRAJSIPbSneMrcmp7MfoVSEkdZrm8KxgqrlGpEm-L-x-M74JM5-rea-PZZ8oEvz6_p5Aw0x_fRvWIh4sHVkD5AN8LiIbo72tKrrh-hLwMMygmPciJkwIUjdY4HF_MlOPtnXzGYonga5jnOh0-Xl9WhWdnlArf7kPFvyUK4JSbBQ4A0j0HsrdkYPMq1Ix6jT8dHHw9PqlI1oXJMkk1F4WgsIC-J1CljGhK8IV4QJ-BUMkMUgHY_iCZK72RoAuFORB64p9ZESZ-g_cVyEZ4i7KgItolW9Y1nPIJpY2vb-FgLT5QXrINet92pXaEUT5UtLnR2LTjXqfN16fwOermV_nZFpfEXuWEama1MIsDOF2BS6LKeNKmjEqCaLQAsi1SoQGvLqPImCmYi6aBXaVx1WqbQJGfKbgP4sER4pQeK0j7YTqrfQd0dSVhebuf2QZkZ_2h0t502umiBta5lirIyxeWz_3vLc3QnnaaYdc27aH-z-h5eoFvux-Z8veqhm8Oj8WTay3EDOL6XVS_lqn6AO5N3o8nnXl4XPwEAgv2A
linkProvider Hindawi Publishing
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1LbxMxELZKARUOPAqIQAAfWnFAq268fu0BobSlapWHECpSb8bPtKJkSxKI-FP8RsbObkqEgFMPXFba9ciydz_PNzNrzyC0JaznjHGTEco0OCihzID0fGYDJUa4eHgyVS3pi-FQnpyU79bQj-YsTNxW2ejEpKhdZWOMfIeIGLGikok3F1-yWDUq_l1tSmgsYNHz3-fgsk1fH-3D990m5ODt8d5hVlcVyCwV-Swr4KoNMFMeCiu1LnPvdO54bjncCqpzCaTW8bwMwlnhS58zywPzzBVGB1FAv9fQdVpIEddVT2SXMZ2YLC0VWgWriWZSlrzZa89YDDOQHcZLoES-woKpWMCSEm6eRmd8fvYbOSTGO7j7v72re-hObVvj7mIx3EdrfryJNpqj19NNdHuwTFI7fYA-dTGoeDxI20k9rjPNjnD3fASTmZ1-xmDQ4_d-lKKluF_Nsz09MdUYN13iX7Zc4Sa9C94Fw8BhENvXM40HqQLHQ_ThSmb-CK2Pq7F_jLAtuDdlMLKjHWUBDERDTOkC4S6XjtMWetVgQdk6MXusD3KukoPGmIrIUTVyWmh7KX2xSEjyB7ndCKulTEwjnh5Uk5GqtZLKSZAcCM6AmUJDwaUviAFkOx041SFvoZcRlCoqOxiS1fWZDZhYTBumurIoOmCByk4LtVckQUnZleatGtb_GHS7AbSqdelUXaL5yd-bX6CNw-NBX_WPhr2n6FbsOEb_CWuj9dnkq3-Gbthvs7Pp5Hlathh9vGrs_wQjUHoe
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEF6VlOeBRykiEGAPrTggq856d70-IJQ2RERNogiB1J6WfaZVS1KSQMRf49cx66xTIgSceuBiyfZo5bU_zzczOzuD0E5uHGeM64RQpsBB8UUCpOcS4ynRuQ2bJ8uuJb18MBBHR8VwA_2o9sKEtMpKJ5aK2k5MiJHvkTxErKgAB97HtIhhu_Pm4ksSOkiFldaqncYSIofu-wLct9nrbhu-9S4hnbcfDt4lscNAYmiezpMMjkoDS6U-M0KpInVWpZanhsNpTlUqgOCajhc-tyZ3hUuZ4Z45ZjOtfJ7BuNfQJpjklNTQ5rDbHx5fRnhC6bSy7SrYUDQRouBV5j1jIehA9hgvgCD5GieWrQNWBHHjJLjmi9PfqKLkv869__nN3Ud3o9WNW8vf5AHacOMtdKvalD3bQnf6q_K1s4forIVB-eN-mWjqcKxBO8Kt8xFMZn7yGYOpj9-7URlHxb3JIjlQUz0Z42pI_EsyFq4Kv-B9MBksBrG2mivcL3tzbKOPVzLzR6g2nozdY4RNxp0uvBZNZSnzYDpqogvrCbepsJzW0asKF9LEku2hc8i5LF03xmRAkYwoqqPdlfTFslTJH-T2A8RWMqHAeHlhMh3JqK9kSrzgQH0aDBjqMy5cRjTNhFWeU-XTOnoZACqDGoRHMiru5oCJhYJisiWyrAm2qWjWUWNNEtSXWbu9EyH-j4duVOCWUcvO5CWyn_z99gt0EyAve93B4VN0O4wblgUIa6DafPrVPUPXzbf56Wz6PP7DGH26avD_BPONhJ8
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+New+Machine+Learning+Algorithm+for+Regional+Low-Carbon+Economic+Development+Analysis+Based+on+Data+Mining&rft.jtitle=Journal+of+function+spaces&rft.au=Liu%2C+Xinlei&rft.date=2022-08-25&rft.issn=2314-8896&rft.eissn=2314-8888&rft.volume=2022&rft.spage=1&rft.epage=8&rft_id=info:doi/10.1155%2F2022%2F5692666&rft.externalDBID=n%2Fa&rft.externalDocID=10_1155_2022_5692666
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2314-8896&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2314-8896&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2314-8896&client=summon