A layered approach to link analysis and visualization of event data

This paper presents a layered approach to analysis and visualization of associations from events. The proposed approach provides different levels of abstraction for aggregating and analyzing events from heterogeneous data sources by using lists and customizable functions. Interfaces for creating lis...

Full description

Saved in:
Bibliographic Details
Main Authors: Yain-Whar Si, Se-Hang Cheong, Fong, Simon, Biuk-Aghai, Robert P., Cheong, Tat-Man
Format: Conference Proceeding
Language:English
Subjects:
association visualization
criminal network
Data mining
Data visualization
Diseases
Educational institutions
event mining
Java
link analysis
Terrorism
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 185
container_issue
container_start_page 181
container_title
container_volume
creator Yain-Whar Si
Se-Hang Cheong
Fong, Simon
Biuk-Aghai, Robert P.
Cheong, Tat-Man
description This paper presents a layered approach to analysis and visualization of associations from events. The proposed approach provides different levels of abstraction for aggregating and analyzing events from heterogeneous data sources by using lists and customizable functions. Interfaces for creating lists and functions are also implemented for different levels of users. The effectiveness of the proposed approach is demonstrated through examples from criminal network analysis area.
doi_str_mv 10.1109/ICDIM.2012.6360101
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6360101</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6360101</ieee_id><sourcerecordid>6360101</sourcerecordid><originalsourceid>FETCH-LOGICAL-i1341-6b326437aa4c8afa100c68f5c2f9c8e6a17a971fff4330ad692e62f8fd5b4e073</originalsourceid><addsrcrecordid>eNpNj81OwzAQhI0QEqjkBeDiF0jYtV3bOVbhp5GKuMC52iZrYQhJFIdK5empRA_MZb65fNIIcYNQIEJ5V1f39XOhAFVhtQUEPBNZ6Twa67QyGsz5_608XoospQ84xqNHh1eiWsmODjxxK2kcp4GadzkPsov9p6SeukOK6Qit3Mf0TV38oTkOvRyC5D33s2xppmtxEahLnJ16Id4eH16rdb55eaqr1SaPqA3mdqeVNdoRmcZTIARorA_LRoWy8WwJHZUOQwhGa6DWloqtCj60y51hcHohbv-8kZm34xS_aDpsT9f1L3-cTCw</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>A layered approach to link analysis and visualization of event data</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Yain-Whar Si ; Se-Hang Cheong ; Fong, Simon ; Biuk-Aghai, Robert P. ; Cheong, Tat-Man</creator><creatorcontrib>Yain-Whar Si ; Se-Hang Cheong ; Fong, Simon ; Biuk-Aghai, Robert P. ; Cheong, Tat-Man</creatorcontrib><description>This paper presents a layered approach to analysis and visualization of associations from events. The proposed approach provides different levels of abstraction for aggregating and analyzing events from heterogeneous data sources by using lists and customizable functions. Interfaces for creating lists and functions are also implemented for different levels of users. The effectiveness of the proposed approach is demonstrated through examples from criminal network analysis area.</description><identifier>ISBN: 9781467324281</identifier><identifier>ISBN: 1467324280</identifier><identifier>EISBN: 9781467324304</identifier><identifier>EISBN: 1467324299</identifier><identifier>EISBN: 9781467324298</identifier><identifier>EISBN: 1467324302</identifier><identifier>DOI: 10.1109/ICDIM.2012.6360101</identifier><language>eng</language><publisher>IEEE</publisher><subject>association visualization ; criminal network ; Data mining ; Data visualization ; Diseases ; Educational institutions ; event mining ; Java ; link analysis ; Terrorism</subject><ispartof>Seventh International Conference on Digital Information Management (ICDIM 2012), 2012, p.181-185</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6360101$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6360101$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yain-Whar Si</creatorcontrib><creatorcontrib>Se-Hang Cheong</creatorcontrib><creatorcontrib>Fong, Simon</creatorcontrib><creatorcontrib>Biuk-Aghai, Robert P.</creatorcontrib><creatorcontrib>Cheong, Tat-Man</creatorcontrib><title>A layered approach to link analysis and visualization of event data</title><title>Seventh International Conference on Digital Information Management (ICDIM 2012)</title><addtitle>ICDIM</addtitle><description>This paper presents a layered approach to analysis and visualization of associations from events. The proposed approach provides different levels of abstraction for aggregating and analyzing events from heterogeneous data sources by using lists and customizable functions. Interfaces for creating lists and functions are also implemented for different levels of users. The effectiveness of the proposed approach is demonstrated through examples from criminal network analysis area.