{"id":97890,"date":"2020-10-22T20:43:19","date_gmt":"2020-10-22T18:43:19","guid":{"rendered":"https:\/\/prohoster.info\/blog\/administrirovanie\/razbiraemsya-v-chem-raznicza-mezhdu-data-mining-i-data-extraction"},"modified":"2021-02-01T11:42:45","modified_gmt":"2021-02-01T09:42:45","slug":"razbiraemsya-v-chem-raznicza-mezhdu-data-mining-i-data-extraction","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/administrirovanie\/razbiraemsya-v-chem-raznicza-mezhdu-data-mining-i-data-extraction","title":{"rendered":"Po shpjegojm\u00eb diferenc\u00ebn midis Data Mining dhe Data Extraction","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/skillfactory\/blog\/524336\/\"><img decoding=\"async\" alt=\"Po shpjegojm\u00eb diferenc\u00ebn midis Data Mining dhe Data Extraction\" src=\"\/wp-content\/uploads\/2020\/10\/bd0e140b564b7f6696b346865a91784f.png\" style=\"display:block;margin: 0 auto;\"><\/a><\/noindex><br \/>\nK\u00ebto dy fjal\u00eb moderne, t\u00eb lidhura me Data Science, konfuzojn\u00eb shum\u00eb njer\u00ebz. Data Mining shpesh keqkuptohet si nxjerrje dhe p\u00ebrfitim t\u00eb t\u00eb dh\u00ebnave, por n\u00eb t\u00eb v\u00ebrtet\u00eb \u00ebsht\u00eb shum\u00eb m\u00eb e komplikuar. N\u00eb k\u00ebt\u00eb postim, le t\u00eb sqarojm\u00eb thelbin dhe t\u00eb zbulojm\u00eb diferenc\u00ebn midis Data Mining dhe Data Extraction.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>\u00c7far\u00eb \u00ebsht\u00eb Data Mining?<\/h2>\n<p>Data mining, gjithashtu i njohur si <strong>Zbulimi i njohurive n\u00eb bazat e t\u00eb dh\u00ebnave (KDD)<\/strong>, \u00ebsht\u00eb nj\u00eb metod\u00eb q\u00eb p\u00ebrdoret shpesh p\u00ebr t\u00eb analizuar sasi t\u00eb m\u00ebdha t\u00eb t\u00eb dh\u00ebnave duke p\u00ebrdorur metoda statistikore dhe matematikore p\u00ebr t\u00eb gjetur modele ose tendenca t\u00eb fshehura dhe p\u00ebr t\u00eb nxjerr\u00eb vler\u00eb prej tyre.<\/p>\n<h2>\u00c7far\u00eb mund t\u00eb b\u00ebhet me Data Mining?<\/h2>\n<p>Duke automatizuar procesin, <noindex><a rel=\"nofollow\" href=\"https:\/\/www.octoparse.com\/blog\/7-web-mining-tools-around-the-web\">mjetet e data mining<\/a><\/noindex> mund t\u00eb shfletojn\u00eb bazat e t\u00eb dh\u00ebnave dhe t\u00eb identifikojn\u00eb n\u00eb m\u00ebnyr\u00eb efikase modelet e fshehura. P\u00ebr bizneset, data mining shpesh p\u00ebrdoret p\u00ebr t\u00eb zbuluar modele dhe lidhje n\u00eb t\u00eb dh\u00ebna, duke ndihmuar n\u00eb marrjen e vendimeve optimale n\u00eb biznes.<\/p>\n<h2>Shembuj t\u00eb p\u00ebrdorimit<\/h2>\n<p>Pas p\u00ebrhapjes s\u00eb gjer\u00eb t\u00eb data mining n\u00eb vitet 1990, kompanit\u00eb n\u00eb nj\u00eb gam\u00eb t\u00eb gjer\u00eb t\u00eb industrive, duke p\u00ebrfshir\u00eb pakic\u00ebn, financat, sh\u00ebndet\u00ebsin\u00eb, transportin, telekomunikacionin, tregtin\u00eb elektronike etj., filluan t\u00eb p\u00ebrdorin metodat e data mining p\u00ebr t\u00eb nxjerr\u00eb informacion nga t\u00eb dh\u00ebnat. Data mining mund t\u00eb ndihmoj\u00eb n\u00eb segmentimin e klient\u00ebve, identifikimin e mashtrimeve, parashikimin e shitjeve dhe shum\u00eb t\u00eb tjera.