Simulation framework for travel trajectory generation and mobile transaction modeling
In recent years, Location-Based Services (LBSs) have received a lot of attentions due to a wide range of potential applications. In such mobile applications and services, the travel recommendation system is one of popular LBSs for mobile users. More and more research studies focus on discovering of...
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 | 118 |
|---|---|
| container_issue | |
| container_start_page | 115 |
| container_title | |
| container_volume | |
| creator | Lu, E. H-C Ying, J. J-C Huan-Sheng Chen Lin, K. W. Tseng, V. S. Huan-Wen Tsai Kuang Hung Cheng Shun-Chieh Lin |
| description | In recent years, Location-Based Services (LBSs) have received a lot of attentions due to a wide range of potential applications. In such mobile applications and services, the travel recommendation system is one of popular LBSs for mobile users. More and more research studies focus on discovering of various kinds of mobile patterns from various mobile databases. In which, one of popular research issues is mining of the travel trajectory patterns from mobile travel trajectory databases. Mining travel knowledge from travel trajectory data benefits for supporting of an intelligent travel recommendation system. However, it is not easy to obtain the real travel trajectory data for mobile users since the problem of personal privacy. To develop a travel trajectory data generator is very useful for the research communities on mobile travel behavior mining. In this paper, we present a simulation framework to generate mobile travel trajectory data based on the statistics and observations of real travel information. In the simulation model, we generate not only the travel trajectories for mobile users but also the mobile transactions for each arrived attraction according to the reasonable probability designs. |
| doi_str_mv | 10.1109/ISIC.2012.6449721 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6449721</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6449721</ieee_id><sourcerecordid>6449721</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-7feeebd3328f8e82146c84f1c03587e32f72325c67072e63b55e2ef85948e793</originalsourceid><addsrcrecordid>eNpVkM1qwzAQhFVKoCX1A5Re_AJ2pZX1dyymP4ZAD0nOQbZXQaltFdltydvXaXLpaZhhdvhYQu4ZzRmj5rFaV2UOlEEui8IoYFckMUqzQioOQmu4_ueVuCHJOB4opfO5BCNuyXbt-6_OTj4MqYu2x58QP1IXYjpF-43dSQ7YTCEe0z0OGM9VO7RpH2rf4akwjLb5i_vQYueH_R1ZONuNmFx0STYvz5vyLVu9v1bl0yrzTIkpUw4R65Zz0E6jhhm00YVjDeUzLXJwCmbwRiqqACWvhUBAp4UpNCrDl-ThPOvnnd1n9L2Nx93lF_wXh65TRA</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Simulation framework for travel trajectory generation and mobile transaction modeling</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Lu, E. H-C ; Ying, J. J-C ; Huan-Sheng Chen ; Lin, K. W. ; Tseng, V. S. ; Huan-Wen Tsai ; Kuang Hung Cheng ; Shun-Chieh Lin</creator><creatorcontrib>Lu, E. H-C ; Ying, J. J-C ; Huan-Sheng Chen ; Lin, K. W. ; Tseng, V. S. ; Huan-Wen Tsai ; Kuang Hung Cheng ; Shun-Chieh Lin</creatorcontrib><description>In recent years, Location-Based Services (LBSs) have received a lot of attentions due to a wide range of potential applications. In such mobile applications and services, the travel recommendation system is one of popular LBSs for mobile users. More and more research studies focus on discovering of various kinds of mobile patterns from various mobile databases. In which, one of popular research issues is mining of the travel trajectory patterns from mobile travel trajectory databases. Mining travel knowledge from travel trajectory data benefits for supporting of an intelligent travel recommendation system. However, it is not easy to obtain the real travel trajectory data for mobile users since the problem of personal privacy. To develop a travel trajectory data generator is very useful for the research communities on mobile travel behavior mining. In this paper, we present a simulation framework to generate mobile travel trajectory data based on the statistics and observations of real travel information. In the simulation model, we generate not only the travel trajectories for mobile users but also the mobile transactions for each arrived attraction according to the reasonable probability designs.