Online FP-growth
Online FP-growth je inkrementalno proširenje algoritma FP-growth koje rudari česte skupove stavki iz kontinuirano pristižućih tokova transakcija bez ponovne izgradnje punog FP-drveta od nule. On ažurira postojeću kompaktnu strukturu drveta kako nove transakcije pristižu, čineći ga pogodnim za okruženja sa podacima u realnom vremenu i visokom brzinom protoka, gde je pun sken baze podataka nepraktičan.
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Method map
The neighbourhood of related methods — select a node to explore.
Izvori
- Cheung, W. & Zaiane, O. R. (2004). Incremental Mining of Frequent Patterns Without Candidate Generation or Support Thr esholding. In Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), pp. 111–118. IEEE. link ↗
- Lee, G., Yun, U. & Ryu, K. H. (2014). Sliding window based weighted maximal frequent pattern mining over data streams. Expert Systems with Applications, 41(2), 694–708. DOI: 10.1016/j.eswa.2013.07.094 ↗
Kako citirati ovu stranicu
ScholarGate. (2026, June 3). Online Frequent Pattern Growth (Incremental FP-tree Mining). ScholarGate. https://scholargate.app/sr/machine-learning/online-fp-growth
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- FP-Rast (Rast čestih obrazaca)Mašinsko učenje↔ compare
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