<\/p>\n<ul>\n<li><b>Segmentimi i klient\u00ebve<\/b><br \/>\nDuke analizuar t\u00eb dh\u00ebnat e klient\u00ebve dhe duke identifikuar karakteristikat e klient\u00ebve t\u00eb synuar, kompanit\u00eb mund t'i grupojn\u00eb ato n\u00eb nj\u00eb grup t\u00eb ve\u00e7ant\u00eb dhe t\u00eb ofrojn\u00eb oferta speciale q\u00eb p\u00ebrmbushin nevojat e tyre.<\/li>\n<li><b>Analiza e koshtit t\u00eb tregut<\/b><br \/>\nKjo metodologji bazohet n\u00eb teorin\u00eb se n\u00ebse blini nj\u00eb grup t\u00eb caktuar produktesh, ka shum\u00eb mund\u00ebsi q\u00eb t\u00eb blini edhe nj\u00eb grup tjet\u00ebr produktesh. Nj\u00eb shembull i njohur: kur baballar\u00ebt blejn\u00eb pampers p\u00ebr foshnjat e tyre, ata zakonisht blejn\u00eb birr\u00eb s\u00eb bashku me pampers.<\/li>\n<li><b>Parashikimi i shitjeve<\/b><br \/>\nKjo mund t\u00eb duket si nj\u00eb analiz\u00eb e shport\u00ebs s\u00eb tregut, por k\u00ebt\u00eb her\u00eb analiza e t\u00eb dh\u00ebnave p\u00ebrdoret p\u00ebr t\u00eb parashikuar se kur nj\u00eb bler\u00ebs do t\u00eb blej\u00eb p\u00ebrs\u00ebri nj\u00eb produkt n\u00eb t\u00eb ardhmen. P\u00ebr shembull, nj\u00eb trajner blen nj\u00eb kanat\u00eb proteine q\u00eb duhet t\u00eb mjaftoj\u00eb p\u00ebr 9 muaj. Dyqani q\u00eb shet k\u00ebt\u00eb protein planifikon t\u00eb l\u00ebshoj\u00eb nj\u00eb t\u00eb re pas 9 muajsh, n\u00eb m\u00ebnyr\u00eb q\u00eb trajneri ta blej\u00eb p\u00ebrs\u00ebri.<\/li>\n<li><b>Zbulimi i mashtrimit<\/b><br \/>\nData mining ndihmon n\u00eb nd\u00ebrtimin e modeleve p\u00ebr zbulimin e mashtrimit. Duke grumbulluar mostra t\u00eb raporteve mashtruese dhe t\u00eb v\u00ebrteta, bizneset fitojn\u00eb mund\u00ebsin\u00eb t\u00eb p\u00ebrcaktojn\u00eb se cilat operacione jan\u00eb t\u00eb dyshimta.<\/li>\n<li><b>Zbulimi i modeleve n\u00eb prodhim<\/b><br \/>\nN\u00eb industrin\u00eb e p\u00ebrpunimit, data mining p\u00ebrdoret p\u00ebr t\u00eb ndihmuar n\u00eb dizajnin e sistemeve, duke identifikuar lidhjet midis arkitektur\u00ebs s\u00eb produktit, profilit dhe nevojave t\u00eb klient\u00ebve. Data mining gjithashtu mund t\u00eb parashikoj\u00eb koh\u00ebt e zhvillimit t\u00eb produkteve dhe kostot.<\/li>\n<\/ul>\n<p>Dhe k\u00ebto jan\u00eb vet\u00ebm disa skenar\u00eb p\u00ebrdorimi t\u00eb data mining.<\/p>\n<h2>Hapat e Data Mining<\/h2>\n<p>Data mining \u00ebsht\u00eb nj\u00eb proces t\u00ebr\u00ebsor i mbledhjes, p\u00ebrzgjedhjes, pastrimit, transformimit dhe nxjerrjes s\u00eb t\u00eb dh\u00ebnave p\u00ebr vler\u00ebsimin e modeleve dhe, n\u00eb fund, p\u00ebr nxjerrjen e vler\u00ebs.<\/p>\n<p><img decoding=\"async\" alt=\"Po shpjegojm\u00eb diferenc\u00ebn midis Data Mining dhe Data Extraction\" src=\"\/wp-content\/uploads\/2020\/10\/0f601a9f32e2b9517f1a7deb0e353b5a.png\" style=\"display:block;margin: 0 auto;\"><\/p>\n<p>N\u00eb p\u00ebrgjith\u00ebsi, i gjith\u00eb procesi i t\u00eb dh\u00ebnave mund t\u00eb p\u00ebrmblidhet n\u00eb 7 etapa:<\/p>\n<ol>\n<li><b>Pastrimi i t\u00eb dh\u00ebnave<\/b><br \/>\nN\u00eb bot\u00ebn reale, t\u00eb dh\u00ebnat nuk jan\u00eb gjithmon\u00eb t\u00eb pastra dhe t\u00eb strukturuara. Shpesh ato jan\u00eb t\u00eb zhurmshme, t\u00eb paplota dhe mund t\u00eb p\u00ebrmbajn\u00eb gabime. P\u00ebr t\u00eb siguruar q\u00eb rezultati i data mining t\u00eb jet\u00eb i sakt\u00eb, fillimisht duhet t\u00eb pastroni t\u00eb dh\u00ebnat. Disa metoda pastrimi p\u00ebrfshijn\u00eb plot\u00ebsimin e vlerave t\u00eb munguara, kontrollin automatik dhe manual, etj.