{"id":113,"date":"2014-11-21T19:04:10","date_gmt":"2014-11-21T18:04:10","guid":{"rendered":"http:\/\/convegni.unica.it\/cladag2015\/?page_id=113"},"modified":"2014-12-10T12:50:21","modified_gmt":"2014-12-10T11:50:21","slug":"conference-themes","status":"publish","type":"page","link":"https:\/\/convegni.unica.it\/cladag2015\/conference-themes\/","title":{"rendered":"Conference Themes"},"content":{"rendered":"<p>The list of topics includes, but is not limited to, the following:<\/p>\n<p><strong><span style=\"color: #ff0000\"><em>A &#8211; Classification Theory<br \/>\n<\/em><\/span><\/strong>Bayesian Classification \u2013Biplots \u2013 Clustering models &#8211; Consensus of Classifications &#8211; Correspondence Analysis \u2013 Discrimination and Classification &#8211; Factor Analysis and Dimension Reduction Methods &#8211; Fuzzy Methods \u2013Genetic Algorithms \u2013Hierarchical Classification &#8211; Multidimensional Scaling &#8211; Multiway Scaling &#8211; Multiway Methods &#8211; Neural Networks for Classification \u2013 Non Hierarchical Classification\u2013 Similarities and Dissimilarities \u2013Software algorithms for classification &#8211; Unfolding and Related Scaling Methods<\/p>\n<p><strong><span style=\"color: #ff0000\"><em>B &#8211; \u00a0Data Analysis<br \/>\n<\/em><\/span><\/strong>Bayesian data Analysis \u2013 Big data analysis- Categorical Data Analysis \u2013 Covariance Structure Analysis \u2013 Data Mining \u2013 Data Science \u2013Data Visualization \u2013 Decision Trees \u2013 Functional data analysis &#8211; Mixture and Latent Class Models &#8211; Multilevel data Analysis \u2013 Non Linear Data Analysis \u2013 Nonparametric and Semiparametric Regression &#8211; Partial Least Squares \u2013 Pattern recognition &#8211; Robustness and Data Diagnostics &#8211; Social networks- Software algorithms for multivariate analysis &#8211; Spatial Data Analysis \u2013 Symbolic Data Analysis.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The list of topics includes, but is not limited to, the following: A &#8211; Classification Theory Bayesian Classification \u2013Biplots \u2013 Clustering models &#8211; Consensus of Classifications &#8211; Correspondence Analysis \u2013 Discrimination and Classification &#8211; Factor Analysis and Dimension Reduction Methods &#8211; Fuzzy Methods \u2013Genetic Algorithms \u2013Hierarchical Classification &#8211; Multidimensional Scaling &#8211; Multiway Scaling &#8211; Multiway <a href='https:\/\/convegni.unica.it\/cladag2015\/conference-themes\/' class='excerpt-more'>[&#8230;]<\/a><\/p>\n","protected":false},"author":1858,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-113","page","type-page","status-publish","hentry","post-seq-1","post-parity-odd","meta-position-corners","fix"],"_links":{"self":[{"href":"https:\/\/convegni.unica.it\/cladag2015\/wp-json\/wp\/v2\/pages\/113","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convegni.unica.it\/cladag2015\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/convegni.unica.it\/cladag2015\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/convegni.unica.it\/cladag2015\/wp-json\/wp\/v2\/users\/1858"}],"replies":[{"embeddable":true,"href":"https:\/\/convegni.unica.it\/cladag2015\/wp-json\/wp\/v2\/comments?post=113"}],"version-history":[{"count":6,"href":"https:\/\/convegni.unica.it\/cladag2015\/wp-json\/wp\/v2\/pages\/113\/revisions"}],"predecessor-version":[{"id":217,"href":"https:\/\/convegni.unica.it\/cladag2015\/wp-json\/wp\/v2\/pages\/113\/revisions\/217"}],"wp:attachment":[{"href":"https:\/\/convegni.unica.it\/cladag2015\/wp-json\/wp\/v2\/media?parent=113"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}