</description><subject>association visualization</subject><subject>criminal network</subject><subject>Data mining</subject><subject>Data visualization</subject><subject>Diseases</subject><subject>Educational institutions</subject><subject>event mining</subject><subject>Java</subject><subject>link analysis</subject><subject>Terrorism</subject><isbn>9781467324281</isbn><isbn>1467324280</isbn><isbn>9781467324304</isbn><isbn>1467324299</isbn><isbn>9781467324298</isbn><isbn>1467324302</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpNj81OwzAQhI0QEqjkBeDiF0jYtV3bOVbhp5GKuMC52iZrYQhJFIdK5empRA_MZb65fNIIcYNQIEJ5V1f39XOhAFVhtQUEPBNZ6Twa67QyGsz5_608XoospQ84xqNHh1eiWsmODjxxK2kcp4GadzkPsov9p6SeukOK6Qit3Mf0TV38oTkOvRyC5D33s2xppmtxEahLnJ16Id4eH16rdb55eaqr1SaPqA3mdqeVNdoRmcZTIARorA_LRoWy8WwJHZUOQwhGa6DWloqtCj60y51hcHohbv-8kZm34xS_aDpsT9f1L3-cTCw</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>Yain-Whar Si</creator><creator>Se-Hang Cheong</creator><creator>Fong, Simon</creator><creator>Biuk-Aghai, Robert P.</creator><creator>Cheong, Tat-Man</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201208</creationdate><title>A layered approach to link analysis and visualization of event data</title><author>Yain-Whar Si ; Se-Hang Cheong ; Fong, Simon ; Biuk-Aghai, Robert P. ; Cheong, Tat-Man</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1341-6b326437aa4c8afa100c68f5c2f9c8e6a17a971fff4330ad692e62f8fd5b4e073</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>association visualization</topic><topic>criminal network</topic><topic>Data mining</topic><topic>Data visualization</topic><topic>Diseases</topic><topic>Educational institutions</topic><topic>event mining</topic><topic>Java</topic><topic>link analysis</topic><topic>Terrorism</topic><toplevel>online_resources</toplevel><creatorcontrib>Yain-Whar Si</creatorcontrib><creatorcontrib>Se-Hang Cheong</creatorcontrib><creatorcontrib>Fong, Simon</creatorcontrib><creatorcontrib>Biuk-Aghai, Robert P.</creatorcontrib><creatorcontrib>Cheong, Tat-Man</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 Xplore</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>Yain-Whar Si</au><au>Se-Hang Cheong</au><au>Fong, Simon</au><au>Biuk-Aghai, Robert P.</au><au>Cheong, Tat-Man</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A layered approach to link analysis and visualization of event data</atitle><btitle>Seventh International Conference on Digital Information Management (ICDIM 2012)</btitle><stitle>ICDIM</stitle><date>2012-08</date><risdate>2012</risdate><spage>181</spage><epage>185</epage><pages>181-185</pages><isbn>9781467324281</isbn><isbn>1467324280</isbn><eisbn>9781467324304</eisbn><eisbn>1467324299</eisbn><eisbn>9781467324298</eisbn><eisbn>1467324302</eisbn><abstract>This paper presents a layered approach to analysis and visualization of associations from events. The proposed approach provides different levels of abstraction for aggregating and analyzing events from heterogeneous data sources by using lists and customizable functions. Interfaces for creating lists and functions are also implemented for different levels of users. The effectiveness of the proposed approach is demonstrated through examples from criminal network analysis area.</abstract><pub>IEEE</pub><doi>10.1109/ICDIM.2012.6360101</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 9781467324281
ispartof Seventh International Conference on Digital Information Management (ICDIM 2012), 2012, p.181-185
issn
language eng
recordid cdi_ieee_primary_6360101
source IEEE Electronic Library (IEL) Conference Proceedings
subjects association visualization
criminal network
Data mining
Data visualization
Diseases
Educational institutions
event mining
Java
link analysis
Terrorism
title A layered approach to link analysis and visualization of event data
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T17%3A56%3A24IST&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=A%20layered%20approach%20to%20link%20analysis%20and%20visualization%20of%20event%20data&rft.btitle=Seventh%20International%20Conference%20on%20Digital%20Information%20Management%20(ICDIM%202012)&rft.au=Yain-Whar%20Si&rft.date=2012-08&rft.spage=181&rft.epage=185&rft.pages=181-185&rft.isbn=9781467324281&rft.isbn_list=1467324280&rft_id=info:doi/10.1109/ICDIM.2012.6360101&rft.eisbn=9781467324304&rft.eisbn_list=1467324299&rft.eisbn_list=9781467324298&rft.eisbn_list=1467324302&rft_dat=%3Cieee_6IE%3E6360101%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i1341-6b326437aa4c8afa100c68f5c2f9c8e6a17a971fff4330ad692e62f8fd5b4e073%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6360101&rfr_iscdi=true