<\/li>\n<li><b>Integrimi i t\u00eb dh\u00ebnave<\/b><br \/>\nKjo \u00ebsht\u00eb nj\u00eb etap\u00eb n\u00eb t\u00eb cil\u00ebn t\u00eb dh\u00ebnat nga burime t\u00eb ndryshme nxirren, kombinohen dhe integrihen. Burimet mund t\u00eb jen\u00eb baza t\u00eb dh\u00ebnash, skedar\u00eb tekstual\u00eb, tabela elektronike, dokumente, disa dimensione t\u00eb dh\u00ebnash, interneti dhe k\u00ebshtu me radh\u00eb.<\/li>\n<li><b>P\u00ebrzgjedhja e t\u00eb dh\u00ebnave<\/b><br \/>\nZakonisht, jo t\u00eb gjitha t\u00eb dh\u00ebnat e integruara jan\u00eb t\u00eb nevojshme n\u00eb data mining. P\u00ebrzgjedhja e t\u00eb dh\u00ebnave \u00ebsht\u00eb nj\u00eb etap\u00eb n\u00eb t\u00eb cil\u00ebn nga nj\u00eb baz\u00eb e madhe t\u00eb dh\u00ebnash p\u00ebrzgjidhen dhe nxirren vet\u00ebm t\u00eb dh\u00ebnat e dobishme.<\/li>\n<li><b>Transformimi i t\u00eb dh\u00ebnave<\/b><br \/>\nPas p\u00ebrzgjedhjes s\u00eb t\u00eb dh\u00ebnave, ato transformohen n\u00eb forma t\u00eb p\u00ebrshtatshme p\u00ebr nxjerrjen. Ky proces p\u00ebrfshin normalizimin, agregimin, p\u00ebrmblidhjen, etj.<\/li>\n<li><b>Analiza inteligjente e t\u00eb dh\u00ebnave<\/b><br \/>\nK\u00ebtu arrijm\u00eb pjes\u00ebn m\u00eb t\u00eb r\u00ebnd\u00ebsishme t\u00eb mining-ut t\u00eb t\u00eb dh\u00ebnave \u2014 p\u00ebrdorimi i metodave inteligjente p\u00ebr t\u00eb gjetur modelet n\u00eb to. Procesi p\u00ebrfshin regresionin, klasifikimin, parashikimin, klasterimin, studimin e asosacioneve dhe shum\u00eb m\u00eb tep\u00ebr.<\/li>\n<li><b>Vler\u00ebsimi i modelit<\/b><br \/>\nKy hap \u00ebsht\u00eb i drejtuar drejt identifikimit t\u00eb modeleve potencialisht t\u00eb dobishme, t\u00eb lehta p\u00ebr t'u kuptuar, si dhe modeleve q\u00eb konfirmojn\u00eb hipotezat.<\/li>\n<li><b>Paraqitja e njohurive<\/b><br \/>\nN\u00eb faz\u00ebn p\u00ebrfundimtare, informacioni i fituar paraqitet n\u00eb nj\u00eb m\u00ebnyr\u00eb atraktive duke p\u00ebrdorur metoda t\u00eb paraqitjes s\u00eb njohurive dhe vizualizimit.<\/li>\n<\/ol>\n<h2>Disavantazhet e Mining-ut t\u00eb t\u00eb dh\u00ebnave<\/h2>\n<ul>\n<li><b>Investime t\u00eb m\u00ebdha p\u00ebr koh\u00eb dhe pun\u00eb<\/b><br \/>\nPasi q\u00eb mining-u i t\u00eb dh\u00ebnave \u00ebsht\u00eb nj\u00eb proces i gjat\u00eb dhe kompleks, ai k\u00ebrkon nj\u00eb pun\u00eb t\u00eb madhe nga njer\u00ebz produktiv\u00eb dhe me kualifikim. Specialist\u00ebt e analitik\u00ebs s\u00eb t\u00eb dh\u00ebnave mund t\u00eb p\u00ebrfitojn\u00eb nga mjetet e fuqishme t\u00eb mining-ut t\u00eb t\u00eb dh\u00ebnave, por ata kan\u00eb nevoj\u00eb p\u00ebr specialist\u00eb p\u00ebr p\u00ebrgatitjen e t\u00eb dh\u00ebnave dhe kuptimin e rezultateve. Si pasoj\u00eb, procesi i t\u00eb gjith\u00eb informacionit mund t\u00eb k\u00ebrkoj\u00eb nj\u00eb koh\u00eb t\u00eb caktuar.