Visual interface for online watching of frequent itemset generation in Apriori and Eclat
This paper describes an interactive graphical user interface tool called Visual Apriori that can be used to study two famous frequent itemset generation algorithms, namely, Apriori and Eclat. Understanding the functional behavior of these two algorithms is critical for students taking a data mining...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | 6 pp. |
| container_title | |
| container_volume | |
| creator | Mahanti, A. Alhajj, R. |
| description | This paper describes an interactive graphical user interface tool called Visual Apriori that can be used to study two famous frequent itemset generation algorithms, namely, Apriori and Eclat. Understanding the functional behavior of these two algorithms is critical for students taking a data mining course; and Visual Apriori provides a hands-on environment for doing so. Visual Apriori relies on active participation from the user, where one inputs a transactional database and the tool produces a tree-based frequent itemset generation animation for the algorithm chosen. Visual Apriori provides an effortless learning experience by featuring user-friendly and easy to understand controls. |
| doi_str_mv | 10.1109/ICMLA.2005.68 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_1607482</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1607482</ieee_id><sourcerecordid>1607482</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-59ade5f24675cbc183083e4ad840e33503c1d8083476813fec0c4f988c61afa43</originalsourceid><addsrcrecordid>eNotjk1LxDAURQMiKGOXrtzkD7QmzfeylFEHRtyouBue6csY6aSaZhD_vQXnbi4cuIdLyDVnDefM3W76x23XtIypRtszUjljmdFOtdIpdUGqef5kS4RTutWX5O01zkcYaUwFcwCPNEyZTmmMCekPFP8R055OgYaM30dMhcaChxkL3WPCDCVOaRnT7ivHKUcKaaBrP0K5IucBxhmrU6_Iy936uX-ot0_3m77b1pEbVWrlYEAVWqmN8u-eW8GsQAmDlQyFUEx4PtiFSaMtFwE98zI4a73mEECKFbn590ZE3C0vDpB_d1wzI20r_gA3p1At</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Visual interface for online watching of frequent itemset generation in Apriori and Eclat</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Mahanti, A. ; Alhajj, R.</creator><creatorcontrib>Mahanti, A. ; Alhajj, R.</creatorcontrib><description>This paper describes an interactive graphical user interface tool called Visual Apriori that can be used to study two famous frequent itemset generation algorithms, namely, Apriori and Eclat. Understanding the functional behavior of these two algorithms is critical for students taking a data mining course; and Visual Apriori provides a hands-on environment for doing so. Visual Apriori relies on active participation from the user, where one inputs a transactional database and the tool produces a tree-based frequent itemset generation animation for the algorithm chosen. Visual Apriori provides an effortless learning experience by featuring user-friendly and easy to understand controls.</description><identifier>ISBN: 9780769524955</identifier><identifier>ISBN: 0769524958</identifier><identifier>DOI: 10.1109/ICMLA.2005.68</identifier><language>eng</language><publisher>IEEE</publisher><subject>Animation ; Apriori ; Association rules ; Computer science ; Data mining ; Eclat ; frequent itemset generation ; Graphical user interfaces ; Itemsets ; Spatial databases ; Transaction databases ; Tree graphs ; Visual Apriori ; Visual databases</subject><ispartof>Fourth International Conference on Machine Learning and Applications (ICMLA'05), 2005, p.6 pp.</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1607482$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1607482$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Mahanti, A.</creatorcontrib><creatorcontrib>Alhajj, R.</creatorcontrib><title>Visual interface for online watching of frequent itemset generation in Apriori and Eclat</title><title>Fourth International Conference on Machine Learning and Applications (ICMLA'05)</title><addtitle>ICMLA</addtitle><description>This paper describes an interactive graphical user interface tool called Visual Apriori that can be used to study two famous frequent itemset generation algorithms, namely, Apriori and Eclat. Understanding the functional behavior of these two algorithms is critical for students taking a data mining course; and Visual Apriori provides a hands-on environment for doing so. Visual Apriori relies on active participation from the user, where one inputs a transactional database and the tool produces a tree-based frequent itemset generation animation for the algorithm chosen. Visual Apriori provides an effortless learning experience by featuring user-friendly and easy to understand controls.