{"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":"Le t\u00eb kuptojm\u00eb se \u00e7far\u00eb e ndan Data Mining nga 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=\"Le t\u00eb kuptojm\u00eb se \u00e7far\u00eb e ndan Data Mining nga Data Extraction\" src=\"\/wp-content\/uploads\/2020\/10\/bd0e140b564b7f6696b346865a91784f.png\" style=\"display:block;margin: 0 auto;\"><\/a><\/noindex><br \/>\nK\u00ebto dy fjal\u00eb t\u00eb mod\u00ebs, t\u00eb lidhura me Shkenc\u00ebn e t\u00eb Dh\u00ebnave, ngat\u00ebrrojn\u00eb shum\u00eb njer\u00ebz. Data Mining shpesh kuptohet gabimisht si nxjerrja dhe marr\u00ebveshja e 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 post, le t\u00eb sqarojm\u00eb \u00e7\u00ebshtjet dhe t\u00eb zbulojm\u00eb ndryshimin 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, e njohur gjithashtu si <strong>Zbulimi i njohurive n\u00eb databaz\u00eb (KDD)<\/strong>, \u00ebsht\u00eb nj\u00eb metod\u00eb, e cila p\u00ebrdoret shpesh p\u00ebr t\u00eb analizuar grumbuj t\u00eb m\u00ebdhenj t\u00eb t\u00eb dh\u00ebnave me an\u00eb t\u00eb metodave statistike dhe matematike p\u00ebr t\u00eb gjetur modele t\u00eb fshehura ose tendenca dhe p\u00ebr t'i nxjerr\u00eb vler\u00eb ato.<\/p>\n<h2>\u00c7far\u00eb mund t\u00eb b\u00ebhet me an\u00eb t\u00eb 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\">instrumentet e data mining<\/a><\/noindex> mund t\u00eb shqyrtojn\u00eb databaza dhe t\u00eb zbulojn\u00eb n\u00eb m\u00ebnyr\u00eb efektive modelet e fshehura. P\u00ebr bizneset, data mining shpesh p\u00ebrdoret p\u00ebr t\u00eb gjetur 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 aplikimit<\/h2>\n<p>Pas nj\u00eb zhvillim t\u00eb gjer\u00eb n\u00eb vitet 1990, data mining u b\u00eb i njohur dhe kompanit\u00eb n\u00eb nj\u00eb gam\u00eb t\u00eb gjer\u00eb industrish, p\u00ebrfshir\u00eb shitjet me pakic\u00eb, financat, sh\u00ebndet\u00ebsin\u00eb, transportin, telekomunikacionin, tregtin\u00eb elektronike, etj., filluan t\u00eb p\u00ebrdorin metoda 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 p\u00ebr klient\u00ebt dhe identifikuar karakteristikat e klient\u00ebve t\u00eb targetuar, kompanit\u00eb mund t\u00eb organizojn\u00eb ata n\u00eb grupe t\u00eb ve\u00e7anta dhe t'u ofrojn\u00eb oferta speciale q\u00eb p\u00ebrputhen me nevojat e tyre.<\/li>\n<li><b>Analiza e shport\u00ebs s\u00eb tregut<\/b><br \/>\nKjo metod\u00eb bazohet n\u00eb teorin\u00eb se n\u00ebse bleni nj\u00eb grup t\u00eb caktuar produktesh, ka shum\u00eb mund\u00ebsi q\u00eb t\u00eb blini 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 bashk\u00eb 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 bler\u00ebsi do t\u00eb blej\u00eb p\u00ebrs\u00ebri produktin n\u00eb t\u00eb ardhmen. P\u00ebr shembull, nj\u00eb trainer blen nj\u00eb kavanoz proteine, i cili 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 traineri ta blej\u00eb p\u00ebrs\u00ebri.