{"id":53278,"date":"2019-11-28T00:00:00","date_gmt":"2019-11-27T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/9-podhodov-dlya-vyyavleniya-anomalij"},"modified":"2020-02-18T14:01:10","modified_gmt":"2020-02-18T11:01:10","slug":"9-podhodov-dlya-vyyavleniya-anomalij","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/news\/9-podhodov-dlya-vyyavleniya-anomalij","title":{"rendered":"9 qasje p\u00ebr identifikimin e anomalive","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

N\u00eb artikulli i m\u00ebparsh\u00ebm<\/a><\/noindex> Kemi folur p\u00ebr parashikimin e radh\u00ebve temporale. Nj\u00eb vazhdim logjik do t\u00eb ishte nj\u00eb artikull p\u00ebr identifikimin e anomalive. <\/p>\n

P\u00ebrdorimi<\/h3>\n

\nIdentifikimi i anomalive p\u00ebrdoret n\u00eb fusha t\u00eb tilla si: <\/p>\n

1) Parashikimi i defekteve n\u00eb pajisje<\/h3>\n

\nP\u00ebr shembull, n\u00eb vitin 2010, centrifugat e Iranit u sulmuan nga virusi Stuxnet, i cili vendosi nj\u00eb mod t\u00eb pap\u00ebrshtatsh\u00ebm t\u00eb pun\u00ebs p\u00ebr pajisjet dhe shkat\u00ebrroi nj\u00eb pjes\u00eb t\u00eb pajisjeve p\u00ebr shkak t\u00eb konsumit t\u00eb p\u00ebrshpejtuar. <\/p>\n

N\u00ebse n\u00eb pajisje do t\u00eb p\u00ebrdorej algoritme p\u00ebr gjetjen e anomalive, situatat e prishjes mund t\u00eb ishin evituar. <\/p>\n

\"9
\n<\/a><\/noindex>
\nGjetja e anomalive n\u00eb funksionimin e pajisjeve p\u00ebrdoret jo vet\u00ebm n\u00eb industrin\u00eb b\u00ebrthamore, por edhe n\u00eb metalurgji dhe n\u00eb pun\u00ebn e turbinave avjative. Edhe n\u00eb fusha t\u00eb tjera ku p\u00ebrdorimi i diagnostik\u00ebs parashikuese \u00ebsht\u00eb m\u00eb i lir\u00eb se humbjet e mundshme nga prishjet e paparashikuara.<\/p>\n

2) Parashikimi i veprimeve mashtruese<\/h3>\n

\nN\u00ebse paraja nga karta q\u00eb po p\u00ebrdorni n\u00eb Podolsk po hiqet n\u00eb Shqip\u00ebri, ndoshta duhet verifikuar m\u00eb tej transaksioni.<\/p>\n

3) Identifikimi i modeleve anomale t\u00eb konsumit<\/h3>\n

\nN\u00ebse disa klient\u00eb tregojn\u00eb sjellje anomale, ndoshta ka nj\u00eb problem q\u00eb nuk e dini.<\/p>\n

4) Identifikimi i k\u00ebrkes\u00ebs dhe ngarkes\u00ebs anomale<\/h3>\n

\nN\u00ebse shitjet n\u00eb nj\u00eb dyqan FMCG bien n\u00ebn kufirin e intervalit besueshm\u00ebris\u00eb t\u00eb parashikimit, vlen t\u00eb gjeni shkakun e ndodhis\u00eb.<\/p>\n

Qasjet p\u00ebr identifikimin e anomalive<\/h2>\n

<\/p>\n

1) Metoda e vektor\u00ebve mb\u00ebshtet\u00ebs me nj\u00eb klas\u00eb One-Class SVM<\/h3>\n

\nP\u00ebrputhet kur t\u00eb dh\u00ebnat n\u00eb setin e trajnimit i p\u00ebrkasin shp\u00ebrndarjes normale, nd\u00ebrsa ato n\u00eb testim p\u00ebrmbajn\u00eb anomali.<\/p>\n

Metoda e nj\u00eb klas\u00eb t\u00eb vektor\u00ebve mb\u00ebshtet\u00ebs ndryn nj\u00eb sip\u00ebrfaqe jo linjare rreth origjin\u00ebs. Mund t\u00eb caktohet nj\u00eb kufi prer\u00ebs p\u00ebr t\u00eb caktuar cilat t\u00eb dh\u00ebna konsiderohen anomale.<\/p>\n

