Preprocessing and Classification of Data Analysis in Institutional System using Weka

In today's world, an organization generates more information in a week than most people can read in a lifetime. It is humanly impossible to study, decipher, and interpret all that data to find useful information. By applying data mining techniques people can work on the extraction of hidden, hi...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	International journal of computer applications 2015-01, Vol.112 (6)
Hauptverfasser:	Thakur, Reena, Mahajan, A R
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Data mining Data processing Extraction Preprocessing Students
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page
container_issue	6
container_start_page
container_title	International journal of computer applications
container_volume	112
creator	Thakur, Reena Mahajan, A R
description	In today's world, an organization generates more information in a week than most people can read in a lifetime. It is humanly impossible to study, decipher, and interpret all that data to find useful information. By applying data mining techniques people can work on the extraction of hidden, historical and previously unknown large databases. In this paper we have used powerful data mining technology weka tool for the preprocessing, classification and analysis of institutional result of Computer science & engineering UG students. Here efficient information have been mined from the university result. Results show the analysis of marks, pass or fail, percentage of attendance etc.
doi_str_mv	10.5120/19668-1105
format	Article
fullrecord	<record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_1677936267</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1677936267</sourcerecordid><originalsourceid>FETCH-LOGICAL-p617-336697fcd4f0ded972fc741e2bc24a7aa5c444eff8a062e1f7a17376e36c6d173</originalsourceid><addsrcrecordid>eNpdj09LAzEQxYMoWGovfoKAFy-r-beTzbFUrYWCggWPZcxOJHWbrc3uod_erXoQ5_LeMD8ebxi7lOKmlErcSgdQFVKK8oSNhLNlUVWVPf3jz9kk540YRjsFzozY6nlPu33rKeeY3jmmms8aHJYQPXaxTbwN_A475NOEzSHHzGPii5S72PXHOzb85ZA72vL-O-GVPvCCnQVsMk1-dcxWD_er2WOxfJovZtNlsQNpC60BnA2-NkHUVDurgrdGknrzyqBFLL0xhkKoUIAiGSxKqy2QBg_1YMfs-id2eOCzp9yttzF7ahpM1PZ5LcFap0HBEb36h27afj-UP1KgrKqM0_oLfglgAQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1662728493</pqid></control><display><type>article</type><title>Preprocessing and Classification of Data Analysis in Institutional System using Weka</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Thakur, Reena ; Mahajan, A R</creator><creatorcontrib>Thakur, Reena ; Mahajan, A R</creatorcontrib><description>In today's world, an organization generates more information in a week than most people can read in a lifetime. It is humanly impossible to study, decipher, and interpret all that data to find useful information. By applying data mining techniques people can work on the extraction of hidden, historical and previously unknown large databases. In this paper we have used powerful data mining technology weka tool for the preprocessing, classification and analysis of institutional result of Computer science & engineering UG students. Here efficient information have been mined from the university result. Results show the analysis of marks, pass or fail, percentage of attendance etc.</description><identifier>ISSN: 0975-8887</identifier><identifier>EISSN: 0975-8887</identifier><identifier>DOI: 10.5120/19668-1105</identifier><language>eng</language><publisher>New York: Foundation of Computer Science</publisher><subject>Classification ; Data mining ; Data processing ; Extraction ; Preprocessing ; Students</subject><ispartof>International journal of computer applications, 2015-01, Vol.112 (6)</ispartof><rights>Copyright Foundation of Computer Science 2015</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27915,27916</link.rule.ids></links><search><creatorcontrib>Thakur, Reena</creatorcontrib><creatorcontrib>Mahajan, A R</creatorcontrib><title>Preprocessing and Classification of Data Analysis in Institutional System using Weka</title><title>International journal of computer applications</title><description>In today's world, an organization generates more information in a week than most people can read in a lifetime. It is humanly impossible to study, decipher, and interpret all that data to find useful information. By applying data mining techniques people can work on the extraction of hidden, historical and previously unknown large databases. In this paper we have used powerful data mining technology weka tool for the preprocessing, classification and analysis of institutional result of Computer science & engineering UG students. Here efficient information have been mined from the university result. Results show the analysis of marks, pass or fail, percentage of attendance etc.