<\/li>\n<li><b>Zbulimi i mashtrimeve<\/b><br \/>\nData mining ndihmon n\u00eb nd\u00ebrtimin e modeleve p\u00ebr zbulimin e mashtrimeve. Duke mbledhur mostra t\u00eb raportimeve mashtruese dhe t\u00eb v\u00ebrteta, bizneset fitojn\u00eb t\u00eb drejt\u00ebn t\u00eb p\u00ebrcaktojn\u00eb se cilat operacione jan\u00eb t\u00eb dyshimta.<\/li>\n<li><b>Zbulimi i modele t\u00eb prodhimit<\/b><br \/>\nN\u00eb industrin\u00eb p\u00ebrpunuese, data mining p\u00ebrdoret p\u00ebr t\u00eb ndihmuar n\u00eb projektimin e sistemeve, duke identifikuar lidhjet midis arkitektur\u00ebs s\u00eb produktit, profilit dhe nevojave t\u00eb klient\u00ebve. Dhenia e t\u00eb dh\u00ebnave gjithashtu mund t\u00eb parashikoj\u00eb afatet e zhvillimit t\u00eb produkteve dhe kostot.<\/li>\n<\/ul>\n<p>Dhe k\u00ebto jan\u00eb vet\u00ebm disa skenar\u00eb t\u00eb p\u00ebrdorimit t\u00eb data mining.<\/p>\n<h2>Hapat e Data Mining<\/h2>\n<p>Minierimi i t\u00eb dh\u00ebnave \u2014 \u00ebsht\u00eb nj\u00eb proces i plot\u00eb i mbledhjes, p\u00ebrzgjedhjes, pastrimit, transformimit dhe nxjerrjes s\u00eb t\u00eb dh\u00ebnave p\u00ebr t\u00eb vler\u00ebsuar modelet dhe, n\u00eb fund, p\u00ebr t\u00eb nxjerr\u00eb vler\u00eb.<\/p>\n<p><img decoding=\"async\" alt=\"Le t\u00eb kuptojm\u00eb se \u00e7far\u00eb e ndan Data Mining nga Data Extraction\" src=\"\/wp-content\/uploads\/2020\/10\/0f601a9f32e2b9517f1a7deb0e353b5a.png\" style=\"display:block;margin: 0 auto;\"><\/p>\n<p>Si rregull, i gjith\u00eb procesi i minierimit t\u00eb 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 ken\u00eb gabime. P\u00ebr t\u00eb siguruar q\u00eb rezultati i minierimit t\u00eb t\u00eb dh\u00ebnave t\u00eb jet\u00eb i sakt\u00eb, s\u00eb pari duhet t\u00eb pastroni t\u00eb dh\u00ebnat. Disa metoda pastrimi p\u00ebrfshijn\u00eb plot\u00ebsimin e vlerave t\u00eb munguara, kontrollin automatike dhe manual, etj.<\/li>\n<li><b>Integrimi i t\u00eb dh\u00ebnave<\/b><br \/>\nKjo \u00ebsht\u00eb etapa n\u00eb t\u00eb cil\u00ebn t\u00eb dh\u00ebnat nga burime t\u00eb ndryshme nxirren, kombinohen dhe integrohen. Burimet mund t\u00eb jen\u00eb bazat e t\u00eb dh\u00ebnave, skedar\u00ebt tekstual\u00eb, spreadsheet-\u00ebt, dokumentet, array-t multidimensionale t\u00eb t\u00eb dh\u00ebnave, interneti dhe k\u00ebshtu me radh\u00eb.<\/li>\n<li><b>Nxjerrja e t\u00eb dh\u00ebnave<\/b><br \/>\nZakonisht, jo t\u00eb gjith\u00eb t\u00eb dh\u00ebnat e integruara jan\u00eb t\u00eb nevojshme p\u00ebr minierimin e t\u00eb dh\u00ebnave. Mostra 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 \/>\nPasi p\u00ebrzgjedhjes s\u00eb t\u00eb dh\u00ebnave, ato transformohen n\u00eb forma t\u00eb p\u00ebrshtatshme p\u00ebr minierat. Ky proces p\u00ebrfshin normalizimin, agregimin, p\u00ebrmbledhjen, dhe t\u00eb tjera.