{"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\/sk\/blog\/administrirovanie\/razbiraemsya-v-chem-raznicza-mezhdu-data-mining-i-data-extraction","title":{"rendered":"Rozober\u00e1me, ak\u00fd je rozdiel medzi Data Mining a 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=\"Rozober\u00e1me, ak\u00fd je rozdiel medzi Data Mining a Data Extraction\" src=\"\/wp-content\/uploads\/2020\/10\/bd0e140b564b7f6696b346865a91784f.png\" style=\"display:block;margin: 0 auto;\"><\/a><\/noindex><br \/>\nT t\u00fdchto dvoch m\u00f3dnych slov\u00e1ch, ktor\u00e9 s\u00favisia s Data Science, sa mnoh\u00ed \u013eudia m\u00fdlia. Data Mining sa \u010dasto nespr\u00e1vne ch\u00e1pe ako \u0165a\u017eba a z\u00edskavanie \u00fadajov, ale v skuto\u010dnosti je to ove\u013ea zlo\u017eitej\u0161ie. V tomto pr\u00edspevku si ujasn\u00edme rozdiel medzi Data Mining a Data Extraction.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>\u010co je Data Mining?<\/h2>\n<p>Data mining, tie\u017e naz\u00fdvan\u00fd <strong>Z\u00edskavanie poznatkov z datab\u00e1z (KDD)<\/strong>, predstavuje met\u00f3du, ktor\u00e1 sa \u010dasto pou\u017e\u00edva na anal\u00fdzu ve\u013ek\u00fdch objemov \u00fadajov pomocou \u0161tatistick\u00fdch a matematick\u00fdch met\u00f3d na h\u013eadanie skryt\u00fdch vzorov alebo trendov a na z\u00edskanie hodnoty z nich.<\/p>\n<h2>\u010co sa d\u00e1 urobi\u0165 pomocou Data Mining?<\/h2>\n<p>Automatizovan\u00edm procesu, <noindex><a rel=\"nofollow\" href=\"https:\/\/www.octoparse.com\/blog\/7-web-mining-tools-around-the-web\">n\u00e1stroje data mining<\/a><\/noindex> m\u00f4\u017eu prehliada\u0165 datab\u00e1zy a efekt\u00edvne odha\u013eova\u0165 skryt\u00e9 vzory. Pre podniky sa data mining \u010dasto pou\u017e\u00edva na odhalenie vzorov a vz\u0165ahov v \u00fadajoch, \u010do pom\u00e1ha pri optimaliz\u00e1cii obchodn\u00fdch rozhodnut\u00ed.<\/p>\n<h2>Pr\u00edklady pou\u017eitia<\/h2>\n<p>Ke\u010f sa v 90. rokoch data mining stal be\u017en\u00fdm, firmy v \u0161irokom spektre odvetv\u00ed, vr\u00e1tane maloobchodu, financi\u00ed, zdravotnej starostlivosti, dopravy, telekomunik\u00e1ci\u00ed, elektronick\u00e9ho obchodu at\u010f., za\u010dali vyu\u017e\u00edva\u0165 met\u00f3dy data mining na z\u00edskavanie inform\u00e1ci\u00ed zalo\u017een\u00fdch na \u00fadajoch. Data mining m\u00f4\u017ee pom\u00f4c\u0165 segmentova\u0165 z\u00e1kazn\u00edkov, odhali\u0165 podvody, predpoveda\u0165 predaje a mnoh\u00e9 \u010fal\u0161ie.