{"id":775,"date":"2018-10-11T13:30:14","date_gmt":"2018-10-11T13:30:14","guid":{"rendered":"http:\/\/scalab.dimes.unical.it\/marozzo\/?page_id=775"},"modified":"2021-12-12T23:21:46","modified_gmt":"2021-12-12T23:21:46","slug":"code","status":"publish","type":"page","link":"https:\/\/scalab.dimes.unical.it\/marozzo\/code\/","title":{"rendered":"Code"},"content":{"rendered":"<p>In the following, some research projects with the related repository of code:<\/p>\n<p>&nbsp;<\/p>\n<p><strong><em>P2P-MapReduce<\/em><\/strong>:\u00a0<a href=\"http:\/\/scalab.dimes.unical.it\/projects\/p2p-mapreduce\/\" target=\"_blank\" rel=\"noopener\">http:\/\/scalab.dimes.unical.it\/projects\/p2p-mapreduce\/<\/a><\/p>\n<p>How to cite: F. Marozzo, D. Talia, P. Trunfio, \"<a href=\"http:\/\/dx.doi.org\/10.1016\/j.jcss.2011.12.021\" target=\"_blank\" >P2P-MapReduce: Parallel data processing in dynamic Cloud environments<\/a>\". <i>Journal of Computer and System Sciences<\/i>, vol. 78, n. 5, pp. 1382--1402, Elsevier Science, 2012.  <a href=\"?bib=1&id=654\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/dwn.gif\" style=\"border-style:none;\"\/><\/a> <a href=\"http:\/\/scalab.dimes.unical.it\/papers\/pdf\/MarozzoTaliaTrunfioJCSS2012.pdf\" target=\"_blank\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/pdf.gif\" style=\"border-style:none;\"\/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><strong><em>G-RoI<\/em><\/strong>:\u00a0<a href=\"https:\/\/github.com\/SCAlabUnical\/G-RoI\" target=\"_blank\" rel=\"noopener\">https:\/\/github.com\/SCAlabUnical\/G-RoI<\/a><\/p>\n<p>How to cite: L. Belcastro, F. Marozzo, D. Talia, P. Trunfio, \"<a href=\"http:\/\/doi.acm.org\/10.1145\/3154411\" target=\"_blank\" >G-RoI: Automatic Region-of-Interest detection driven by geotagged social media data<\/a>\". <i>ACM Transactions on Knowledge Discovery from Data<\/i>, vol. 12, n. 3, pp. 27:1-27:22, 2018.  <a href=\"?bib=1&id=902\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/dwn.gif\" style=\"border-style:none;\"\/><\/a> <a href=\"http:\/\/scalab.dimes.unical.it\/pubadmin\/..\/papers\/pdf\/GRoI_TKDD-PrePrint.pdf\" target=\"_blank\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/pdf.gif\" style=\"border-style:none;\"\/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><b><i>GeoCon:<\/i><\/b>\u00a0<a href=\"https:\/\/github.com\/SCAlabUnical\/GeoCon\" target=\"_blank\" rel=\"noopener\">https:\/\/github.com\/SCAlabUnical\/GeoCon<\/a><\/p>\n<p>How to cite: L. Belcastro, G. Di Lieto, M. Lackovic, F. Marozzo, P. Trunfio, \"<a href=\"http:\/\/dx.doi.org\/10.1007\/978-3-319-49956-7_19\" target=\"_blank\" >Geocon: A Middleware for Location-aware Ubiquitous Applications<\/a>\". <i>Proc. of the First International Workshop on Ultrascale Computing for Early Researchers (UCER 2016)<\/i>, Granada, Spain, pp. 234-243, December 2016. <i>Note:  ISBN: 978-3-319-49956-7. <\/i> <a href=\"?bib=1&id=825\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/dwn.gif\" style=\"border-style:none;\"\/><\/a> <a href=\"http:\/\/gridlab.dimes.unical.it\/pubadmin\/..