<\/li>\n<li><b>Analiza Intelligjente e T\u00eb Dh\u00ebnave<\/b><br \/>\nK\u00ebtu fillon pjesa m\u00eb e r\u00ebnd\u00ebsishme e data mining - p\u00ebrdorimi i metodave inteligjente p\u00ebr t\u00eb gjetur modele n\u00eb to. Procesi p\u00ebrfshin regresionin, klasifikimin, parashikimin, grumbullimin, studimin e asocimeve dhe shum\u00eb t\u00eb tjera.<\/li>\n<li><b>Vler\u00ebsimi i Modelit<\/b><br \/>\nKy hap \u00ebsht\u00eb i fokusuar n\u00eb identifikimin e modeleve potencialisht t\u00eb dobishme, t\u00eb lehta p\u00ebr t'u kuptuar, si dhe atyre q\u00eb konfirmojn\u00eb hipotezat.<\/li>\n<li><b>Paraqitja e Njohurive<\/b><br \/>\nN\u00eb faz\u00ebn p\u00ebrfundimtare, informacioni i marr\u00eb paraqitet n\u00eb nj\u00eb format t\u00ebrheq\u00ebs duke p\u00ebrdorur metoda t\u00eb paraqitjes s\u00eb njohurive dhe vizualizimit.<\/li>\n<\/ol>\n<h2>Disavantazhet e Data Mining<\/h2>\n<ul>\n<li><b>Investime t\u00eb m\u00ebdha kohore dhe p\u00ebrpjekjesh<\/b><br \/>\nP\u00ebr shkak se nxjerrja e t\u00eb dh\u00ebnave \u00ebsht\u00eb nj\u00eb proces i gjat\u00eb dhe kompleks, ajo k\u00ebrkon pun\u00eb t\u00eb madhe nga njer\u00ebz produktiv\u00eb dhe t\u00eb kualifikuar. Specialist\u00ebt e analiz\u00ebs intelektuale t\u00eb t\u00eb dh\u00ebnave mund t\u00eb shfryt\u00ebzojn\u00eb mjete t\u00eb fuqishme p\u00ebr nxjerrjen e t\u00eb dh\u00ebnave, megjithat\u00eb, atyre u nevojiten specialist\u00eb p\u00ebr p\u00ebrgatitjen e t\u00eb dh\u00ebnave dhe p\u00ebr t\u00eb kuptuar rezultatet. Si rezultat, mund t\u00eb nevojitet disa koh\u00eb p\u00ebr p\u00ebrpunimin e gjith\u00eb informacionit.<\/li>\n<li><b>Privat\u00ebsia dhe siguria e t\u00eb dh\u00ebnave<\/b><br \/>\nP\u00ebr shkak se nxjerrja e t\u00eb dh\u00ebnave mbledh informacion n\u00eb lidhje me klient\u00ebt p\u00ebrmes metodave t\u00eb tregut, ajo mund t\u00eb shp\u00ebrfill\u00eb privat\u00ebsin\u00eb e p\u00ebrdoruesve. P\u00ebr m\u00eb tep\u00ebr, haker\u00ebt mund t\u00eb fitojn\u00eb qasje n\u00eb t\u00eb dh\u00ebnat q\u00eb ruhen n\u00eb sistemet e nxjerrjes s\u00eb t\u00eb dh\u00ebnave. Kjo paraqet 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 gabuara, 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 nxjerrjen e t\u00eb dh\u00ebnave. Si\u00e7 e p\u00ebrmenda m\u00eb par\u00eb, nxjerrja e t\u00eb dh\u00ebnave p\u00ebrfshin procesin e mbledhjes dhe integrimit t\u00eb t\u00eb dh\u00ebnave, i cili p\u00ebrfshin procesin e nxjerrjes s\u00eb t\u00eb dh\u00ebnave. 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 nxjerrjes s\u00eb t\u00eb dh\u00ebnave.<\/p><\/blockquote>\n<h2>\u00c7far\u00eb \u00ebsht\u00eb Nxjerrja e T\u00eb Dh\u00ebnave?