Sipas p\u00ebrvoj\u00ebs s\u00eb ekipit ton\u00eb DATA4, One-Class SVM \u00ebsht\u00eb algoritmi m\u00eb i p\u00ebrdorur p\u00ebr zgjidhjen e problemit t\u00eb gjetjes s\u00eb anomalive. <\/p>\n

\"9
\n<\/p>\n

2) Metoda e pyllit izoluese \u2013 isolate forest<\/h3>\n

\nMe m\u00ebnyr\u00ebn \"rast\u00ebsore\" t\u00eb nd\u00ebrtimit t\u00eb pem\u00ebve, jasht\u00ebzakonisht do t\u00eb bien n\u00eb gjethe n\u00eb fazat e hershme (n\u00eb thell\u00ebsi t\u00eb vog\u00ebl t\u00eb pem\u00ebs), dmth. jasht\u00ebzakonisht \u00ebsht\u00eb m\u00eb e leht\u00eb \"t\u00eb izolohet\". Identifikimi i vlerave anomale ndodhi n\u00eb iteracionet e para t\u00eb pun\u00ebs s\u00eb algoritmit.<\/p>\n

\"9
\n<\/p>\n

3) Mbulesa eliptike dhe metodat statistike<\/h3>\n

\nP\u00ebrdoret kur t\u00eb dh\u00ebnat jan\u00eb t\u00eb shp\u00ebrndara normalisht. Sa m\u00eb af\u00ebr q\u00eb \u00ebsht\u00eb matja te bishti i kombinimit t\u00eb shp\u00ebrndarjeve, aq m\u00eb anomale \u00ebsht\u00eb vlera.<\/p>\n

Ky k\u00ebtij klasi i p\u00ebrkasin edhe metoda t\u00eb tjera statistike.<\/p>\n

\"9
\n
\n\"9
\nImazhi nga faqja dyakonov.org<\/i><\/p>\n

4) Metodat metrik\u00eb<\/h3>\n

\nMetodat p\u00ebrfshijn\u00eb algoritme si k fqinj\u00ebt m\u00eb t\u00eb af\u00ebrt, k fqinj\u00ebt m\u00eb t\u00eb af\u00ebrt, ABOD (detectimi i anomalis\u00eb me k\u00ebnd) ose LOF (faktori lokal i anomalis\u00eb).<\/p>\n

Jan\u00eb t\u00eb p\u00ebrshtatshme, n\u00ebse distanca midis vlerave n\u00eb karakteristika \u00ebsht\u00eb e barabart\u00eb ose e normalizuar (p\u00ebr t\u00eb mos e matur pitonin n\u00eb papagaj\u00eb). <\/p>\n

Algoritmi i k fqinj\u00ebve m\u00eb t\u00eb af\u00ebrt supozon se vlerat normale ndodhen n\u00eb nj\u00eb zon\u00eb t\u00eb caktuar t\u00eb hap\u00ebsir\u00ebs shum\u00eb dimensional, dhe distanca deri te anomali do t\u00eb jet\u00eb m\u00eb e madhe se distanca deri te hiperpanta ndar\u00ebse. <\/p>\n

\"9
\n<\/p>\n

5) Metodat e grumbullimit<\/h3>\n

\nThelbi i metodave t\u00eb grumbullimit \u00ebsht\u00eb se n\u00ebse nj\u00eb vler\u00eb \u00ebsht\u00eb e larguar nga qendrat e grumbujve n\u00eb nj\u00eb mas\u00eb t\u00eb caktuar, ajo konsiderohet si anomali. <\/p>\n

E r\u00ebnd\u00ebsishme \u00ebsht\u00eb t\u00eb p\u00ebrdorim algoritmin q\u00eb grumbullon t\u00eb dh\u00ebnat n\u00eb m\u00ebnyr\u00eb t\u00eb sakt\u00eb, e cila varet nga detyra specifike. <\/p>\n

\"9
\n<\/p>\n

6) Metoda e komponenteve kryesore<\/h3>\n

\nP\u00ebrshtatet aty ku identifikohen drejtime t\u00eb ndryshimeve m\u00eb t\u00eb m\u00ebdha t\u00eb dispersis\u00eb.<\/p>\n

7) Algoritmet e bazuara n\u00eb parashikimin e serive temporale<\/h3>\n

\nIdeja \u00ebsht\u00eb se, n\u00ebse nj\u00eb vler\u00eb del nga intervali i besueshm\u00ebris\u00eb s\u00eb parashikimit, ajo konsiderohet anomali. P\u00ebr parashikimin e seris\u00eb temporale p\u00ebrdoren algoritme si zbutja e trefisht\u00eb, S(ARIMA), boosting etj.<\/p>\n

