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Search: "[ keyword: Stream Data Mining ]" (2)
Mining Association Rules in Multidimensional Stream Data
Kim Dae-In, Park Joon, Kim Hong-Ki, Hwang Bu-Hyun The KIPS Transactions:PartD,
Vol. 13, No. 6, pp. 765-774,
Oct.
2006
http://dx.doi.org/10.3745/KIPSTD.2006.13D.6.765
Keywords: StreAm Data, Stream Data Mining, Association Rule, Significant Rare Itemsets, Maximal Frequent Itemsets
http://dx.doi.org/10.3745/KIPSTD.2006.13D.6.765
Keywords: StreAm Data, Stream Data Mining, Association Rule, Significant Rare Itemsets, Maximal Frequent Itemsets
A Technique for Detecting Companion Groups from Trajectory Data Streams
Suhyun Kang, Ki Yong Lee KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 12, pp. 473-482,
Dec.
2019
10.3745/KTSDE.2019.8.12.473
Keywords: Trajectory Data Stream, Companion Groups Detection, Stream Data Mining
10.3745/KTSDE.2019.8.12.473
Keywords: Trajectory Data Stream, Companion Groups Detection, Stream Data Mining
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Vol. 13, 2024
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Vol. 12, 2023
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Vol. 11, 2022
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Vol. 10, 2021
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Vol. 9, 2020
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Vol. 8, 2019
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Vol. 7, 2018
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Vol. 6, 2017
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Vol. 3, 2014
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Vol. 2, 2013
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Vol. 1, 2012
Old Journals
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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).
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