<\/h2>\n<p>I njohur gjithashtu si \u00abnxjerrja e t\u00eb dh\u00ebnave nga uebi\u00bb dhe \u00abweb scraping\u00bb, ky proces p\u00ebrfaq\u00ebson aktin e nxjerrjes s\u00eb t\u00eb dh\u00ebnave nga burime t\u00eb dh\u00ebnash (zakonisht t\u00eb pa strukturuara ose keq strukturuara) n\u00eb vende t\u00eb centralizuara dhe centralizimin e tyre n\u00eb nj\u00eb vend p\u00ebr ruajtje ose p\u00ebrpunim t\u00eb m\u00ebtejsh\u00ebm. N\u00eb ve\u00e7anti, burimet e pa strukturuara t\u00eb t\u00eb dh\u00ebnave p\u00ebrfshijn\u00eb faqet e internetit, e-mail, dokumente, skedar\u00eb PDF, tekst t\u00eb skanuar, raporte nga mainframe, skedar\u00eb n\u00eb rreth dhe shpallje etj. Depositat 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 p\u00ebrpunimin ose analiz\u00ebn tjet\u00ebr q\u00eb mund t\u00eb ndodh\u00eb 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 p\u00ebrgjith\u00ebsi, 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, p\u00ebr shembull, bazat e t\u00eb dh\u00ebnave p\u00ebr ruajtje ose backup.<\/li>\n<li><b>Ndryshimi i formatit t\u00eb t\u00eb dh\u00ebnave<\/b><br \/>\nKur ju 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 faz\u00eb zhvillimi, mund t\u00eb mbledhni t\u00eb dh\u00ebnat nga faqja juaj duke i ekstraktuar ato.<\/li>\n<li><b>Analiza e t\u00eb dh\u00ebnave<\/b><br \/>\nAnaliza shtes\u00eb e t\u00eb dh\u00ebnave t\u00eb ekstraktuara \u00ebsht\u00eb e zakonshme p\u00ebr t\u00eb fituar nj\u00eb pamje t\u00eb tyre. Kjo mund t\u00eb duket si analiza e t\u00eb dh\u00ebnave gjat\u00eb data mining, por mbani mend se analiza e t\u00eb dh\u00ebnave \u00ebsht\u00eb q\u00ebllimi i ekstraktimit t\u00eb tyre, por jo pjes\u00eb e tij. P\u00ebr m\u00eb tep\u00ebr, t\u00eb dh\u00ebnat analizohen ndryshe. Nj\u00eb nga shembujt: pronar\u00ebt e dyqaneve online ekstraktojn\u00eb informacion mbi produktet nga faqet e tregtis\u00eb elektronike si Amazon p\u00ebr t\u00eb monitoruar strategjit\u00eb e konkurent\u00ebve n\u00eb koh\u00eb reale. Ashtu si data mining, ekstraktimi i t\u00eb dh\u00ebnave \u00ebsht\u00eb nj\u00eb proces automatizuar q\u00eb ka shum\u00eb p\u00ebrfitime. Disa vite 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. Ekstraktimi i t\u00eb dh\u00ebnave p\u00ebrshpejton mbledhjen dhe rrit ndjesh\u00ebm sakt\u00ebsin\u00eb e t\u00eb dh\u00ebnave t\u00eb ekstraktuara.<\/li>\n<\/ul>\n<h2>Disa shembuj t\u00eb p\u00ebrdorimit t\u00eb Ekstraktimit t\u00eb t\u00eb Dh\u00ebnave<\/h2>\n<p>Si 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 tregtin\u00eb elektronike, nxjerrja e t\u00eb dh\u00ebnave mund t\u00eb ndihmoj\u00eb n\u00eb k\u00ebrkimin e brendsh\u00ebm, agregimin e lajmeve, marketingun, pun\u00ebn me pasuri t\u00eb paluajtshme, udh\u00ebtimet dhe turizmin, konsulenc\u00ebn, financat dhe shum\u00eb t\u00eb tjera.