<\/li>\n<li><b>Privat\u00ebsia dhe siguria e t\u00eb dh\u00ebnave<\/b><br \/>\nPasi q\u00eb mining-u i t\u00eb dh\u00ebnave mbledh informacion rreth klient\u00ebve p\u00ebrmes metodave t\u00eb tregut, ai mund t\u00eb shkel\u00eb privat\u00ebsin\u00eb e p\u00ebrdoruesve. P\u00ebr m\u00eb tep\u00ebr, haker\u00ebt mund t\u00eb ken\u00eb qasje n\u00eb t\u00eb dh\u00ebnat e ruajtura n\u00eb sistemet e mining-ut t\u00eb t\u00eb dh\u00ebnave. Kjo p\u00ebrb\u00ebn nj\u00eb k\u00ebrc\u00ebnim p\u00ebr sigurin\u00eb e t\u00eb dh\u00ebnave t\u00eb klient\u00ebve. N\u00ebse t\u00eb dh\u00ebnat e vjedhura p\u00ebrdoren p\u00ebr q\u00ebllime t\u00eb pap\u00ebrshtatshme, kjo mund t\u00eb d\u00ebmtoj\u00eb leht\u00ebsisht t\u00eb tjer\u00ebt.<\/li>\n<\/ul>\n<blockquote><p>M\u00eb sip\u00ebr \u00ebsht\u00eb nj\u00eb hyrje e shkurt\u00ebr n\u00eb mining-un e t\u00eb dh\u00ebnave. Si\u00e7 e p\u00ebrmenda, mining-u i t\u00eb dh\u00ebnave p\u00ebrfshin procesin e mbledhjes dhe integrimit t\u00eb t\u00eb dh\u00ebnave, i cili \u00ebsht\u00eb pjes\u00eb e procesit t\u00eb nxjerrjes s\u00eb t\u00eb dh\u00ebnave (data extraction). N\u00eb k\u00ebt\u00eb rast, mund t\u00eb thuhet me siguri se nxjerrja e t\u00eb dh\u00ebnave mund t\u00eb jet\u00eb nj\u00eb pjes\u00eb e procesit t\u00eb gjat\u00eb t\u00eb mining-ut t\u00eb t\u00eb dh\u00ebnave.<\/p><\/blockquote>\n<h2>\u00c7far\u00eb \u00ebsht\u00eb Nxjerrja e T\u00eb Dh\u00ebnave?<\/h2>\n<p>E njohur gjithashtu si \"nxjerrja e t\u00eb dh\u00ebnave nga uebi\" dhe \"web scraping\", ky proces p\u00ebrb\u00ebn aktin e nxjerrjes s\u00eb t\u00eb dh\u00ebnave nga burime t\u00eb dh\u00ebnash (zakonisht jo t\u00eb strukturuara ose keq t\u00eb strukturuara) n\u00eb vende t\u00eb centralizuara dhe centralizimin n\u00eb nj\u00eb vend p\u00ebr ruajtje ose p\u00ebr procesim t\u00eb m\u00ebtejsh\u00ebm. P\u00ebr m\u00eb tep\u00ebr, burimet e dh\u00ebnash jo t\u00eb strukturuara p\u00ebrfshijn\u00eb faqe interneti, email, dokumente, skedar\u00eb PDF, tekst t\u00eb skanuar, raporte t\u00eb mainframe, skedar\u00eb t\u00eb rulit, shpallje, etj. Ruajtjet e centralizuara mund t\u00eb jen\u00eb lokale, cloud ose hibride. \u00cbsht\u00eb e r\u00ebnd\u00ebsishme t\u00eb mbani mend se nxjerrja e t\u00eb dh\u00ebnave nuk p\u00ebrfshin procesimin ose analiza t\u00eb tjera q\u00eb mund t\u00eb ndodhin m\u00eb von\u00eb.<\/p>\n<h2>\u00c7far\u00eb mund t\u00eb b\u00ebhet me ndihm\u00ebn e Nxjerrjes s\u00eb T\u00eb Dh\u00ebnave?<\/h2>\n<p>N\u00eb thelb, q\u00ebllimet e nxjerrjes s\u00eb t\u00eb dh\u00ebnave ndahen n\u00eb 3 kategori.<\/p>\n<ul>\n<li><b>Arkivimi<\/b><br \/>\nNxjerrja e t\u00eb dh\u00ebnave mund t\u00eb transformoj\u00eb t\u00eb dh\u00ebnat nga formate fizike: libra, gazeta, faturat n\u00eb formate digjitale, si\u00e7 jan\u00eb bazat e t\u00eb dh\u00ebnave p\u00ebr ruajtje ose p\u00ebrkopje.<\/li>\n<li><b>Ndryshimi i formatit t\u00eb t\u00eb dh\u00ebnave<\/b><br \/>\nKur d\u00ebshironi t\u00eb transferoni t\u00eb dh\u00ebnat nga faqja juaj aktuale n\u00eb nj\u00eb t\u00eb re, q\u00eb \u00ebsht\u00eb n\u00eb zhvillim, mund t\u00eb mbledhni t\u00eb dh\u00ebnat nga faqja juaj, duke i nxjerr\u00eb ato.