P\u00ebr algoritmet e parashikimit t\u00eb serive temporale \u00ebsht\u00eb folur n\u00eb artikullin e m\u00ebparsh\u00ebm.<\/p>\n

\"9
\n<\/p>\n

8) M\u00ebsim me mbik\u00ebqyrje (regresioni, klasifikimi)<\/h3>\n

\nN\u00ebse t\u00eb dh\u00ebnat lejojn\u00eb, p\u00ebrdorim algoritme nga regresioni linear deri te rrjetet rekurrente. Do t\u00eb masim diferenc\u00ebn midis parashikimit dhe vler\u00ebs aktuale dhe do t\u00eb nxjerrim p\u00ebrfundimin se sa t\u00eb dh\u00ebnat dalin nga norma. E r\u00ebnd\u00ebsishme \u00ebsht\u00eb q\u00eb algoritmi t\u00eb ket\u00eb kapacitet t\u00eb mjaftuesh\u00ebm p\u00ebr t'u p\u00ebrgjigjur dhe q\u00eb p\u00ebrzgjedhja e t\u00eb dh\u00ebnave p\u00ebr trajnim t\u00eb mos p\u00ebrmbaj\u00eb vlera anomali.<\/p>\n

9) Testet modeluese<\/h3>\n

\nT\u00eb drejtohemi n\u00eb problemin e gjetjes s\u00eb anomalis\u00eb si n\u00eb k\u00ebrkimin e rekomandimeve. T\u00eb shp\u00ebrndajm\u00eb matric\u00ebn ton\u00eb t\u00eb karakteristikave me SVD ose makinat e faktor\u00ebve, dhe vlerat n\u00eb matric\u00ebn e re, q\u00eb ndryshojn\u00eb ndjesh\u00ebm nga ato fillestare, t'i pranojm\u00eb si anomali. <\/p>\n

\"9
\n
\nImazhi nga faqja dyakonov.org<\/i><\/p>\n

P\u00ebrfundim<\/h3>\n

\nN\u00eb k\u00ebt\u00eb artikull shqyrtuam qasjet kryesore p\u00ebr zbrazjen e anomalis\u00eb. <\/p>\n

K\u00ebrkimi i anomalis\u00eb mund t\u00eb quhet nj\u00eb art. Nuk ka nj\u00eb algorit\u00ebm t\u00eb p\u00ebrsosur ose qasje q\u00eb zgjidh t\u00eb gjitha problemet. M\u00eb s\u00eb shpeshti p\u00ebrdoren komplekse metodash p\u00ebr t\u00eb zgjidhur raste specifike. K\u00ebrkimi i anomalis\u00eb realizohet p\u00ebrmes metodave t\u00eb mb\u00ebshtetjes unike, pyllit izoluese, metodave metrikore dhe klasifikatore, si dhe duke p\u00ebrdorur komponent\u00ebt kryesor\u00eb dhe parashikimin e serive temporale.<\/p>\n

