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Search: "[ keyword: FP-Tree ]" (4)
An Extended Frequent Pattern Tree for Hiding Sensitive Frequent Itemsets
Dan Young Lee , Hyoung Geun An , Jae Jin Koh The KIPS Transactions:PartD,
Vol. 18, No. 3, pp. 169-178,
Jun.
2011
10.3745/KIPSTD.2011.18.3.169
10.3745/KIPSTD.2011.18.3.169
PPFP(Push and Pop Frequent Pattern Mining): A Novel Frequent Pattern Mining Method for Bigdata Frequent Pattern Mining
Lee Jung-Hun, Min Youn-A KIPS Transactions on Software and Data Engineering,
Vol. 5, No. 12, pp. 623-634,
Dec.
2016
10.3745/KTSDE.2016.5.12.623
Keywords: Big Data Mining, Frequent Pattern Mining
10.3745/KTSDE.2016.5.12.623
Keywords: Big Data Mining, Frequent Pattern Mining
Mining Search Keywords for Improving the Accuracy of Entity Search
Lee Sun Ku, On Byung-Won, Jung Soo-Mok KIPS Transactions on Software and Data Engineering,
Vol. 5, No. 9, pp. 451-464,
Sep.
2016
10.3745/KTSDE.2016.5.9.451
Keywords: Entity Search, FP-Tree, Query, frequency
10.3745/KTSDE.2016.5.9.451
Keywords: Entity Search, FP-Tree, Query, frequency
Intersection Rule Based FP-tree
Jung Hun Lee KIPS Transactions on Software and Data Engineering,
Vol. 5, No. 3, pp. 155-164,
Mar.
2016
10.3745/KTSDE.2016.5.3.155
10.3745/KTSDE.2016.5.3.155
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Vol. 1, 2012
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Indexing
All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).