<\/p>\n<ul>\n<li><b>Generimi i lider\u00ebve<\/b><br \/>\nKompani mund t\u00eb nxjerrin t\u00eb dh\u00ebna nga katalog\u00ebt: Yelp, Crunchbase, Yellowpages dhe t\u00eb gjenerojn\u00eb lidership p\u00ebr zhvillimin e biznesit. Mund ta shikoni videon m\u00eb posht\u00eb p\u00ebr t\u00eb m\u00ebsuar se si t\u00eb nxirrni t\u00eb dh\u00ebna nga Yellowpages me <noindex><a rel=\"nofollow\" href=\"https:\/\/www.octoparse.com\/blog\/big-announcement-web-scraping-template-take-away\">shabllonin e skrapimit t\u00eb uebit<\/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 \/>\nUeb-faqet q\u00eb agregojn\u00eb p\u00ebrmbajtje mund t\u00eb marrin flukse t\u00eb rregullta t\u00eb t\u00eb dh\u00ebnave nga burime t\u00eb ndryshme dhe t\u00eb mbajn\u00eb faqet e tyre t\u00eb azhurnuara.<\/li>\n<li><b>Analiza e ndjenjave<\/b><br \/>\nPas nxjerrjes s\u00eb rishikimeve, komenteve dhe d\u00ebshmive nga rrjetet sociale, t\u00eb tilla si Instagram dhe Twitter, specialist\u00ebt mund t\u00eb analizojn\u00eb pik\u00ebpamjet q\u00eb q\u00ebndrojn\u00eb n\u00eb to dhe t\u00eb fitojn\u00eb nj\u00eb kuptim t\u00eb m\u00ebnyr\u00ebs se si perceptohet marka, produkti ose nj\u00eb fenomen.<\/li>\n<\/ul>\n<h2>Hapat e Nxjerrjes s\u00eb t\u00eb Dh\u00ebnave<\/h2>\n<p>Ekstraktimi i t\u00eb dh\u00ebnave \u00ebsht\u00eb faza e par\u00eb e ETL (shkurtim p\u00ebr Extract, Transform, Load: eksktraktim, transformim, ngarkim) dhe ELT (ekstraktim, ngarkim dhe transformim). ETL dhe ELT n\u00eb vetvete 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, ekstraktimi i t\u00eb dh\u00ebnave mund t\u00eb jet\u00eb nj\u00eb pjes\u00eb e nxjerrjes s\u00eb tyre.<\/p>\n<p><img decoding=\"async\" alt=\"Le t\u00eb kuptojm\u00eb se \u00e7far\u00eb e ndan Data Mining nga 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 mining i t\u00eb dh\u00ebnave \u00ebsht\u00eb nxjerrja e informacionit nga sasi t\u00eb m\u00ebdha t\u00eb dh\u00ebnash, ekstraktimi i 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 etapa:<\/p>\n<ol>\n<li><b>Zgjedhja e burimit t\u00eb t\u00eb dh\u00ebnave<\/b><br \/>\nZgjidhni burimin nga i cili d\u00ebshironi t\u00eb ekstraktoni t\u00eb dh\u00ebnat, p\u00ebr shembull, nj\u00eb faqe interneti.<\/li>\n<li><b>Mbledhja e t\u00eb dh\u00ebnave<\/b><br \/>\nD\u00ebrgoni nj\u00eb k\u00ebrkes\u00eb \"GET\" n\u00eb faqen dhe analizoni dokumentin HTML t\u00eb marr\u00eb me 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\u00eb duken t\u00eb thjesht\u00eb p\u00ebr ju. Megjithat\u00eb, n\u00ebse nuk programoni, ka nj\u00eb rrug\u00eb t\u00eb shkurt\u00ebr \u2014 p\u00ebrdorni mjetet e ekstraktimit t\u00eb t\u00eb dh\u00ebnave, p\u00ebr shembull <noindex><a rel=\"nofollow\" href=\"http:\/\/www.octoparse.com\/\">Octoparse<\/a><\/noindex>. Veglat e nxjerrjes s\u00eb t\u00eb dh\u00ebnave, ashtu si veglat e minierave t\u00eb t\u00eb