ScholarGate
Msaidizi
Machine learning

Isolation Forest

Isolation Forest ni njia ya kujifunza mashine isiyo na usimamizi kwa ajili ya kugundua uhalifu na vikwazo, iliyoanzishwa na Liu, Ting na Zhou mwaka 2008, ambayo hutenga vikwazo kupitia kugawanywa kwa data kwa nasibu. Inafanya kazi bila data yoyote ya uhalifu yenye lebo na huongezeka kwa seti za data zenye vipimo vingi.

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Vyanzo

  1. Liu, F.T., Ting, K.M. & Zhou, Z.-H. (2008). Isolation Forest. IEEE ICDM, 413–422. DOI: 10.1109/ICDM.2008.17

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Isolation Forest (Anomaly Detection via Random Partitioning). ScholarGate. https://scholargate.app/sw/machine-learning/isolation-forest

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.

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Imerejelewa na

ScholarGateIsolation Forest (Isolation Forest (Anomaly Detection via Random Partitioning)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/machine-learning/isolation-forest · Seti ya data: https://doi.org/10.5281/zenodo.20539026