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Semi-supervised FP-growth

Semi-supervised FP-growth huongeza mbinu ya kawaida ya Frequent Pattern growth kwa kujumuisha lebo za sehemu, vikwazo vilivyofafanuliwa na mtumiaji, au taarifa za ngazi ya darasa ili kuongoza ugunduzi wa vipande vya vitu mara kwa mara. Badala ya kuchimba ruwaza zote bila kubagua, inalenga ruwaza ambazo ni mara kwa mara kwa takwimu na pia zina maana kwa maana kutokana na ishara ya usimamizi inayopatikana.

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Vyanzo

  1. Han, J., Pei, J., & Yin, Y. (2000). Mining frequent patterns without candidate generation. Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 1–12. DOI: 10.1145/342009.335372
  2. FP-growth algorithm. Wikipedia. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Semi-supervised Frequent Pattern Growth. ScholarGate. https://scholargate.app/sw/machine-learning/semi-supervised-fp-growth

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Imerejelewa na

ScholarGateSemi-supervised FP-growth (Semi-supervised Frequent Pattern Growth). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/machine-learning/semi-supervised-fp-growth · Seti ya data: https://doi.org/10.5281/zenodo.20539026