\/papers\/pdf\/2016-UCER-Geocon.pdf\" target=\"_blank\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/pdf.gif\" style=\"border-style:none;\"\/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><b><i>ParSoDA:<\/i><\/b>\u00a0<a href=\"https:\/\/github.com\/SCAlabUnical\/ParSoDA\" target=\"_blank\" rel=\"noopener\">https:\/\/github.com\/SCAlabUnical\/ParSoDA<\/a><\/p>\n<p>How to cite: L. Belcastro, F. Marozzo, D. Talia, P. Trunfio, \"<a href=\"http:\/\/dx.doi.org\/10.1109\/HPCS.2017.105\" target=\"_blank\" >A Parallel Library for Social Media Analytics<\/a>\". <i>The 2017 International Conference on High Performance Computing &amp; Simulation (HPCS 2017)<\/i>, Genoa, Italy, pp. 683--690, July 2017. <i>Note:  ISBN 978-1-5386-3250-5. <\/i> <a href=\"?bib=1&id=843\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/dwn.gif\" style=\"border-style:none;\"\/><\/a> <a href=\"http:\/\/scalab.dimes.unical.it\/pubadmin\/..\/papers\/pdf\/ParSoDA-HPCS2017-final-v2.pdf\" target=\"_blank\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/pdf.gif\" style=\"border-style:none;\"\/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><b><i>SEDOM-DD:<\/i><\/b>\u00a0<a href=\"https:\/\/github.com\/SCAlabUnical\/SEDOM-DD\" target=\"_blank\" rel=\"noopener\">https:\/\/github.com\/SCAlabUnical\/SEDOM-DD<\/a><\/p>\n<p>How to cite: L. Belcastro, F. Marozzo, D. Talia, P. Trunfio, F. Branda, T. Palpanas, M. Imran, \"<a href=\"https:\/\/doi.org\/10.1186\/s40537-021-00467-1\" target=\"_blank\" >Using Social Media for Sub-Event Detection during Disasters<\/a>\". <i>Journal of Big Data<\/i>, vol. 8, n. 79, 2021.  <a href=\"?bib=1&id=970\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/dwn.gif\" style=\"border-style:none;\"\/><\/a> <a href=\"http:\/\/scalab.dimes.unical.it\/pubadmin\/..\/papers\/pdf\/SocialMedia-disaster-JBD-online.pdf\" target=\"_blank\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/pdf.gif\" style=\"border-style:none;\"\/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><b><i>ADAGE:<\/i><\/b>\u00a0<a href=\"https:\/\/github.com\/SCAlabUnical\/ADAGE\" target=\"_blank\" rel=\"noopener\">https:\/\/github.com\/SCAlabUnical\/ADAGE<\/a><\/p>\n<p>How to cite: S. Giamp&Atilde;&nbsp;, L. Belcastro, F. Marozzo, D. Talia, P. Trunfio, \"<a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2021.3067815\" target=\"_blank\" >A data-aware scheduling strategy for executing large-scale distributed workflows<\/a>\". <i>IEEE Access<\/i>, vol. 9, pp. 47354-47364, 2021. <i>Note:  ISSN: 2169-3536. <\/i> <a href=\"?bib=1&id=965\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/dwn.gif\" style=\"border-style:none;\"\/><\/a> <a href=\"http:\/\/scalab.dimes.unical.it\/pubadmin\/..\/papers\/pdf\/ADAGE-preprint.pdf\" target=\"_blank\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/pdf.gif\" style=\"border-style:none;\"\/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><b><i>IIWM:<\/i><\/b>\u00a0<a href=\"https:\/\/github.com\/SCAlabUnical\/IIWM\" target=\"_blank\" rel=\"noopener\">https:\/\/github.com\/SCAlabUnical\/IIWM<\/a><\/p>\n<p>How to cite: R. Cantini, F. Marozzo, A. Orsino, D. Talia, P. Trunfio, \"<a href=\"https:\/\/dx.doi.org\/10.3390\/fi13050121\" target=\"_blank\" >Exploiting Machine Learning For Improving In-memory Execution of Data-intensive Workflows on Parallel Machines<\/a>\". <i>Future Internet<\/i>, vol. 13, n. 5, 2021.  <a href=\"?bib=1&id=969\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/dwn.gif\" style=\"border-style:none;\"\/><\/a> <a href=\"http:\/\/scalab.dimes.unical.it\/pubadmin\/..\/papers\/pdf\/IIWM-FutureInternet-2021.pdf\" target=\"_blank\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/pdf.gif\" style=\"border-style:none;\"\/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><b><i>IOM-NN:<\/i><\/b>\u00a0<a href=\"https:\/\/github.com\/SCAlabUnical\/IOM-NN\" target=\"_blank\" rel=\"noopener\">https:\/\/github.com\/SCAlabUnical\/IOM-NN<\/a><\/p>\n<p>How to cite: L. Belcastro, R. Cantini, F. Marozzo, D. Talia, P. Trunfio, \"<a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2020.2978950\" target=\"_blank\" >Learning Political Polarization on Social Media using Neural Networks<\/a>\". <i>IEEE Access<\/i>, vol. 8, n. 1, pp. 47177-47187, 2020.  <a href=\"?bib=1&id=949\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/dwn.gif\" style=\"border-style:none;\"\/><\/a> <a href=\"http:\/\/scalab.dimes.unical.it\/pubadmin\/..\/papers\/pdf\/IOM-NN_2020_IEEE_Access.pdf\" target=\"_blank\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/pdf.gif\" style=\"border-style:none;\"\/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><b><i>CompareDimensions:<\/i><\/b>\u00a0<a href=\"https:\/\/github.com\/SCAlabUnical\/CompareDimensions\" target=\"_blank\" rel=\"noopener\">https:\/\/github.com\/SCAlabUnical\/CompareDimensions<\/a><\/p>\n<p>How to cite: R. Cantini, F. Marozzo, A. Orsino, M. Passarelli, P. Trunfio, \"<a href=\"https:\/\/www.doi.org\/10.1109\/RTSI50628.2021.9597230\" target=\"_blank\" >A visual tool for reducing returns in e-commerce platforms<\/a>\". <i>6th International Research and Technologies for Society and Industry Innovation for a smart world (IEEE RTSI 2021)<\/i>, pp. 474-479, September 2021.  <a href=\"?bib=1&id=973\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/dwn.gif\" style=\"border-style:none;\"\/><\/a> <a href=\"http:\/\/scalab.dimes.unical.it\/pubadmin\/..\/papers\/pdf\/CompareDimensions-Ecommerce-ott.pdf\" target=\"_blank\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/pdf.gif\" style=\"border-style:none;\"\/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><b><i>AUDESOME:<\/i><\/b>\u00a0<a href=\"https:\/\/github.com\/SCAlabUnical\/AUDESOME\" target=\"_blank\" rel=\"noopener\">https:\/\/github.com\/SCAlabUnical\/AUDESOME<\/a><\/p>\n<p>How to cite: L. Belcastro, F. Marozzo, E. Perrella, \"<a href=\" https:\/\/doi.org\/10.1016\/j.eswa.2021.115733\" target=\"_blank\" >Automatic detection of user trajectories from social media posts<\/a>\". <i>Expert Systems with Applications<\/i>, vol. 186, pp. 115733, 2021.  <a href=\"?bib=1&id=974\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/dwn.gif\" style=\"border-style:none;\"\/><\/a> <a href=\"http:\/\/scalab.dimes.unical.it\/pubadmin\/..