Research on the evaluation index system of college students’ class teaching quality based on association algorithm

Nowadays, the universal application and development of computer technology make data mining play an extremely crucial role in students’ English education. In this paper, students’ English learning is taken as an entry point, and Apriori algorithm is used to analyze English majors’ education technica...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Cluster computing 2019-11, Vol.22 (Suppl 6), p.13797-13803
Hauptverfasser: Wang, ZhiChao, Tian, Qing, Duan, Xinxing
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 13803
container_issue Suppl 6
container_start_page 13797
container_title Cluster computing
container_volume 22
creator Wang, ZhiChao
Tian, Qing
Duan, Xinxing
description Nowadays, the universal application and development of computer technology make data mining play an extremely crucial role in students’ English education. In this paper, students’ English learning is taken as an entry point, and Apriori algorithm is used to analyze English majors’ education technical to train data mining. In this paper, the introduction of lift-measure interest independent is used to explore the rules that can arouse our own interest. Taking the mutual exclusion of mining data into account, optimize and improve the classic Apriori algorithm, it improves the efficiency of mining frequent item sets effectively. After optimization, AD-apriori algorithm can make the reduction in complexity of time and space in mining process.
doi_str_mv 10.1007/s10586-018-2100-8
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2918248806</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2918248806</sourcerecordid><originalsourceid>FETCH-LOGICAL-c364t-50136f8e6d343c183809bb6a580baed830240ba6863b86e5e756014155de9e8a3</originalsourceid><addsrcrecordid>eNp1UM1KxDAQDqLguvoA3gKeq0nTpNOjLP7BgiB6Dmk67XbptrtJKu7N1_D1fBKzVPDkab6Z72fgI-SSs2vOWH7jOZOgEsYhSeMhgSMy4zIXSS4zcRyxiGwOMj8lZ96vGWNFnhYzEl7Qo3F2RYeehhVSfDfdaEIb17av8IP6vQ-4oUNN7dB12CD1YaywD_7784vaznhPAxq7avuG7kbTtWFPS-OxOkRGdrDtlGe6ZnBtWG3OyUltOo8Xv3NO3u7vXhePyfL54Wlxu0ysUFlIJONC1YCqEpmwHASwoiyVkcBKgxUIlmYRKVCiBIUSc6kYz7iUFRYIRszJ1ZS7dcNuRB_0ehhdH1_qtOCQZgBMRRWfVNYN3jus9da1G-P2mjN9KFdP5epYrj6UqyF60snjo7Zv0P0l_2_6ATPEfrg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2918248806</pqid></control><display><type>article</type><title>Research on the evaluation index system of college students’ class teaching quality based on association algorithm</title><source>SpringerNature Journals</source><source>ProQuest Central UK/Ireland</source><source>ProQuest Central</source><creator>Wang, ZhiChao ; Tian, Qing ; Duan, Xinxing</creator><creatorcontrib>Wang, ZhiChao ; Tian, Qing ; Duan, Xinxing</creatorcontrib><description>Nowadays, the universal application and development of computer technology make data mining play an extremely crucial role in students’ English education. In this paper, students’ English learning is taken as an entry point, and Apriori algorithm is used to analyze English majors’ education technical to train data mining. In this paper, the introduction of lift-measure interest independent is used to explore the rules that can arouse our own interest. Taking the mutual exclusion of mining data into account, optimize and improve the classic Apriori algorithm, it improves the efficiency of mining frequent item sets effectively. After optimization, AD-apriori algorithm can make the reduction in complexity of time and space in mining process.</description><identifier>ISSN: 1386-7857</identifier><identifier>EISSN: 1573-7543</identifier><identifier>DOI: 10.1007/s10586-018-2100-8</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Algorithms ; Colleges &amp; universities ; Computer Communication Networks ; Computer Science ; Customer relationship management ; Data mining ; Education ; Learning ; Operating Systems ; Processor Architectures ; Relational data bases ; Students</subject><ispartof>Cluster computing, 2019-11, Vol.22 (Suppl 6), p.13797-13803</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c364t-50136f8e6d343c183809bb6a580baed830240ba6863b86e5e756014155de9e8a3</citedby><cites>FETCH-LOGICAL-c364t-50136f8e6d343c183809bb6a580baed830240ba6863b86e5e756014155de9e8a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10586-018-2100-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918248806?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21388,27924,27925,33744,41488,42557,43805,51319,64385,64389,72469</link.rule.ids></links><search><creatorcontrib>Wang, ZhiChao</creatorcontrib><creatorcontrib>Tian, Qing</creatorcontrib><creatorcontrib>Duan, Xinxing</creatorcontrib><title>Research on the evaluation index system of college students’ class teaching quality based on association algorithm</title><title>Cluster computing</title><addtitle>Cluster Comput</addtitle><description>Nowadays, the universal application and development of computer technology make data mining play an extremely crucial role in students’ English education. In this paper, students’ English learning is taken as an entry point, and Apriori algorithm is used to analyze English majors’ education technical to train data mining. In this paper, the introduction of lift-measure interest independent is used to explore the rules that can arouse our own interest. Taking the mutual exclusion of mining data into account, optimize and improve the classic Apriori algorithm, it improves the efficiency of mining frequent item sets effectively. After optimization, AD-apriori algorithm can make the reduction in complexity of time and space in mining process.