N\u00ebse dini metoda t\u00eb tjera, ju lutemi shkruani p\u00ebr to n\u00eb komentet e artikullit.
\n
Burimi: habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u0412 \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0435\u0439 \u0441\u0442\u0430\u0442\u044c\u0435 \u043c\u044b \u0433\u043e\u0432\u043e\u0440\u0438\u043b\u0438 \u043e \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0438 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u044f\u0434\u043e\u0432. \u041b\u043e\u0433\u0438\u0447\u043d\u044b\u043c \u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0435\u043d\u0438\u0435\u043c \u0431\u0443\u0434\u0435\u0442 \u0441\u0442\u0430\u0442\u044c\u044f \u043e \u0432\u044b\u044f\u0432\u043b\u0435\u043d\u0438\u0438 \u0430\u043d\u043e\u043c\u0430\u043b\u0438\u0439. \u041f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435 \u0412\u044b\u044f\u0432\u043b\u0435\u043d\u0438\u0435 \u0430\u043d\u043e\u043c\u0430\u043b\u0438\u0439 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0441\u044f \u0432 \u0442\u0430\u043a\u0438\u0445 \u043e\u0431\u043b\u0430\u0441\u0442\u044f\u0445 \u043a\u0430\u043a: 1) \u041f\u0440\u0435\u0434\u0441\u043a\u0430\u0437\u0430\u043d\u0438\u0435 \u043f\u043e\u043b\u043e\u043c\u043e\u043a \u043e\u0431\u043e\u0440\u0443\u0434\u043e\u0432\u0430\u043d\u0438\u044f \u0422\u0430\u043a, \u0432 2010 \u0433\u043e\u0434\u0443 \u0418\u0440\u0430\u043d\u0441\u043a\u0438\u0435 \u0446\u0435\u043d\u0442\u0440\u0438\u0444\u0443\u0433\u0438 \u0431\u044b\u043b\u0438 \u0430\u0442\u0430\u043a\u043e\u0432\u0430\u043d\u044b \u0432\u0438\u0440\u0443\u0441\u043e\u043c Stuxnet, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0437\u0430\u0434\u0430\u043b \u043d\u0435\u043e\u043f\u0442\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u0439 \u0440\u0435\u0436\u0438\u043c \u0440\u0430\u0431\u043e\u0442\u044b \u043e\u0431\u043e\u0440\u0443\u0434\u043e\u0432\u0430\u043d\u0438\u044f \u0438 \u0432\u044b\u0432\u0435\u043b \u0438\u0437 \u0441\u0442\u0440\u043e\u044f \u0447\u0430\u0441\u0442\u044c \u043e\u0431\u043e\u0440\u0443\u0434\u043e\u0432\u0430\u043d\u0438\u044f \u0437\u0430 \u0441\u0447\u0435\u0442 \u0443\u0441\u043a\u043e\u0440\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u0437\u043d\u043e\u0441\u0430. \u0415\u0441\u043b\u0438 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-53278","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd479 qasje p\u00ebr identifikimin e anomalis\u00eb | ProHoster","description":"N\u00eb artikullin e m\u00ebparsh\u00ebm fol\u00ebm p\u00ebr parashikimin e serive temporale. Nj\u00eb vazhdim logjik do t\u00eb ishte artikulli mbi identifikimin e anomalis\u00eb.","canonical_url":"https:\/\/prohoster.info\/sq\/blog\/news\/9-podhodov-dlya-vyyavleniya-anomalij","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"sq_AL","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd479 \u043f\u043e\u0434\u0445\u043e\u0434\u043e\u0432 \u0434\u043b\u044f \u0432\u044b\u044f\u0432\u043b\u0435\u043d\u0438\u044f \u0430\u043d\u043e\u043c\u0430\u043b\u0438\u0439 | ProHoster","og:description":"\u0412 \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0435\u0439 \u0441\u0442\u0430\u0442\u044c\u0435 \u043c\u044b \u0433\u043e\u0432\u043e\u0440\u0438\u043b\u0438 \u043e \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0438 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u044f\u0434\u043e\u0432. \u041b\u043e\u0433\u0438\u0447\u043d\u044b\u043c \u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0435\u043d\u0438\u0435\u043c \u0431\u0443\u0434\u0435\u0442 \u0441\u0442\u0430\u0442\u044c\u044f \u043e \u0432\u044b\u044f\u0432\u043b\u0435\u043d\u0438\u0438 \u0430\u043d\u043e\u043c\u0430\u043b\u0438\u0439.","og:url":"https:\/\/prohoster.info\/sq\/blog\/news\/9-podhodov-dlya-vyyavleniya-anomalij","og:image":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:secure_url":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:width":350,"og:image:height":350,"article:published_time":"2019-11-27T21:00:00+00:00","article:modified_time":"2020-02-18T11:01:10+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster","article:author":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":{"post_id":"53278","title":null,"description":null,"keywords":null,"keyphrases":null,"primary_term":null,"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_url":null,"og_image_width":null,"og_image_height":null,"og_image_custom_url":null,"og_image_custom_fields":null,"og_video":null,"og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_url":null,"twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_title":null,"twitter_description":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"","isEnabled":true},"graphs":[]},"schema_type":null,"schema_type_options":null,"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":null,"robots_max_videopreview":null,"robots_max_imagepreview":"large","priority":null,"frequency":null,"local_seo":null,"seo_analyzer_scan_date":"2026-01-24 06:46:20","breadcrumb_settings":null,"limit_modified_date":false,"reviewed_by":null,"ai":null,"created":"2021-02-28 20:28:47","updated":"2026-01-24 06:46:20","focus_keyword":null,"additional_keywords":null,"truseo_locale":null},"gt_translate_keys":[{"key":"link","format":"url"}],"_links":{"self":[{"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/posts\/53278","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/comments?post=53278"}],"version-history":[{"count":0,"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/posts\/53278\/revisions"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/media?parent=53278"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/categories?post=53278"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/tags?post=53278"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}