Digital Library
Search: "[ keyword: Pruning ]" (3)
Finding Frequent Itemsets based on Open Data Mining in Data Streams
Joong Hyuk Chang , Won Suk Lee The KIPS Transactions:PartD,
Vol. 10, No. 3, pp. 447-458,
Jun.
2003
10.3745/KIPSTD.2003.10.3.447
10.3745/KIPSTD.2003.10.3.447
Mining High Utility Sequential Patterns Using Sequence Utility Lists
Jong Soo Park KIPS Transactions on Software and Data Engineering,
Vol. 7, No. 2, pp. 51-62,
Feb.
2018
10.3745/KTSDE.2018.7.2.51
Keywords: High Utility Sequential Pattern Mining, Sequence Utility List, Candidate Pattern Pruning
10.3745/KTSDE.2018.7.2.51
Keywords: High Utility Sequential Pattern Mining, Sequence Utility List, Candidate Pattern Pruning
An Efficient Angular Space Partitioning Based Skyline Query Processing Using Sampling-Based Pruning
Woosung Choi, Minseok Kim, Gromyko Diana, Jaehwa Chung, Soonyong Jung KIPS Transactions on Software and Data Engineering,
Vol. 6, No. 1, pp. 1-8,
Jan.
2017
10.3745/KTSDE.2017.6.1.1
Keywords: Skyline Computation, MapReduce, Pruning, Data Sampling
10.3745/KTSDE.2017.6.1.1
Keywords: Skyline Computation, MapReduce, Pruning, Data Sampling
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Publications
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Vol. 13, 2024
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Vol. 12, 2023
- Vol. 12, No. 12 (Dec. 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. 5, 2016
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Vol. 4, 2015
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Vol. 3, 2014
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Vol. 2, 2013
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Vol. 1, 2012
Old Journals
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).