</description><subject>Animation</subject><subject>Apriori</subject><subject>Association rules</subject><subject>Computer science</subject><subject>Data mining</subject><subject>Eclat</subject><subject>frequent itemset generation</subject><subject>Graphical user interfaces</subject><subject>Itemsets</subject><subject>Spatial databases</subject><subject>Transaction databases</subject><subject>Tree graphs</subject><subject>Visual Apriori</subject><subject>Visual databases</subject><isbn>9780769524955</isbn><isbn>0769524958</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjk1LxDAURQMiKGOXrtzkD7QmzfeylFEHRtyouBue6csY6aSaZhD_vQXnbi4cuIdLyDVnDefM3W76x23XtIypRtszUjljmdFOtdIpdUGqef5kS4RTutWX5O01zkcYaUwFcwCPNEyZTmmMCekPFP8R055OgYaM30dMhcaChxkL3WPCDCVOaRnT7ivHKUcKaaBrP0K5IucBxhmrU6_Iy936uX-ot0_3m77b1pEbVWrlYEAVWqmN8u-eW8GsQAmDlQyFUEx4PtiFSaMtFwE98zI4a73mEECKFbn590ZE3C0vDpB_d1wzI20r_gA3p1At</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Mahanti, A.</creator><creator>Alhajj, R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2005</creationdate><title>Visual interface for online watching of frequent itemset generation in Apriori and Eclat</title><author>Mahanti, A. ; Alhajj, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-59ade5f24675cbc183083e4ad840e33503c1d8083476813fec0c4f988c61afa43</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Animation</topic><topic>Apriori</topic><topic>Association rules</topic><topic>Computer science</topic><topic>Data mining</topic><topic>Eclat</topic><topic>frequent itemset generation</topic><topic>Graphical user interfaces</topic><topic>Itemsets</topic><topic>Spatial databases</topic><topic>Transaction databases</topic><topic>Tree graphs</topic><topic>Visual Apriori</topic><topic>Visual databases</topic><toplevel>online_resources</toplevel><creatorcontrib>Mahanti, A.</creatorcontrib><creatorcontrib>Alhajj, R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mahanti, A.</au><au>Alhajj, R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Visual interface for online watching of frequent itemset generation in Apriori and Eclat</atitle><btitle>Fourth International Conference on Machine Learning and Applications (ICMLA'05)</btitle><stitle>ICMLA</stitle><date>2005</date><risdate>2005</risdate><spage>6 pp.</spage><pages>6 pp.-</pages><isbn>9780769524955</isbn><isbn>0769524958</isbn><abstract>This paper describes an interactive graphical user interface tool called Visual Apriori that can be used to study two famous frequent itemset generation algorithms, namely, Apriori and Eclat. Understanding the functional behavior of these two algorithms is critical for students taking a data mining course; and Visual Apriori provides a hands-on environment for doing so. Visual Apriori relies on active participation from the user, where one inputs a transactional database and the tool produces a tree-based frequent itemset generation animation for the algorithm chosen. Visual Apriori provides an effortless learning experience by featuring user-friendly and easy to understand controls.</abstract><pub>IEEE</pub><doi>10.1109/ICMLA.2005.68</doi></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 9780769524955 |
| ispartof | Fourth International Conference on Machine Learning and Applications (ICMLA'05), 2005, p.6 pp. |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_1607482 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Animation Apriori Association rules Computer science Data mining Eclat frequent itemset generation Graphical user interfaces Itemsets Spatial databases Transaction databases Tree graphs Visual Apriori Visual databases |
| title | Visual interface for online watching of frequent itemset generation in Apriori and Eclat |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T10%3A45%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Visual%20interface%20for%20online%20watching%20of%20frequent%20itemset%20generation%20in%20Apriori%20and%20Eclat&rft.btitle=Fourth%20International%20Conference%20on%20Machine%20Learning%20and%20Applications%20(ICMLA'05)&rft.au=Mahanti,%20A.&rft.date=2005&rft.spage=6%20pp.&rft.pages=6%20pp.-&rft.isbn=9780769524955&rft.isbn_list=0769524958&rft_id=info:doi/10.1109/ICMLA.2005.68&rft_dat=%3Cieee_6IE%3E1607482%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1607482&rfr_iscdi=true |