Discovering Skyline Periodic Itemset Patterns in Transaction Sequences
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-46661-8_33
Reference18 articles.
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2. Tanbeer, S.K., Ahmed, C.F., Jeong, B.S., Lee, Y.: Discovering periodic-frequent patterns in transactional databases. In: PAKDD, pp. 242–253 (2009)
3. Kiran, R.U., Saideep, C., Zettsu, K., Toyoda, M., Kitsuregawa, M., Reddy, P.K.: Discovering partial periodic spatial patterns in spatiotemporal databases. In: IEEE International Conference on Big Data, pp. 233–238 (2019)
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5. Chen, G., Li, Z.: Discovering periodic cluster patterns in event sequence databases. Appl. Intell. 52(13), 15387–15404 (2022)
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1. An Efficient Bit-Based Approach for Mining Skyline Periodic Itemset Patterns;Electronics;2023-12-03
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