dh\u00ebnave, jan\u00eb dizajnuar 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 leht\u00eb p\u00ebr t\u00eb gjith\u00eb. K\u00ebto vegla jo vet\u00ebm q\u00eb jan\u00eb efikase, por gjithashtu jan\u00eb t\u00eb p\u00ebrshtatshme p\u00ebr fillestar\u00ebt. Ato lejojn\u00eb p\u00ebrdoruesit t\u00eb mbledhin t\u00eb dh\u00ebnat brenda disa minutave, t'i ruajn\u00eb ato n\u00eb re dhe t'i eksportojn\u00eb n\u00eb shum\u00eb formate: Excel, CSV, HTML, JSON ose n\u00eb bazat e t\u00eb dh\u00ebnave n\u00eb uebpajisje 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 \/>\nKur nxjerrja e t\u00eb dh\u00ebnave zhvillohet n\u00eb nj\u00eb shkall\u00eb t\u00eb madhe, serveri i uebfaqes s\u00eb synuar mund t\u00eb mbingarkohet, \u00e7ka mund t\u00eb \u00e7oj\u00eb n\u00eb d\u00ebshtimin e serverit. Kjo do t\u00eb 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, uebfaqet mund t\u00eb bllokojn\u00eb adres\u00ebn e tij IP. Burimi mund ta bllokoj\u00eb krejt\u00ebsisht adres\u00ebn IP ose t\u00eb kufizoj\u00eb qasjen, duke e b\u00ebr\u00eb t\u00eb dh\u00ebnat t\u00eb paplota. P\u00ebr t\u00eb nxjerr\u00eb t\u00eb dh\u00ebna dhe p\u00ebr t\u00eb shmangur bllokimin, duhet 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 webi kalon n\u00eb nj\u00eb zon\u00eb gri kur b\u00ebhet fjal\u00eb p\u00ebr ligjshm\u00ebrin\u00eb. Site t\u00eb m\u00ebdha si Linkedin dhe Facebook e p\u00ebrcaktojn\u00eb qart\u00eb n\u00eb kushtet e tyre t\u00eb p\u00ebrdorimit se \u00e7do nxjerrje e dh\u00ebnash automatike \u00ebsht\u00eb e ndaluar. Midis kompanive ka pasur shum\u00eb procese gjyq\u00ebsore p\u00ebr shkak t\u00eb aktiviteteve t\u00eb boteve.<\/li>\n<\/ul>\n<h2>Dallimet kryesore midis Data Mining dhe Data Extraction<\/h2>\n<ol>\n<li>Data mining gjithashtu quhet zbulimi i njohurive n\u00eb bazat e t\u00eb dh\u00ebnave, nxjerrja e njohurive, analiza e t\u00eb dh\u00ebnave\/grepat, mbledhja e informacionit. Data extraction p\u00ebrdoret nd\u00ebrruesh\u00ebm me nxjerrjen e t\u00eb dh\u00ebnave nga webi, skanimin e faqeve t\u00eb webit, mbledhjen e t\u00eb dh\u00ebnave etj.<\/li>\n<li>Hulumtimet e data mining zakonisht bazohen n\u00eb t\u00eb dh\u00ebna t\u00eb strukturuara, nd\u00ebrsa kur b\u00ebhet fjal\u00eb p\u00ebr nxjerrjen e t\u00eb dh\u00ebnave, ato zakonisht nxirren nga burime t\u00eb pa-strukturuara ose t\u00eb dob\u00ebsisht t\u00eb strukturuara.<\/li>\n<li>Q\u00ebllimi i data mining \u00ebsht\u00eb ta b\u00ebj\u00eb t\u00eb dh\u00ebnat m\u00eb t\u00eb dobishme p\u00ebr analiz\u00eb. Data extraction \u00ebsht\u00eb mbledhja e t\u00eb dh\u00ebnave n\u00eb nj\u00eb vend ku ato mund t\u00eb ruhen ose p\u00ebrpunohen.