<\/li>\n<li><b>Analiza e t\u00eb dh\u00ebnave<\/b><br \/>\nNj\u00eb analiz\u00eb shtes\u00eb e t\u00eb dh\u00ebnave t\u00eb nxjerra p\u00ebr t\u00eb fituar njohuri rreth tyre \u00ebsht\u00eb e zakonshme. Kjo mund t\u00eb duket si analiza e t\u00eb dh\u00ebnave n\u00eb minierat e t\u00eb dh\u00ebnave, por \u00ebsht\u00eb e r\u00ebnd\u00ebsishme t\u00eb merrni parasysh se analiza e t\u00eb dh\u00ebnave \u00ebsht\u00eb q\u00ebllimi i nxjerrjes s\u00eb tyre, por nuk \u00ebsht\u00eb pjes\u00eb e saj. P\u00ebr m\u00eb tep\u00ebr, t\u00eb dh\u00ebnat analizohet ndryshe. Nj\u00eb nga shembujt: pronar\u00ebt e dyqaneve online nxjerrin informacion rreth produkteve nga faqet e tregtis\u00eb elektronike, si Amazon, p\u00ebr t\u00eb monitoruar strategjit\u00eb e konkurrent\u00ebve n\u00eb koh\u00eb reale. Si minierat e t\u00eb dh\u00ebnave, nxjerrja e t\u00eb dh\u00ebnave \u00ebsht\u00eb nj\u00eb process i automatizuar, me shum\u00eb p\u00ebrfitime. M\u00eb par\u00eb, njer\u00ebzit kopjonin dhe ngjisnin t\u00eb dh\u00ebna manualisht nga nj\u00eb vend n\u00eb tjetrin, gj\u00eb q\u00eb merrte shum\u00eb koh\u00eb. Nxjerrja e t\u00eb dh\u00ebnave p\u00ebrshpejton mbledhjen dhe rrit ndjesh\u00ebm sakt\u00ebsin\u00eb e t\u00eb dh\u00ebnave t\u00eb nxjerra.<\/li>\n<\/ul>\n<h2>Disa shembuj t\u00eb p\u00ebrdorimit t\u00eb Nxjerrjes s\u00eb T\u00eb Dh\u00ebnave<\/h2>\n<p>Sikurse data mining, nxjerrja e t\u00eb dh\u00ebnave p\u00ebrdoret gjer\u00ebsisht n\u00eb industri t\u00eb ndryshme. P\u00ebrve\u00e7 monitorimit t\u00eb \u00e7mimeve n\u00eb e-commerce, nxjerrja e t\u00eb dh\u00ebnave mund t\u00eb ndihmoj\u00eb n\u00eb hulumtimin e brendsh\u00ebm, agregimin e lajmeve, marketingun, pun\u00ebn me pasuri t\u00eb paluajtshme, udh\u00ebtimet dhe turizmin, k\u00ebshillimin, financat dhe shum\u00eb t\u00eb tjera.<\/p>\n<ul>\n<li><b>Gjenerimi i lead-eve<\/b><br \/>\nKompani mund t\u00eb nxjerrin t\u00eb dh\u00ebna nga katalog\u00ebt: Yelp, Crunchbase, Yellowpages dhe t\u00eb gjenerojn\u00eb lead-e p\u00ebr zhvillimin e biznesit. Mund t\u00eb shikoni videon m\u00eb posht\u00eb p\u00ebr t\u00eb m\u00ebsuar se si t\u00eb nxirrni t\u00eb dh\u00ebna nga Yellowpages duke p\u00ebrdorur <noindex><a rel=\"nofollow\" href=\"https:\/\/www.octoparse.com\/blog\/big-announcement-web-scraping-template-take-away\">shabllonin e web scraping<\/a><\/noindex>.<\/p>\n<p><center><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/embedd.srv.habr.com\/iframe\/5f9016d7d4323713fd415857\" frameborder=\"0\" allowfullscreen=\"\"><\/iframe><\/center><\/li>\n<li><b>Agregimi i p\u00ebrmbajtjes dhe lajmeve<\/b><br \/>\nSites q\u00eb agregojn\u00eb p\u00ebrmbajtje mund t\u00eb marrin flukse t\u00eb rregullta t\u00eb t\u00eb dh\u00ebnave nga disa burime dhe t\u00eb mbajn\u00eb faqet e tyre t\u00eb azhurnuara.<\/li>\n<li><b>Analiza e emocioneve<\/b><br \/>\nPas nxjerrjes s\u00eb rishikimeve, komenteve dhe reagimeve nga rrjetet sociale si Instagram dhe Twitter, specialist\u00ebt mund t\u00eb analizojn\u00eb panoram\u00ebn q\u00eb q\u00ebndron pas tyre dhe t\u00eb fitojn\u00eb njohuri se si perceptohet marka, produkti ose ndonj\u00eb fenomen.<\/li>\n<\/ul>\n<h2>Hapat e Nxjerrjes s\u00eb t\u00eb Dh\u00ebnave<\/h2>\n<p>Nxjerrja e t\u00eb dh\u00ebnave \u00ebsht\u00eb faza e par\u00eb e ETL (shkurtimi p\u00ebr Ekstraktimin, Transformimin, Ngarkimin) dhe ELT (Ekstraktimi, Ngarkimi dhe Transformimi). ETL dhe ELT vet\u00eb jan\u00eb pjes\u00eb e nj\u00eb strategjie t\u00eb plot\u00eb t\u00eb integrimit t\u00eb t\u00eb dh\u00ebnave. Me fjal\u00eb t\u00eb tjera, nxjerrja e t\u00eb dh\u00ebnave mund t\u00eb jet\u00eb pjes\u00eb e nxjerrjes s\u00eb tyre.