\/papers\/pdf\/AUDESOME_ESWA-preprint.pdf\" target=\"_blank\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/pdf.gif\" style=\"border-style:none;\"\/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><b><i>HASHET:<\/i><\/b>\u00a0<a href=\"https:\/\/github.com\/SCAlabUnical\/HASHET\" target=\"_blank\" rel=\"noopener\">https:\/\/github.com\/SCAlabUnical\/HASHET<\/a><\/p>\n<p>How to cite: R. Cantini, F. Marozzo, G. Bruno, P. Trunfio, \"<a href=\"https:\/\/doi.org\/10.1145\/3466876\" target=\"_blank\" >Learning sentence-to-hashtags semantic mapping for hashtag recommendation on microblogs<\/a>\". <i>ACM Transactions on Knowledge Discovery from Data<\/i>, vol. 16, n. 2, pp. 1-26, 2022.  <a href=\"?bib=1&id=971\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/dwn.gif\" style=\"border-style:none;\"\/><\/a> <a href=\"http:\/\/scalab.dimes.unical.it\/pubadmin\/..\/papers\/pdf\/HASHET_TKDD_online.pdf\" target=\"_blank\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/pdf.gif\" style=\"border-style:none;\"\/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><b><i>WABC:<\/i><\/b>\u00a0<a href=\"https:\/\/github.com\/SCAlabUnical\/WABC\" target=\"_blank\" rel=\"noopener\">https:\/\/github.com\/SCAlabUnical\/WABC<\/a><\/p>\n<p>How to cite: R. Cantini, F. Marozzo, S. Mazza, D. Talia, P. Trunfio, \"<a href=\"https:\/\/doi.org\/10.1016\/j.osnem.2021.100167\" target=\"_blank\" >A Weighted Artificial Bee Colony Algorithm for Influence Maximization<\/a>\". <i>Online Social Networks and Media<\/i>, vol. 26, pp. 100167, 2021.  <a href=\"?bib=1&id=977\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/dwn.gif\" style=\"border-style:none;\"\/><\/a> <a href=\"http:\/\/scalab.dimes.unical.it\/pubadmin\/..\/papers\/pdf\/WABC_OSNEM_preprint.pdf\" target=\"_blank\" ><img src=\"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-content\/plugins\/bibadminpubs\/images\/pdf.gif\" style=\"border-style:none;\"\/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the following, some research projects with the related repository of code: &nbsp; P2P-MapReduce:\u00a0http:\/\/scalab.dimes.unical.it\/projects\/p2p-mapreduce\/ How to cite: &nbsp; G-RoI:\u00a0https:\/\/github.com\/SCAlabUnical\/G-RoI How to cite: &nbsp; GeoCon:\u00a0https:\/\/github.com\/SCAlabUnical\/GeoCon How to cite: &nbsp; ParSoDA:\u00a0https:\/\/github.com\/SCAlabUnical\/ParSoDA How to cite: &nbsp; SEDOM-DD:\u00a0https:\/\/github.com\/SCAlabUnical\/SEDOM-DD How to cite: &nbsp; ADAGE:\u00a0https:\/\/github.com\/SCAlabUnical\/ADAGE How to cite: &nbsp; IIWM:\u00a0https:\/\/github.com\/SCAlabUnical\/IIWM How to cite: &nbsp; IOM-NN:\u00a0https:\/\/github.com\/SCAlabUnical\/IOM-NN How to cite: &nbsp; CompareDimensions:\u00a0https:\/\/github.com\/SCAlabUnical\/CompareDimensions How&#8230;<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-json\/wp\/v2\/pages\/775"}],"collection":[{"href":"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-json\/wp\/v2\/comments?post=775"}],"version-history":[{"count":9,"href":"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-json\/wp\/v2\/pages\/775\/revisions"}],"predecessor-version":[{"id":876,"href":"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-json\/wp\/v2\/pages\/775\/revisions\/876"}],"wp:attachment":[{"href":"https:\/\/scalab.dimes.unical.it\/marozzo\/wp-json\/wp\/v2\/media?parent=775"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}