<\/p>\n<ul>\n<li><b>Segment\u00e1cia z\u00e1kazn\u00edkov<\/b><br \/>\nAnal\u00fdzou \u00fadajov o z\u00e1kazn\u00edkoch a identifikovan\u00edm charakterist\u00edk cie\u013eov\u00fdch z\u00e1kazn\u00edkov m\u00f4\u017eu firmy vytv\u00e1ra\u0165 samostatn\u00e9 skupiny a poskytova\u0165 \u0161peci\u00e1lne ponuky, ktor\u00e9 vyhovuj\u00fa ich potreb\u00e1m.<\/li>\n<li><b>Anal\u00fdza n\u00e1kupn\u00e9ho ko\u0161\u00edka<\/b><br \/>\nT\u00e1to technika je zalo\u017een\u00e1 na te\u00f3rii, \u017ee ak si k\u00fapite ur\u010dit\u00fa skupinu tovaru, pravdepodobne si k\u00fapite aj in\u00fa skupinu tovaru. Jeden zn\u00e1my pr\u00edklad: ke\u010f otcovia kupuj\u00fa plienky pre svoje doj\u010dat\u00e1, zvy\u010dajne kupuj\u00fa pivo spolo\u010dne s plienkami.<\/li>\n<li><b>Predpovedanie predaja<\/b><br \/>\nM\u00f4\u017ee sa to zda\u0165 podobn\u00e9 anal\u00fdze n\u00e1kupn\u00e9ho ko\u0161\u00edka, ale tentoraz sa anal\u00fdza \u00fadajov pou\u017e\u00edva na predpovedanie, kedy z\u00e1kazn\u00edk znovu k\u00fapi produkt v bud\u00facnosti. Napr\u00edklad tr\u00e9ner si k\u00fapi plechovku prote\u00ednu, ktor\u00e1 by mala vydr\u017ea\u0165 9 mesiacov. Obchod, ktor\u00fd pred\u00e1va tento prote\u00edn, pl\u00e1nuje uvies\u0165 na trh nov\u00fd produkt za 9 mesiacov, aby tr\u00e9ner znova nak\u00fapil.<\/li>\n<li><b>Odha\u013eovanie podvodu<\/b><br \/>\nD\u00e1ta mining pom\u00e1ha pri vytv\u00e1ran\u00ed modelov na odha\u013eovanie podvodov. Zbieraj\u00faci vzorky podvodn\u00fdch a pravdiv\u00fdch spr\u00e1v, podniky maj\u00fa pr\u00e1vo ur\u010di\u0165, ktor\u00e9 oper\u00e1cie s\u00fa podozriv\u00e9.<\/li>\n<li><b>Odha\u013eovanie vzorov vo v\u00fdrobe<\/b><br \/>\nV spracovate\u013eskom priemysle sa d\u00e1ta mining pou\u017e\u00edva na pomoc pri navrhovan\u00ed syst\u00e9mov, identifikovan\u00edm s\u00favislost\u00ed medzi architekt\u00farou produktu, profilom a potrebami z\u00e1kazn\u00edkov. Dobyvanie d\u00e1t m\u00f4\u017ee tie\u017e predpoveda\u0165 v\u00fdvojov\u00e9 lehoty produktov a n\u00e1klady.<\/li>\n<\/ul>\n<p>A to s\u00fa len niektor\u00e9 sc\u00e9nare vyu\u017eitia d\u00e1tov\u00e9ho mining.<\/p>\n<h2>F\u00e1zy Data Mining<\/h2>\n<p>Data mining je komplexn\u00fd proces zberu, v\u00fdberu, \u010distenia, transform\u00e1cie a extrakcie d\u00e1t na hodnotenie vzorov a, nakoniec, na z\u00edskanie hodnoty.<\/p>\n<p><img decoding=\"async\" alt=\"Rozober\u00e1me, ak\u00fd je rozdiel medzi Data Mining a Data Extraction\" src=\"\/wp-content\/uploads\/2020\/10\/0f601a9f32e2b9517f1a7deb0e353b5a.png\" style=\"display:block;margin: 0 auto;\"><\/p>\n<p>Celkovo sa cel\u00fd proces dob\u00fdvania d\u00e1t zvy\u010dajne zjednodu\u0161uje na 7 f\u00e1z:<\/p>\n<ol>\n<li><b>\u010cistenie d\u00e1t<\/b><br \/>\nV re\u00e1lnom svete nie s\u00fa d\u00e1ta