<\/p>\n<p><img decoding=\"async\" alt=\"Po shpjegojm\u00eb diferenc\u00ebn midis Data Mining dhe Data Extraction\" src=\"\/wp-content\/uploads\/2020\/10\/25128c2d46b3bc383606efde5862b480.png\" style=\"display:block;margin: 0 auto;\"><br \/>\nEkstraktim, transformim, ngarkim<\/p>\n<p>Nd\u00ebrsa data mining \u00ebsht\u00eb marrja e informacionit nga masa t\u00eb m\u00ebdha t\u00eb t\u00eb dh\u00ebnave, nxjerrja e t\u00eb dh\u00ebnave \u00ebsht\u00eb nj\u00eb proces shum\u00eb m\u00eb i shkurt\u00ebr dhe m\u00eb i thjesht\u00eb. Mund t\u00eb reduktohet n\u00eb tre hapa:<\/p>\n<ol>\n<li><b>Zgjedhja e burimit t\u00eb t\u00eb dh\u00ebnave<\/b><br \/>\nZgjidhni burimin, t\u00eb dh\u00ebnat nga i cili d\u00ebshironi t\u00eb nxirrni, p\u00ebr shembull, nj\u00eb faqe interneti.<\/li>\n<li><b>Grumbullimi i t\u00eb dh\u00ebnave<\/b><br \/>\nD\u00ebrgoni nj\u00eb k\u00ebrkes\u00eb \u00abGET\u00bb n\u00eb faqen e internetit dhe analizoni dokumentin HTML t\u00eb pranuar duke p\u00ebrdorur gjuh\u00eb programimi si Python, PHP, R, Ruby etj.<\/li>\n<li><b>Ruajtja e t\u00eb dh\u00ebnave<\/b><br \/>\nRuani t\u00eb dh\u00ebnat n\u00eb baz\u00ebn tuaj lokale t\u00eb t\u00eb dh\u00ebnave ose n\u00eb nj\u00eb ruajtje n\u00eb cloud p\u00ebr p\u00ebrdorim t\u00eb ardhsh\u00ebm. N\u00ebse jeni nj\u00eb programues me p\u00ebrvoj\u00eb q\u00eb d\u00ebshiron t\u00eb nxjerr\u00eb t\u00eb dh\u00ebna, hapat e m\u00ebsip\u00ebrm mund t'ju duken t\u00eb leht\u00eb. Sidoqoft\u00eb, n\u00ebse nuk di t\u00eb programosh, ka nj\u00eb rrug\u00eb t\u00eb shkurt\u00ebr - p\u00ebrdorni mjetet e nxjerrjes s\u00eb t\u00eb dh\u00ebnave, p\u00ebr shembull, <noindex><a rel=\"nofollow\" href=\"http:\/\/www.octoparse.com\/\">Octoparse<\/a><\/noindex>. Mjetet e nxjerrjes s\u00eb t\u00eb dh\u00ebnave, gjithashtu si mjetet e minierave t\u00eb t\u00eb dh\u00ebnave, jan\u00eb zhvilluar p\u00ebr t\u00eb kursyer energji dhe p\u00ebr ta b\u00ebr\u00eb procesin e p\u00ebrpunimit t\u00eb t\u00eb dh\u00ebnave t\u00eb thjesht\u00eb p\u00ebr t\u00eb gjith\u00eb. K\u00ebto mjete jo vet\u00ebm q\u00eb jan\u00eb efikase, por jan\u00eb gjithashtu t\u00eb lehta p\u00ebr fillestar\u00ebt. Ato lejojn\u00eb p\u00ebrdoruesit t\u00eb mbledhin t\u00eb dh\u00ebna brenda disa minuta, t'i ruajn\u00eb ato n\u00eb re dhe t'i eksportojn\u00eb ato n\u00eb shum\u00eb formate: Excel, CSV, HTML, JSON ose n\u00eb baza t\u00eb dh\u00ebnash n\u00eb faqe p\u00ebrmes API.<\/li>\n<\/ol>\n<h2>Disavantazhet e Nxjerrjes s\u00eb t\u00eb Dh\u00ebnave<\/h2>\n<ul>\n<li><b>D\u00ebshtimi i serverit<\/b><br \/>\nGjat\u00eb nxjerrjes s\u00eb t\u00eb dh\u00ebnave n\u00eb mas\u00eb t\u00eb madhe, serveri i faqes s\u00eb synuar mund t\u00eb mbingarkohet, gj\u00eb q\u00eb mund t\u00eb \u00e7oj\u00eb n\u00eb d\u00ebshtimin e serverit. Kjo do t'i d\u00ebmtonte interesat e pronarit t\u00eb faqes.