{"id":33605,"date":"2019-04-27T00:11:33","date_gmt":"2019-04-26T22:11:33","guid":{"rendered":"http:\/\/cladag2019.unicas.it\/?page_id=33605"},"modified":"2023-11-08T18:28:12","modified_gmt":"2023-11-08T17:28:12","slug":"special-issue","status":"publish","type":"page","link":"https:\/\/www.statlab-unisa.it\/cladag2023\/special-issue\/","title":{"rendered":"Special issues"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Header&#8221; _builder_version=&#8221;4.16&#8243; background_color=&#8221;#f8fbfe&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_direction=&#8221;135deg&#8221; background_color_gradient_stops=&#8221;#fe5b48 0%|#b80572 100%&#8221; background_color_gradient_start=&#8221;#fe5b48&#8243; background_color_gradient_end=&#8221;#b80572&#8243; background_image=&#8221;http:\/\/cladag2019.unicas.it\/wp-content\/uploads\/2019\/02\/geometric-bg-overlay-01.jpg&#8221; background_blend=&#8221;overlay&#8221; custom_padding=&#8221;5%|0px|5%|0px|false|false&#8221; animation_style=&#8221;zoom&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_zoom=&#8221;8%&#8221; animation_starting_opacity=&#8221;100%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;2_3,1_3&#8243; _builder_version=&#8221;4.16&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;2_3&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.19.0&#8243; text_font=&#8221;Nunito Sans||||||||&#8221; text_text_color=&#8221;#ffffff&#8221; text_font_size=&#8221;18px&#8221; text_line_height=&#8221;1.8em&#8221; header_font=&#8221;Nunito Sans|700|||||||&#8221; header_font_size=&#8221;45px&#8221; header_line_height=&#8221;1.3em&#8221; header_2_font=&#8221;||||||||&#8221; text_orientation=&#8221;center&#8221; background_layout=&#8221;dark&#8221; max_width=&#8221;700px&#8221; module_alignment=&#8221;center&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1>Special Issues<\/h1>\n<p class=\"p1\" style=\"text-align: center;\">Both Oral and Poster Contributions at the Conference will be disseminated within the Scientific Community\u00a0through many publications.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_image src=&#8221;http:\/\/cladag2019.unicas.it\/wp-content\/uploads\/2018\/09\/language-school-illustration-30.png&#8221; align_tablet=&#8221;center&#8221; align_phone=&#8221;&#8221; align_last_edited=&#8221;on|desktop&#8221; _builder_version=&#8221;4.16&#8243; animation_style=&#8221;zoom&#8221; animation_direction=&#8221;left&#8221; animation_intensity_zoom=&#8221;5%&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;100px|0px|100px|0px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_4,3_4&#8243; disabled_on=&#8221;off|off|off&#8221; admin_label=&#8221;Right Sided Image&#8221; _builder_version=&#8221;4.19.0&#8243; custom_padding=&#8221;60px|0px|60px|0px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_image src=&#8221;https:\/\/www.statlab-unisa.it\/cladag2023\/wp-content\/uploads\/2023\/01\/adac.jpg&#8221; title_text=&#8221;adac&#8221; url=&#8221;https:\/\/onlinelibrary.wiley.com\/journal\/19321872&#8243; align_tablet=&#8221;center&#8221; align_phone=&#8221;&#8221; align_last_edited=&#8221;on|desktop&#8221; _builder_version=&#8221;4.19.0&#8243; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.19.0&#8243; text_font=&#8221;Nunito Sans||||||||&#8221; text_text_color=&#8221;#959baf&#8221; text_font_size=&#8221;18px&#8221; text_line_height=&#8221;1.8em&#8221; header_font=&#8221;||||||||&#8221; header_text_align=&#8221;left&#8221; header_2_font=&#8221;Nunito Sans|700|||||||&#8221; header_2_text_color=&#8221;#535b7c&#8221; header_2_font_size=&#8221;35px&#8221; header_2_line_height=&#8221;1.3em&#8221; max_width=&#8221;700px&#8221; module_alignment=&#8221;center&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Advances in Data Analysis and Classification<\/h2>\n<p class=\"p1\">Authors of papers presented at ClaDAG2023 may submit a full paper for possible publication in a special issue of the ADAC journal:<\/p>\n<p class=\"p1\" style=\"text-align: left;\">&#8220;<a href=\"https:\/\/www.springer.com\/journal\/11634\">Advances in Data Analysis and Classification: Theory, Methods, and Applications in Data Science<\/a>&#8220;<br \/>(Eds. Paolo Giordani, Christian Hennig, Julien Jacques, Carla Rampichini)<\/p>\n<p>The Special Issue aims at gathering selected papers in different areas related to new developments in clustering, classification and related methods. Topics of particular interest may include, but are not limited to:<br \/>&#8211; Clustering and classification for complex data (big data, multi-way data, etc.)