{"id":1044,"date":"2021-08-27T12:31:18","date_gmt":"2021-08-27T10:31:18","guid":{"rendered":"https:\/\/dbdmg.polito.it\/dbdmg_web\/index.php\/publications\/a-parallel-mapreduce-algorithm-to-efficiently-support-itemset-mining-on-high-dimensional-data\/"},"modified":"2023-03-08T11:27:47","modified_gmt":"2023-03-08T10:27:47","slug":"a-parallel-mapreduce-algorithm-to-efficiently-support-itemset-mining-on-high-dimensional-data","status":"publish","type":"publications","link":"https:\/\/dbdmg.polito.it\/dbdmg_web\/publications\/a-parallel-mapreduce-algorithm-to-efficiently-support-itemset-mining-on-high-dimensional-data\/","title":{"rendered":"A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data"},"content":{"rendered":"","protected":false},"template":"","class_list":["post-1044","publications","type-publications","status-publish","hentry"],"pubtitle":"A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data","citation":"A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data \/ Apiletti, Daniele; Baralis, Elena; Cerquitelli, Tania; Garza, Paolo; Pulvirenti, Fabio; Michiardi, Pietro. - In: BIG DATA RESEARCH. - ISSN 2214-5796. - 10:(2017), pp. 53-69. [10.1016\/j.bdr.2017.10.004]","authors":[929,924,925,927],"pub_year":"2017","url":"http:\/\/hdl.handle.net\/11583\/2693039","full_authors":"Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Pietro Michiardi","venue":"BIG DATA RESEARCH","pages":"53","isbn":"ISSN: 2214-5796","_links":{"self":[{"href":"https:\/\/dbdmg.polito.it\/dbdmg_web\/wp-json\/wp\/v2\/publications\/1044","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dbdmg.polito.it\/dbdmg_web\/wp-json\/wp\/v2\/publications"}],"about":[{"href":"https:\/\/dbdmg.polito.it\/dbdmg_web\/wp-json\/wp\/v2\/types\/publications"}],"wp:attachment":[{"href":"https:\/\/dbdmg.polito.it\/dbdmg_web\/wp-json\/wp\/v2\/media?parent=1044"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}