<\/li>\n<li>Analiza n\u00eb data mining mb\u00ebshtetet n\u00eb metodat matematikore p\u00ebr t\u00eb zbuluar rregulla ose tendenca. Eksplorimi i t\u00eb dh\u00ebnave bazohet n\u00eb gjuh\u00ebt e programimit ose mjetet e nxjerrjes s\u00eb t\u00eb dh\u00ebnave p\u00ebr t\u00eb m\u00ebsyr\u00eb burimet.<\/li>\n<li>Q\u00ebllimi i data mining \u00ebsht\u00eb t\u00eb gjej\u00eb fakte q\u00eb m\u00eb par\u00eb nuk ishin t\u00eb njohura ose ishin injoruar, nd\u00ebrsa data extraction merret me informacionin ekzistues.<\/li>\n<li>Data mining \u00ebsht\u00eb m\u00eb e komplikuar dhe k\u00ebrkon investime t\u00eb konsiderueshme n\u00eb trajnimin e individ\u00ebve. Data extraction, duke p\u00ebrdorur nj\u00eb mjet 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 humbasin n\u00eb Data. N\u00eb ve\u00e7anti p\u00ebr an\u00ebtar\u00ebt e Habr, kemi krijuar nj\u00eb kod promocional <b>HABR<\/b>, q\u00eb ofron nj\u00eb zbritje shtes\u00eb prej 10% mbi zbritjen e shfaqur 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=\"Le t\u00eb kuptojm\u00eb se \u00e7far\u00eb e ndan Data Mining nga 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\">M\u00ebsimi i profesionit t\u00eb Data Science nga e para<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" 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href=\"https:\/\/skillfactory.ru\/ml-programma-machine-learning-online?utm_source=infopartners&amp;utm_medium=habr&amp;utm_campaign=habr_ML&amp;utm_term=regular&amp;utm_content=211020\">Kursi mbi Machine Learning<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/skillfactory.ru\/math_and_ml?utm_source=infopartners&amp;utm_medium=habr&amp;utm_campaign=habr_MATML&amp;utm_term=regular&amp;utm_content=211020\">Kursi \u00abMatematika dhe Machine Learning p\u00ebr Data Science\u00bb<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/skillfactory.ru\/ml-and-dl?utm_source=infopartners&amp;utm_medium=habr&amp;utm_campaign=habr_MLDL&amp;utm_term=regular&amp;utm_content=211020\">Kursi i avancuar \u00abMachine Learning Pro + Deep Learning\u00bb<\/a><\/noindex><\/li>\n<\/ul>\n<h2>Artikuj t\u00eb rekomanduar<\/h2>\n<ul>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/skillfactory\/blog\/507024\">Si t\u00eb b\u00ebheni Data 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 t\u00eb dh\u00ebnash: nj\u00eb p\u00ebrmbledhje e pagave dhe vendeve t\u00eb pun\u00ebs n\u00eb Rusi dhe jasht\u00eb n\u00eb 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 e nxjerrjes<\/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? Data mining, \u0442\u0430\u043a\u0436\u0435 \u043d\u0430\u0437\u044b\u0432\u0430\u0435\u043c\u044b\u0439 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":97891,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-97890","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"\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. 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