</description><subject>Algorithms</subject><subject>Colleges &amp; universities</subject><subject>Computer Communication Networks</subject><subject>Computer Science</subject><subject>Customer relationship management</subject><subject>Data mining</subject><subject>Education</subject><subject>Learning</subject><subject>Operating Systems</subject><subject>Processor Architectures</subject><subject>Relational data bases</subject><subject>Students</subject><issn>1386-7857</issn><issn>1573-7543</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1UM1KxDAQDqLguvoA3gKeq0nTpNOjLP7BgiB6Dmk67XbptrtJKu7N1_D1fBKzVPDkab6Z72fgI-SSs2vOWH7jOZOgEsYhSeMhgSMy4zIXSS4zcRyxiGwOMj8lZ96vGWNFnhYzEl7Qo3F2RYeehhVSfDfdaEIb17av8IP6vQ-4oUNN7dB12CD1YaywD_7784vaznhPAxq7avuG7kbTtWFPS-OxOkRGdrDtlGe6ZnBtWG3OyUltOo8Xv3NO3u7vXhePyfL54Wlxu0ysUFlIJONC1YCqEpmwHASwoiyVkcBKgxUIlmYRKVCiBIUSc6kYz7iUFRYIRszJ1ZS7dcNuRB_0ehhdH1_qtOCQZgBMRRWfVNYN3jus9da1G-P2mjN9KFdP5epYrj6UqyF60snjo7Zv0P0l_2_6ATPEfrg</recordid><startdate>20191101</startdate><enddate>20191101</enddate><creator>Wang, ZhiChao</creator><creator>Tian, Qing</creator><creator>Duan, Xinxing</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20191101</creationdate><title>Research on the evaluation index system of college students’ class teaching quality based on association algorithm</title><author>Wang, ZhiChao ; Tian, Qing ; Duan, Xinxing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-50136f8e6d343c183809bb6a580baed830240ba6863b86e5e756014155de9e8a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>Colleges &amp; universities</topic><topic>Computer Communication Networks</topic><topic>Computer Science</topic><topic>Customer relationship management</topic><topic>Data mining</topic><topic>Education</topic><topic>Learning</topic><topic>Operating Systems</topic><topic>Processor Architectures</topic><topic>Relational data bases</topic><topic>Students</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, ZhiChao</creatorcontrib><creatorcontrib>Tian, Qing</creatorcontrib><creatorcontrib>Duan, Xinxing</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Cluster computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, ZhiChao</au><au>Tian, Qing</au><au>Duan, Xinxing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Research on the evaluation index system of college students’ class teaching quality based on association algorithm</atitle><jtitle>Cluster computing</jtitle><stitle>Cluster Comput</stitle><date>2019-11-01</date><risdate>2019</risdate><volume>22</volume><issue>Suppl 6</issue><spage>13797</spage><epage>13803</epage><pages>13797-13803</pages><issn>1386-7857</issn><eissn>1573-7543</eissn><abstract>Nowadays, the universal application and development of computer technology make data mining play an extremely crucial role in students’ English education. In this paper, students’ English learning is taken as an entry point, and Apriori algorithm is used to analyze English majors’ education technical to train data mining. In this paper, the introduction of lift-measure interest independent is used to explore the rules that can arouse our own interest. Taking the mutual exclusion of mining data into account, optimize and improve the classic Apriori algorithm, it improves the efficiency of mining frequent item sets effectively. After optimization, AD-apriori algorithm can make the reduction in complexity of time and space in mining process.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10586-018-2100-8</doi><tpages>7</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1386-7857
ispartof Cluster computing, 2019-11, Vol.22 (Suppl 6), p.13797-13803
issn 1386-7857
1573-7543
language eng
recordid cdi_proquest_journals_2918248806
source SpringerNature Journals; ProQuest Central UK/Ireland; ProQuest Central
subjects Algorithms
Colleges & universities
Computer Communication Networks
Computer Science
Customer relationship management
Data mining
Education
Learning
Operating Systems
Processor Architectures
Relational data bases
Students
title Research on the evaluation index system of college students’ class teaching quality based on association algorithm
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T10%3A27%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Research%20on%20the%20evaluation%20index%20system%20of%20college%20students%E2%80%99%20class%20teaching%20quality%20based%20on%20association%20algorithm&rft.jtitle=Cluster%20computing&rft.au=Wang,%20ZhiChao&rft.date=2019-11-01&rft.volume=22&rft.issue=Suppl%206&rft.spage=13797&rft.epage=13803&rft.pages=13797-13803&rft.issn=1386-7857&rft.eissn=1573-7543&rft_id=info:doi/10.1007/s10586-018-2100-8&rft_dat=%3Cproquest_cross%3E2918248806%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2918248806&rft_id=info:pmid/&rfr_iscdi=true