Modified classic apriori algorithm for association rule mining

In today’s real world environment, information is the most critical element in all aspects of the life. It can be used to perform analysis and it helps to make decision making. But due to large collection of information the analysis and extraction of such useful information is tedious process which...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of engineering & technology (Dubai) Vol. 7; no. 2.21; p. 414
Main Authors Anitha, G, A. Karthika, R, Bindu, G, V. Sriramakrishnan, G
Format Journal Article
LanguageEnglish
Published 20.04.2018
Online AccessGet full text

Cover

Abstract In today’s real world environment, information is the most critical element in all aspects of the life. It can be used to perform analysis and it helps to make decision making. But due to large collection of information the analysis and extraction of such useful information is tedious process which will create a major problem. In data mining, Association rules states about associations among the entities of known and unknown group and extracting hidden patterns in the data. Apriori algorithm is used for association rule mining. In this paper, due to limitations in rule condition, the algorithm was extended as new modified classic apriori algorithm which fulfills user stated minimum support and confidence constraints.  
AbstractList In today’s real world environment, information is the most critical element in all aspects of the life. It can be used to perform analysis and it helps to make decision making. But due to large collection of information the analysis and extraction of such useful information is tedious process which will create a major problem. In data mining, Association rules states about associations among the entities of known and unknown group and extracting hidden patterns in the data. Apriori algorithm is used for association rule mining. In this paper, due to limitations in rule condition, the algorithm was extended as new modified classic apriori algorithm which fulfills user stated minimum support and confidence constraints.  
Author V. Sriramakrishnan, G
Anitha, G
Bindu, G
A. Karthika, R
Author_xml – sequence: 1
  givenname: G
  surname: Anitha
  fullname: Anitha, G
– sequence: 2
  givenname: R
  surname: A. Karthika
  fullname: A. Karthika, R
– sequence: 3
  givenname: G
  surname: Bindu
  fullname: Bindu, G
– sequence: 4
  givenname: G
  surname: V. Sriramakrishnan
  fullname: V. Sriramakrishnan, G
BookMark eNpNkMtKAzEYhYNUsNY-gZu8wIz5c5tkI0hRK1TcdOEuxFxqynQiySj49k6rC1fnwIHDx3eJZkMeAkLXQFrgHPRN2oex_eoSbSm0QLkQZ2hOKe0aQfnr7F-_QMta94QQYBwU13N0-5x9iil47Hpba3LYfpSUS8K2300xvh9wzAVPW3bJjikPuHz2AR_SkIbdFTqPtq9h-ZcLtH24367Wzebl8Wl1t2mc0qLxTFophLDBEgFUR-WiDl51QGTkMgqrJeNBKGK9msAcpRxAis6_BWAK2AKx31tXcq0lRDNBHmz5NkDMSYI5SjBHCYaCOUlgP7XEUy4
ContentType Journal Article
DBID AAYXX
CITATION
DOI 10.14419/ijet.v7i2.21.12455
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList CrossRef
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 2227-524X
ExternalDocumentID 10_14419_ijet_v7i2_21_12455
GroupedDBID AAYXX
ALMA_UNASSIGNED_HOLDINGS
CITATION
KQ8
M~E
RNS
ID FETCH-LOGICAL-c895-d36a6555aea05129f8cf9ed87106f46f5a9634e580ad8418c22411657dbe13813
ISSN 2227-524X
IngestDate Tue Jul 01 02:15:09 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed false
IsScholarly true
Issue 2.21
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c895-d36a6555aea05129f8cf9ed87106f46f5a9634e580ad8418c22411657dbe13813
OpenAccessLink https://www.sciencepubco.com/index.php/ijet/article/viewFile/12455/6968
ParticipantIDs crossref_primary_10_14419_ijet_v7i2_21_12455
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2018-04-20
PublicationDateYYYYMMDD 2018-04-20
PublicationDate_xml – month: 04
  year: 2018
  text: 2018-04-20
  day: 20
PublicationDecade 2010
PublicationTitle International journal of engineering & technology (Dubai)
PublicationYear 2018
SSID ssj0001341849
Score 2.0263011
Snippet In today’s real world environment, information is the most critical element in all aspects of the life. It can be used to perform analysis and it helps to make...
SourceID crossref
SourceType Index Database
StartPage 414
Title Modified classic apriori algorithm for association rule mining
Volume 7
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT-MwELYKXOCAlpd47CIfuJWEPGw3vayElpeQyoWCuEWO7UCAtihKLhz2F-yP3pkkpC4gBFySykondebL-JupZ4aQPZ70Qq5U4gSRHzrM19zpG80cFWrhpbKfeCnGIQcX4uyKnd_wm07nn7VrqSwSVz2_m1fyHa3CGOgVs2S_oNlWKAzAZ9AvHEHDcPyUjgcTnaXIIRVyYKy8-pRnkzzrysdbOBV3o3qT5FQF3bx8NN1R1RXC5qWzgUGrnISZ1iusUFK0oXjkpkdlgu2srWAC3LSio23LrkMXE86Ku-xBzu5PzMa6nLny2u1e5lkuR_IB2943jZNP7biEH-FfLIE3NV-YZAtubr3_0jXvjDX2t2fBLHDrfOnGnLI6wfSNmQcOh2VSs3sDUnoZfssFolIX_J0tqv1qsWu3IKLzg2JiFBKjkDjw40rIHFkIwOlAqzn4a0XsYMGPKn-qnUZTxgrlHLz9MRbVsTjL8AdZbpwNelgjZ4V0zHiVLFklKNfI7xcM0QZDtMEQbTFEAUPUwhBFDNEaQ-tkeHI8_HPmND01HBX1uaNDIQXnXBrpIdVLI5XCuwlesydSJlIuwSAzwyNP6gimq5Dh-YL3dGJ8IHfhBpkfT8Zmk9A-Z7CQwquutcIqe4lWsHAyo7RgAtauLbL_Mvv4qa6cEn_w0Le_dvkOWZyC7ieZL_LS_AJ6WCS7ldb-A_GSZFU
linkProvider ISSN International Centre
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=Modified+classic+apriori+algorithm+for+association+rule+mining&rft.jtitle=International+journal+of+engineering+%26+technology+%28Dubai%29&rft.au=Anitha%2C+G&rft.au=A.+Karthika%2C+R&rft.au=Bindu%2C+G&rft.au=V.+Sriramakrishnan%2C+G&rft.date=2018-04-20&rft.issn=2227-524X&rft.eissn=2227-524X&rft.volume=7&rft.issue=2.21&rft.spage=414&rft_id=info:doi/10.14419%2Fijet.v7i2.21.12455&rft.externalDBID=n%2Fa&rft.externalDocID=10_14419_ijet_v7i2_21_12455
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2227-524X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2227-524X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2227-524X&client=summon