<\/li>\n<li><b>Bllokimi i IP<\/b><br \/>\nKur nj\u00eb person mbledh t\u00eb dh\u00ebna shum\u00eb shpesh, faqet e internetit mund ta bllokojn\u00eb adres\u00ebn e tij IP. Burimi mund ta ndaloj\u00eb plot\u00ebsisht adres\u00ebn IP ose t\u00eb kufizoj\u00eb aksesin, duke e b\u00ebr\u00eb informacionin t\u00eb paplot\u00eb. P\u00ebr t\u00eb nxjerr\u00eb t\u00eb dh\u00ebna dhe p\u00ebr t\u00eb shmangur bllokimin, \u00ebsht\u00eb e nevojshme ta b\u00ebni k\u00ebt\u00eb me nj\u00eb rit\u00ebm t\u00eb moderuar dhe t\u00eb aplikoni disa metoda anti-bllokimi.<\/li>\n<li><b>Problemet ligjore<\/b><br \/>\nNxjerrja e t\u00eb dh\u00ebnave nga web-i hyn n\u00eb nj\u00eb zon\u00eb gri kur b\u00ebhet fjal\u00eb p\u00ebr ligjshm\u00ebrin\u00eb. Faqet e m\u00ebdha, si Linkedin dhe Facebook, e deklarojn\u00eb qart\u00eb n\u00eb kushtet e tyre t\u00eb p\u00ebrdorimit se \u00e7do nxjerrje e automatizuar e t\u00eb dh\u00ebnave \u00ebsht\u00eb e ndaluar. Ka pasur shum\u00eb procese gjyq\u00ebsore midis kompanive p\u00ebr shkak t\u00eb aktiviteteve t\u00eb botele.<\/li>\n<\/ul>\n<h2>Dallimet kryesore midis Minier\u00ebs s\u00eb t\u00eb Dh\u00ebnave dhe Nxjerrjes s\u00eb t\u00eb Dh\u00ebnave<\/h2>\n<ol>\n<li>Miniera e t\u00eb dh\u00ebnave gjithashtu quhet zbulimi i njohurive n\u00eb bazat e t\u00eb dh\u00ebnave, nxjerrja e njohurive, analiza e t\u00eb dh\u00ebnave\/modeleve, mbledhja e informacionit. Nxjerrja e t\u00eb dh\u00ebnave p\u00ebrdoret nj\u00ebsoj me nxjerrjen e t\u00eb dh\u00ebnave nga web-i, skanimin e faqeve t\u00eb internetit, mbledhjen e t\u00eb dh\u00ebnave dhe k\u00ebshtu me radh\u00eb.<\/li>\n<li>Hulumtimet e minier\u00ebs s\u00eb t\u00eb dh\u00ebnave jan\u00eb kryesisht t\u00eb bazuara n\u00eb t\u00eb dh\u00ebna t\u00eb strukturuara, nd\u00ebrsa gjat\u00eb nxjerrjes s\u00eb t\u00eb dh\u00ebnave ato zakonisht nxirren nga burime t\u00eb pa-struktuara ose t\u00eb keq-struktuara.<\/li>\n<li>Q\u00ebllimi i minier\u00ebs s\u00eb t\u00eb dh\u00ebnave \u00ebsht\u00eb t\u00eb b\u00ebj\u00eb t\u00eb dh\u00ebnat m\u00eb t\u00eb dobishme p\u00ebr analiz\u00eb. Nxjerrja e t\u00eb dh\u00ebnave \u00ebsht\u00eb mbledhja e t\u00eb dh\u00ebnave n\u00eb nj\u00eb vend, ku ato mund t\u00eb ruhen ose t\u00eb p\u00ebrpunohen.<\/li>\n<li>Analiza gjat\u00eb minier\u00ebs s\u00eb t\u00eb dh\u00ebnave bazohet n\u00eb metoda matematikore p\u00ebr t\u00eb zbuluar modele ose tendenca. Nxjerrja e t\u00eb dh\u00ebnave bazohet n\u00eb gjuh\u00ebt e programimit ose mjete nxjerrjeje t\u00eb dh\u00ebnash p\u00ebr t\u00eb kaluar burimet.<\/li>\n<li>Q\u00ebllimi i minier\u00ebs s\u00eb t\u00eb dh\u00ebnave \u00ebsht\u00eb t\u00eb gjej\u00eb fakte q\u00eb m\u00eb par\u00eb nuk ishin t\u00eb njohura ose ishin shp\u00ebrdoruar, nd\u00ebrsa nxjerrja e t\u00eb dh\u00ebnave merret me informacionin e ekzistuesh\u00ebm.<\/li>\n<li>Minimizimi i t\u00eb dh\u00ebnave \u00ebsht\u00eb m\u00eb kompleks dhe k\u00ebrkon investime t\u00eb m\u00ebdha p\u00ebr trajnimin e punonj\u00ebsve. Nxjerrja e t\u00eb dh\u00ebnave me p\u00ebrdorimin e nj\u00eb instrumenti t\u00eb p\u00ebrshtatsh\u00ebm mund t\u00eb jet\u00eb jasht\u00ebzakonisht e thjesht\u00eb dhe ekonomike.<\/li>\n<\/ol>\n<p>Ne ndihmojm\u00eb fillestar\u00ebt t\u00eb mos ngat\u00ebrrohen me t\u00eb dh\u00ebnat. Ve\u00e7an\u00ebrisht p\u00ebr an\u00ebtar\u00ebt e Habr, krijuam nj\u00eb kod promocional <b>HABR<\/b>, i cili ofron nj\u00eb zbritje shtes\u00eb prej 10% mbi zbritjen e treguar n\u00eb banner.