<br \/>&#8211; Functional data analysis<br \/>&#8211; Latent variable modeling<br \/>&#8211; Machine learning and AI for clustering and classification<br \/>&#8211; Network analysis<br \/>&#8211; Robust modeling.<\/p>\n<p><strong>Submission:<\/strong><br \/>All manuscripts submitted to this Special Issue will undergo the classical double-blind reviewing process of the journal.<br \/>Manuscripts should be submitted using the \u201cSubmit manuscript\u201d button on the ADAC website <a href=\"https:\/\/www.springer.com\/journal\/11634\">https:\/\/www.springer.com\/journal\/11634<\/a>, leading to the electronic submission system of the journal.<br \/>Below the keywords, please write \u201cCLADAG 2023 SPECIAL ISSUE\u201d<\/p>\n<p><strong>Important dates:<\/strong><br \/><em>Submission of full papers for the Special Issue:<\/em> <strong>February 15, 2024<\/strong> (earlier submission is encouraged).<br \/><em>Notification to authors<\/em>: <strong>June 30, 2024<\/strong> (tentative).<br \/><em>Final papers<\/em>: <strong>September 30, 2024<\/strong> (tentative)<\/p>\n<p><a href=\"https:\/\/www.statlab-unisa.it\/cladag2023\/wp-content\/uploads\/2023\/11\/CfP_SI_CLADAG2023.pdf\">Dowload the call for paper<\/a><\/p>\n<p>[\/et_pb_text][et_pb_text disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.19.0&#8243; text_font=&#8221;Nunito Sans||||||||&#8221; text_text_color=&#8221;#959baf&#8221; text_font_size=&#8221;18px&#8221; text_line_height=&#8221;1.8em&#8221; header_font=&#8221;||||||||&#8221; header_text_align=&#8221;left&#8221; header_2_font=&#8221;Nunito Sans|700|||||||&#8221; header_2_text_color=&#8221;#535b7c&#8221; header_2_font_size=&#8221;35px&#8221; header_2_line_height=&#8221;1.3em&#8221; max_width=&#8221;700px&#8221; module_alignment=&#8221;center&#8221; disabled=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Statistical Analysis and Data Mining Special issue<\/h2>\n<p class=\"p1\">Best papers will be published on a special issue of the ASA journal:<\/p>\n<p class=\"p1\" style=\"text-align: center;\">&#8220;<a href=\"https:\/\/onlinelibrary.wiley.com\/journal\/19321872\">Statistical Analysis and Data Mining: The ASA Data Science Journal<\/a>&#8220;<\/p>\n<div dir=\"auto\"><span style=\"text-decoration: underline;\">Deadline<\/span>:\u00a0<b>January 14th, 2020<\/b>.<br \/> <span style=\"text-decoration: underline;\">Guest Editors<\/span>: Brendan Murhy, Francesca Greselin, Giovanni C Porzio, Domenico Vistocco.<\/div>\n<div dir=\"auto\"><\/div>\n<div dir=\"auto\"><\/div>\n<div dir=\"auto\">The special issue is planned by Fall 2020.<\/div>\n<div dir=\"auto\"><\/div>\n<div dir=\"auto\">Interested author(s) should submit their paper through the journal website, using the following steps:<\/div>\n<div dir=\"auto\"><\/div>\n<div dir=\"auto\"><\/div>\n<div dir=\"auto\"><\/div>\n<div dir=\"auto\"><\/div>\n<ul>\n<li dir=\"auto\">Sign up (new user) \/ log in (already registered user)<\/li>\n<li dir=\"auto\">in the &#8220;Step 1: Type, Title, &amp; Abstract&#8221; page, select &#8220;YES: CLADAG 2019 Special Issue&#8221; in answering the question &#8220;Is this submission for a special issue?\u201d<\/li>\n<\/ul>\n<div dir=\"auto\"><span style=\"text-decoration: underline;\"><strong>NOTE<\/strong><\/span>: authors must also inform the Guest Editors by writing an email to\u00a0<b><u><a href=\"mailto:cladag2019@unicas.it\" target=\"_blank\" rel=\"noopener noreferrer\">cladag2019@unicas.it<\/a><\/u><\/b>\u00a0so that they are facilitated in tracking your work.<\/div>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.19.0&#8243; _module_preset=&#8221;default&#8221; disabled=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.19.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1 style=\"text-align: center;\"><strong>Under construction<\/strong><\/h1>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Special Issues Both Oral and Poster Contributions at the Conference will be disseminated within the Scientific Community\u00a0through many publications.Advances in Data Analysis and Classification Authors of papers presented at ClaDAG2023 may submit a full paper for possible publication in a special issue of the ADAC journal: &#8220;Advances in Data Analysis and Classification: Theory, Methods, and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-33605","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Special issues - Cladag2023<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.statlab-unisa.it\/cladag2023\/special-issue\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Special issues - Cladag2023\" \/>\n<meta property=\"og:description\" content=\"Special Issues Both Oral and Poster Contributions at the 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