{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,9]],"date-time":"2025-11-09T07:43:51Z","timestamp":1762674231372},"reference-count":20,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1109\/bigdata.2017.8258013","type":"proceedings-article","created":{"date-parts":[[2018,1,15]],"date-time":"2018-01-15T22:47:28Z","timestamp":1516056448000},"page":"942-947","source":"Crossref","is-referenced-by-count":6,"title":["AnyFI: An anytime frequent itemset mining algorithm for data streams"],"prefix":"10.1109","author":[{"given":"Poonam","family":"Goyal","sequence":"first","affiliation":[]},{"given":"Jagat Sesh","family":"Challa","sequence":"additional","affiliation":[]},{"given":"Shivin","family":"Shrivastava","sequence":"additional","affiliation":[]},{"given":"Navneet","family":"Goyal","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-31235-9_20"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2002.804793"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/170035.170072"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2003.05.013"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/69.846291"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1023\/B:DAMI.0000005258.31418.83"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.11.061"},{"journal-title":"Market-Basket Synthetic Data Generator","year":"0","key":"ref17"},{"journal-title":"Frequent Itemset Mining Dataset Repository","year":"0","key":"ref18"},{"journal-title":"Anonymous Web Data Data Set[DB\/OL]","year":"0","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-007-0112-4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2009.07.012"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2012.02.008"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2012.05.007"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2003653.2003659"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-010-0342-8"},{"key":"ref2","first-page":"191","article-title":"Mining Frequent Patterns in Data Streams at Multiple Time Granularities","author":"giannella","year":"2003","journal-title":"Data Mining Next Generation Challenges and Future Directions"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-155860869-6\/50038-X"},{"key":"ref9","first-page":"623","article-title":"Anytime classification using the nearest neighbor algorithm with applications to stream mining","author":"ueno","year":"2006","journal-title":"Proc IEEE Int Conf Data Mining ICDM"},{"journal-title":"Pattern Classification","year":"2000","author":"duda","key":"ref20"}],"event":{"name":"2017 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2017,12,11]]},"location":"Boston, MA","end":{"date-parts":[[2017,12,14]]}},"container-title":["2017 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8241556\/8257893\/08258013.pdf?arnumber=8258013","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,2,20]],"date-time":"2018-02-20T00:01:01Z","timestamp":1519084861000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8258013\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2017.8258013","relation":{},"subject":[],"published":{"date-parts":[[2017,12]]}}}