{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:31:24Z","timestamp":1772119884460,"version":"3.50.1"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the Peoples Republic of China","doi-asserted-by":"publisher","award":["2018AAA0100503, 2020AAA0107400"],"award-info":[{"award-number":["2018AAA0100503, 2020AAA0107400"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Parallel Distrib. Syst."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tpds.2021.3133544","type":"journal-article","created":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T20:53:11Z","timestamp":1639083191000},"page":"1-1","source":"Crossref","is-referenced-by-count":14,"title":["BLB-gcForest: A High-Performance Distributed Deep Forest with Adaptive sub-Forest Splitting"],"prefix":"10.1109","author":[{"given":"Zexi","family":"Chen","sequence":"first","affiliation":[]},{"given":"Ting","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Haibin","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Subrota Kumar","family":"Mondal","sequence":"additional","affiliation":[]},{"given":"Jyoti Prakash","family":"Sahoo","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2016.2603511"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2019.05.001"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12050"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59889-1_7"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11749-016-0481-7"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1613\/jair.2470"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3342241"},{"key":"ref16","article-title":"Multi-label learning with deep forest","volume":"abs 1911 6557","author":"yang","year":"2019","journal-title":"CoRR"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.10.006"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296816"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00158"},{"key":"ref28","first-page":"22","article-title":"Mobile big data analytics using deep learning and apache spark","volume":"30","author":"tan","year":"2016","journal-title":"IEEE Netw Mag Comput Commun"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1201\/9780429027918-21"},{"key":"ref27","first-page":"1","article-title":"Hadoop: The definitive guide","volume":"215","author":"white","year":"2012","journal-title":"O&#x2019;rlly Media Inc Gravenstn Highway North"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2502081.2508128"},{"key":"ref6","article-title":"cuDNN: Efficient primitives for deep learning","author":"chetlur","year":"2014","journal-title":"CoRR"},{"key":"ref29","article-title":"Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing","author":"zaharia","year":"2012","journal-title":"Proc Usenix Conf Netw Syst Des Implementation"},{"key":"ref5","first-page":"1","article-title":"Scalable big data computing for the personalization of machine learned models and its application to automatic speech recognition service","author":"hoon","year":"2014","journal-title":"Proc IEEE Int Conf Big Data"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-015-0030-3"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/nsr\/nwy108"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3129395"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2017.11.010"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2017.11.011"},{"key":"ref20","first-page":"561","article-title":"Ray: A distributed framework for emerging AI applications","author":"moritz","year":"2018","journal-title":"Proc USENIX Symp Oper Syst Des Implementation"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.bdr.2017.07.003"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/SNPD.2014.6888693"},{"key":"ref24","first-page":"225","article-title":"An adaptive feature selection method for multi-class classification","author":"xu","year":"2012","journal-title":"Proc Int Conf Inf Fusion"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1214\/15-AOS1321"},{"key":"ref26","article-title":"Rangepartitioner - spark 2.1.0 scaladoc","year":"2021","journal-title":"Apache SPARK"},{"key":"ref25","article-title":"Spark: Cluster computing with working sets","author":"zaharia","year":"2010","journal-title":"Proc USENIX Conf Hot Topics Cloud Comput"}],"container-title":["IEEE Transactions on Parallel and Distributed Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/71\/4359390\/09645202.pdf?arnumber=9645202","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,26]],"date-time":"2022-05-26T16:02:06Z","timestamp":1653580926000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9645202\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/tpds.2021.3133544","relation":{},"ISSN":["1045-9219","1558-2183","2161-9883"],"issn-type":[{"value":"1045-9219","type":"print"},{"value":"1558-2183","type":"electronic"},{"value":"2161-9883","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}