Open AccessImproved Isolation Forest Algorithm for Anomaly Test Data Detection
Author(s) -
XU Yu-peng,
Hao Dong,
Mingzhu Zhou,
Jun Xing,
Xiaohui Li,
Yu Jian
Publication year - 2021
Publication title -
journal of computer and communications
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2327-5227
pISSN - 2327-5219
DOI - 10.4236/jcc.2021.98004
Subject(s) - anomaly detection , cluster analysis , anomaly (physics) , computer science , identification (biology) , sample (material) , data mining , algorithm , isolation (microbiology) , pattern recognition (psychology) , artificial intelligence , physics , botany , chromatography , biology , microbiology and biotechnology , condensed matter physics , chemistry