Anomalies yog cov qauv ntawm cov ntaub ntawv sib txawv hauv cov ntaub ntawv muab, whereas Outliers tsuas yog cov ntsiab lus tseem ceeb hauv cov ntaub ntawv. Yog tias tsis sib sau ua ke kom tsim nyog, kev tsis sib haum xeeb yuav raug tsis saib xyuas raws li qhov tsis zoo. Anomalies tuaj yeem piav qhia los ntawm ob peb nta (tej zaum yuav yog cov yam ntxwv tshiab).
Puas yog qhov tsis txaus ntseeg?
Outlier=cov ntaub ntawv raug cai uas nyob deb ntawm qhov nruab nrab lossis nruab nrab hauv kev faib khoom … txawv daim ntawv thov domains. Tshwj xeeb, kev tsis sib haum xeeb thiab kev tawm tsam feem ntau yog siv sib hloov.
Dab tsi yog suav tias yog anomalies?
ib qho kev sib txawv ntawm txoj cai, hom, kev npaj, lossis daim ntawv.ib tug anomalous neeg los yog yam khoom; ib yam uas txawv txav lossis tsis haum rau: Nrog nws tus kheej nyob ntsiag to, nws yog ib qho txawv txav hauv nws tsev neeg exuberant. Ib qho txawv, txawv, lossis txawv txawv, qhov xwm txheej, qhov zoo, thiab lwm yam kev tsis sib haum xeeb lossis tsis sib xws.
Koj paub qhov kev kuaj pom qhov tsis txaus ntseeg thiab qhov tawm li cas?
DBScan yog pawg algorithm uas tau siv cov ntaub ntawv hauv pawg. Nws tseem raug siv los ua qhov ntom ntom-raws li txoj kev kuaj pom kev ua kom zoo nrog cov txheej txheem ib qho lossis ntau lossis ntau cov ntaub ntawv. Lwm cov kev sib koom ua ke xws li k-txhais tau tias thiab hierarchal pawg kuj tuaj yeem siv los txheeb xyuas qhov tsis sib xws.
Dab tsi yog qhov tsis txaus ntseeg hauv kev txheeb cais?
Nyob rau hauv cov ntaub ntawv tsom xam, anomaly detection (kuj outlier detection) yog qhov kev txheeb xyuas ntawm cov khoom tsis tshua muaj, xwm txheej lossis kev soj ntsuam uas ua rau muaj kev xav tsis thoob los ntawm qhov sib txawv ntawm feem ntau ntawm cov ntaub ntawv … Anomalies tseem hu ua outliers, novelties, suab nrov, deviations thiab zam.