</description><identifier>ISBN: 9781467325875</identifier><identifier>ISBN: 1467325872</identifier><identifier>EISBN: 9781467325882</identifier><identifier>EISBN: 9781467325868</identifier><identifier>EISBN: 1467325864</identifier><identifier>EISBN: 1467325880</identifier><identifier>DOI: 10.1109/ISIC.2012.6449721</identifier><language>eng</language><publisher>IEEE</publisher><subject>Buildings ; Data Genertor ; Data mining ; Data models ; Mobile communication ; Mobile computing ; Semantics ; Simulation Model ; Trajectory ; Utility</subject><ispartof>2012 International Conference on Information Security and Intelligent Control, 2012, p.115-118</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/6449721$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6449721$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Lu, E. H-C</creatorcontrib><creatorcontrib>Ying, J. J-C</creatorcontrib><creatorcontrib>Huan-Sheng Chen</creatorcontrib><creatorcontrib>Lin, K. W.</creatorcontrib><creatorcontrib>Tseng, V. S.</creatorcontrib><creatorcontrib>Huan-Wen Tsai</creatorcontrib><creatorcontrib>Kuang Hung Cheng</creatorcontrib><creatorcontrib>Shun-Chieh Lin</creatorcontrib><title>Simulation framework for travel trajectory generation and mobile transaction modeling</title><title>2012 International Conference on Information Security and Intelligent Control</title><addtitle>ISIC</addtitle><description>In recent years, Location-Based Services (LBSs) have received a lot of attentions due to a wide range of potential applications. In such mobile applications and services, the travel recommendation system is one of popular LBSs for mobile users. More and more research studies focus on discovering of various kinds of mobile patterns from various mobile databases. In which, one of popular research issues is mining of the travel trajectory patterns from mobile travel trajectory databases. Mining travel knowledge from travel trajectory data benefits for supporting of an intelligent travel recommendation system. However, it is not easy to obtain the real travel trajectory data for mobile users since the problem of personal privacy. To develop a travel trajectory data generator is very useful for the research communities on mobile travel behavior mining. In this paper, we present a simulation framework to generate mobile travel trajectory data based on the statistics and observations of real travel information. In the simulation model, we generate not only the travel trajectories for mobile users but also the mobile transactions for each arrived attraction according to the reasonable probability designs.</description><subject>Buildings</subject><subject>Data Genertor</subject><subject>Data mining</subject><subject>Data models</subject><subject>Mobile communication</subject><subject>Mobile computing</subject><subject>Semantics</subject><subject>Simulation Model</subject><subject>Trajectory</subject><subject>Utility</subject><isbn>9781467325875</isbn><isbn>1467325872</isbn><isbn>9781467325882</isbn><isbn>9781467325868</isbn><isbn>1467325864</isbn><isbn>1467325880</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkM1qwzAQhFVKoCX1A5Re_AJ2pZX1dyymP4ZAD0nOQbZXQaltFdltydvXaXLpaZhhdvhYQu4ZzRmj5rFaV2UOlEEui8IoYFckMUqzQioOQmu4_ueVuCHJOB4opfO5BCNuyXbt-6_OTj4MqYu2x58QP1IXYjpF-43dSQ7YTCEe0z0OGM9VO7RpH2rf4akwjLb5i_vQYueH_R1ZONuNmFx0STYvz5vyLVu9v1bl0yrzTIkpUw4R65Zz0E6jhhm00YVjDeUzLXJwCmbwRiqqACWvhUBAp4UpNCrDl-ThPOvnnd1n9L2Nx93lF_wXh65TRA</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>Lu, E. H-C</creator><creator>Ying, J. J-C</creator><creator>Huan-Sheng Chen</creator><creator>Lin, K. W.</creator><creator>Tseng, V. S.