</description><subject>Classification</subject><subject>Data mining</subject><subject>Data processing</subject><subject>Extraction</subject><subject>Preprocessing</subject><subject>Students</subject><issn>0975-8887</issn><issn>0975-8887</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNpdj09LAzEQxYMoWGovfoKAFy-r-beTzbFUrYWCggWPZcxOJHWbrc3uod_erXoQ5_LeMD8ebxi7lOKmlErcSgdQFVKK8oSNhLNlUVWVPf3jz9kk540YRjsFzozY6nlPu33rKeeY3jmmms8aHJYQPXaxTbwN_A475NOEzSHHzGPii5S72PXHOzb85ZA72vL-O-GVPvCCnQVsMk1-dcxWD_er2WOxfJovZtNlsQNpC60BnA2-NkHUVDurgrdGknrzyqBFLL0xhkKoUIAiGSxKqy2QBg_1YMfs-id2eOCzp9yttzF7ahpM1PZ5LcFap0HBEb36h27afj-UP1KgrKqM0_oLfglgAQ</recordid><startdate>20150101</startdate><enddate>20150101</enddate><creator>Thakur, Reena</creator><creator>Mahajan, A R</creator><general>Foundation of Computer Science</general><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20150101</creationdate><title>Preprocessing and Classification of Data Analysis in Institutional System using Weka</title><author>Thakur, Reena ; Mahajan, A R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p617-336697fcd4f0ded972fc741e2bc24a7aa5c444eff8a062e1f7a17376e36c6d173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Classification</topic><topic>Data mining</topic><topic>Data processing</topic><topic>Extraction</topic><topic>Preprocessing</topic><topic>Students</topic><toplevel>online_resources</toplevel><creatorcontrib>Thakur, Reena</creatorcontrib><creatorcontrib>Mahajan, A R</creatorcontrib><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>International journal of computer applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thakur, Reena</au><au>Mahajan, A R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Preprocessing and Classification of Data Analysis in Institutional System using Weka</atitle><jtitle>International journal of computer applications</jtitle><date>2015-01-01</date><risdate>2015</risdate><volume>112</volume><issue>6</issue><issn>0975-8887</issn><eissn>0975-8887</eissn><abstract>In today's world, an organization generates more information in a week than most people can read in a lifetime. It is humanly impossible to study, decipher, and interpret all that data to find useful information. By applying data mining techniques people can work on the extraction of hidden, historical and previously unknown large databases. In this paper we have used powerful data mining technology weka tool for the preprocessing, classification and analysis of institutional result of Computer science & engineering UG students. Here efficient information have been mined from the university result. Results show the analysis of marks, pass or fail, percentage of attendance etc.</abstract><cop>New York</cop><pub>Foundation of Computer Science</pub><doi>10.5120/19668-1105</doi></addata></record>
fulltext	fulltext
identifier	ISSN: 0975-8887
ispartof	International journal of computer applications, 2015-01, Vol.112 (6)
issn	0975-8887 0975-8887
language	eng
recordid	cdi_proquest_miscellaneous_1677936267
source	Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects	Classification Data mining Data processing Extraction Preprocessing Students
title	Preprocessing and Classification of Data Analysis in Institutional System using Weka
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T06%3A08%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Preprocessing%20and%20Classification%20of%20Data%20Analysis%20in%20Institutional%20System%20using%20Weka&rft.jtitle=International%20journal%20of%20computer%20applications&rft.au=Thakur,%20Reena&rft.date=2015-01-01&rft.volume=112&rft.issue=6&rft.issn=0975-8887&rft.eissn=0975-8887&rft_id=info:doi/10.5120/19668-1105&rft_dat=%3Cproquest%3E1677936267%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1662728493&rft_id=info:pmid/&rfr_iscdi=true