<\/p>\n<p><noindex><a rel=\"nofollow\" href=\"https:\/\/skillfactory.ru\/?utm_source=infopartners&amp;utm_medium=habr&amp;utm_campaign=habr_banner&amp;utm_term=regular&amp;utm_content=habr_banner\"><img decoding=\"async\" alt=\"Po shpjegojm\u00eb diferenc\u00ebn midis Data Mining dhe Data Extraction\" src=\"\/wp-content\/uploads\/2020\/10\/19f2c89f80e09bcb31702236b2cbc4d2.png\" style=\"display:block;margin: 0 auto;\"><\/a><\/noindex><\/p>\n<ul>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/skillfactory.ru\/dstpro?utm_source=infopartners&amp;utm_medium=habr&amp;utm_campaign=habr_DSPR&amp;utm_term=regular&amp;utm_content=211020\">Trajnimi p\u00ebr profesionin Data Science nga zero<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" 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Scientist pa kurse online<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/skillfactory\/blog\/503196\/\">450 kurse falas nga Liga e Ivy<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/skillfactory\/blog\/510444\/\">Si t\u00eb studioni Machine Learning 5 dit\u00eb n\u00eb jav\u00eb p\u00ebr 9 muaj rresht<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/skillfactory\/blog\/520540\/\">Sa fiton nj\u00eb analist i t\u00eb dh\u00ebnave: p\u00ebrmbledhje e pagave dhe vendeve t\u00eb pun\u00ebs n\u00eb Rusi dhe jasht\u00eb saj n\u00eb vitin 2020<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/skillfactory\/blog\/522776\/\">Machine Learning dhe Computer Vision n\u00eb industrin\u00eb nxjerr\u00ebse<\/a><\/noindex><\/li>\n<\/ul>\n<p>Burimi: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/skillfactory\/blog\/524336\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0414\u0432\u0430 \u044d\u0442\u0438\u0445 \u043c\u043e\u0434\u043d\u044b\u0445 \u0441\u043b\u043e\u0432\u0430, \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0445 \u0441 Data Science, \u0441\u0431\u0438\u0432\u0430\u044e\u0442 \u0441 \u0442\u043e\u043b\u043a\u0443 \u043c\u043d\u043e\u0433\u0438\u0445 \u043b\u044e\u0434\u0435\u0439. Data Mining \u0447\u0430\u0441\u0442\u043e \u043d\u0435\u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u043e \u043f\u043e\u043d\u0438\u043c\u0430\u044e\u0442 \u043a\u0430\u043a \u0438\u0437\u0432\u043b\u0435\u0447\u0435\u043d\u0438\u0435 \u0438 \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u0435 \u0434\u0430\u043d\u043d\u044b\u0445, \u043d\u043e \u043d\u0430 \u0441\u0430\u043c\u043e\u043c \u0434\u0435\u043b\u0435 \u0432\u0441\u0435 \u043d\u0430\u043c\u043d\u043e\u0433\u043e \u0441\u043b\u043e\u0436\u043d\u0435\u0435. \u0412 \u044d\u0442\u043e\u043c \u043f\u043e\u0441\u0442\u0435 \u0434\u0430\u0432\u0430\u0439\u0442\u0435 \u0440\u0430\u0441\u0441\u0442\u0430\u0432\u0438\u043c \u0442\u043e\u0447\u043a\u0438 \u043d\u0430\u0434 Mining \u0438 \u0432\u044b\u044f\u0441\u043d\u0438\u043c \u0440\u0430\u0437\u043d\u0438\u0446\u0443 \u043c\u0435\u0436\u0434\u0443 Data Mining \u0438 Data Extraction. \u0427\u0442\u043e \u0442\u0430\u043a\u043e\u0435 Data Mining? 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