</creator><creator>Huan-Wen Tsai</creator><creator>Kuang Hung Cheng</creator><creator>Shun-Chieh Lin</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>Simulation framework for travel trajectory generation and mobile transaction modeling</title><author>Lu, E. H-C ; Ying, J. J-C ; Huan-Sheng Chen ; Lin, K. W. ; Tseng, V. S. ; Huan-Wen Tsai ; Kuang Hung Cheng ; Shun-Chieh Lin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-7feeebd3328f8e82146c84f1c03587e32f72325c67072e63b55e2ef85948e793</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Buildings</topic><topic>Data Genertor</topic><topic>Data mining</topic><topic>Data models</topic><topic>Mobile communication</topic><topic>Mobile computing</topic><topic>Semantics</topic><topic>Simulation Model</topic><topic>Trajectory</topic><topic>Utility</topic><toplevel>online_resources</toplevel><creatorcontrib>Lu, E. H-C</creatorcontrib><creatorcontrib>Ying, J. J-C</creatorcontrib><creatorcontrib>Huan-Sheng Chen</creatorcontrib><creatorcontrib>Lin, K. W.</creatorcontrib><creatorcontrib>Tseng, V. S.</creatorcontrib><creatorcontrib>Huan-Wen Tsai</creatorcontrib><creatorcontrib>Kuang Hung Cheng</creatorcontrib><creatorcontrib>Shun-Chieh Lin</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>Lu, E. H-C</au><au>Ying, J. J-C</au><au>Huan-Sheng Chen</au><au>Lin, K. W.</au><au>Tseng, V. S.</au><au>Huan-Wen Tsai</au><au>Kuang Hung Cheng</au><au>Shun-Chieh Lin</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Simulation framework for travel trajectory generation and mobile transaction modeling</atitle><btitle>2012 International Conference on Information Security and Intelligent Control</btitle><stitle>ISIC</stitle><date>2012-08</date><risdate>2012</risdate><spage>115</spage><epage>118</epage><pages>115-118</pages><isbn>9781467325875</isbn><isbn>1467325872</isbn><eisbn>9781467325882</eisbn><eisbn>9781467325868</eisbn><eisbn>1467325864</eisbn><eisbn>1467325880</eisbn><abstract>In recent years, Location-Based Services (LBSs) have received a lot of attentions due to a wide range of potential applications. In such mobile applications and services, the travel recommendation system is one of popular LBSs for mobile users. More and more research studies focus on discovering of various kinds of mobile patterns from various mobile databases. In which, one of popular research issues is mining of the travel trajectory patterns from mobile travel trajectory databases. Mining travel knowledge from travel trajectory data benefits for supporting of an intelligent travel recommendation system. However, it is not easy to obtain the real travel trajectory data for mobile users since the problem of personal privacy. To develop a travel trajectory data generator is very useful for the research communities on mobile travel behavior mining. In this paper, we present a simulation framework to generate mobile travel trajectory data based on the statistics and observations of real travel information. In the simulation model, we generate not only the travel trajectories for mobile users but also the mobile transactions for each arrived attraction according to the reasonable probability designs.</abstract><pub>IEEE</pub><doi>10.1109/ISIC.2012.6449721</doi><tpages>4</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 9781467325875 |
| ispartof | 2012 International Conference on Information Security and Intelligent Control, 2012, p.115-118 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_6449721 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Buildings Data Genertor Data mining Data models Mobile communication Mobile computing Semantics Simulation Model Trajectory Utility |
| title | Simulation framework for travel trajectory generation and mobile transaction modeling |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T07%3A15%3A54IST&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=Simulation%20framework%20for%20travel%20trajectory%20generation%20and%20mobile%20transaction%20modeling&rft.btitle=2012%20International%20Conference%20on%20Information%20Security%20and%20Intelligent%20Control&rft.au=Lu,%20E.%20H-C&rft.date=2012-08&rft.spage=115&rft.epage=118&rft.pages=115-118&rft.isbn=9781467325875&rft.isbn_list=1467325872&rft_id=info:doi/10.1109/ISIC.2012.6449721&rft_dat=%3Cieee_6IE%3E6449721%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781467325882&rft.eisbn_list=9781467325868&rft.eisbn_list=1467325864&rft.eisbn_list=1467325880&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6449721&rfr_iscdi=true |