v\u017edy \u010disten\u00e9 a \u0161trukt\u00farovan\u00e9. \u010casto s\u00fa \u0161umiv\u00e9, ne\u00fapln\u00e9 a m\u00f4\u017eu obsahova\u0165 chyby. Aby sa zabezpe\u010dilo, \u017ee v\u00fdsledok data mining je presn\u00fd, je najsk\u00f4r potrebn\u00e9 d\u00e1ta vy\u010disti\u0165. Niektor\u00e9 met\u00f3dy \u010distenia zah\u0155\u0148aj\u00fa doplnenie ch\u00fdbaj\u00facich hodn\u00f4t, automatick\u00fa a manu\u00e1lnu kontrolu at\u010f.<\/li>\n<li><b>Integr\u00e1cia \u00fadajov<\/b><br \/>\nToto je f\u00e1za, v ktorej s\u00fa d\u00e1ta extrahovan\u00e9, kombinovan\u00e9 a integrovan\u00e9 z r\u00f4znych zdrojov. Zdroje m\u00f4\u017eu obsahova\u0165 datab\u00e1zy, textov\u00e9 s\u00fabory, tabu\u013eky, dokumenty, viacdimenzion\u00e1lne d\u00e1tov\u00e9 pole, internet a podobne.<\/li>\n<li><b>V\u00fdber d\u00e1t<\/b><br \/>\nZvy\u010dajne nie s\u00fa v\u0161etky integrovan\u00e9 d\u00e1ta potrebn\u00e9 pri data mining. V\u00fdber d\u00e1t je f\u00e1za, v ktorej zo \u0161irokej datab\u00e1zy s\u00fa vyberan\u00e9 a extrahovan\u00e9 len u\u017eito\u010dn\u00e9 d\u00e1ta.<\/li>\n<li><b>Transform\u00e1cia d\u00e1t<\/b><br \/>\nPo v\u00fdbere d\u00e1t s\u00fa tieto transformovan\u00e9 na vhodn\u00e9 formy pre \u0165a\u017ebu. Tento proces zah\u0155\u0148a normaliz\u00e1ciu, agreg\u00e1ciu, generaliz\u00e1ciu a in\u00e9.<\/li>\n<li><b>Inteligentn\u00e1 anal\u00fdza d\u00e1t<\/b><br \/>\nTu prich\u00e1dza najd\u00f4le\u017eitej\u0161ia \u010das\u0165 data mining \u2013 pou\u017eitie inteligentn\u00fdch met\u00f3d na vyh\u013ead\u00e1vanie vzorov v nich. Proces zah\u0155\u0148a regresiu, klasifik\u00e1ciu, predpovedanie, zhlukovanie, sk\u00famanie asoci\u00e1ci\u00ed a mnoho in\u00e9ho.<\/li>\n<li><b>Hodnotenie modelu<\/b><br \/>\nT\u00e1to f\u00e1za sa zameriava na identifik\u00e1ciu potenci\u00e1lne u\u017eito\u010dn\u00fdch, \u013eahko pochopite\u013en\u00fdch vzorov, ako aj vzorov potvrdzuj\u00facich hypot\u00e9zy.<\/li>\n<li><b>Prezent\u00e1cia poznatkov<\/b><br \/>\nNa z\u00e1vere\u010dnej etape s\u00fa z\u00edskan\u00e9 inform\u00e1cie prezentovan\u00e9 atrakt\u00edvnym sp\u00f4sobom pomocou metod\u00edk zn\u00e1zor\u0148ovania znalost\u00ed a vizualiz\u00e1cie.<\/li>\n<\/ol>\n<h2>Nev\u00fdhody \u0165a\u017eby d\u00e1t<\/h2>\n<ul>\n<li><b>Ve\u013ek\u00e9 invest\u00edcie \u010dasu a \u00fasilia<\/b><br \/>\nKe\u010f\u017ee \u0165a\u017eba d\u00e1t je dlh\u00fd a zlo\u017eit\u00fd proces, vy\u017eaduje si ve\u013ea pr\u00e1ce produkt\u00edvnych a kvalifikovan\u00fdch os\u00f4b. Odborn\u00edci na inteligentn\u00fa anal\u00fdzu d\u00e1t m\u00f4\u017eu vyu\u017ei\u0165 mocn\u00e9 n\u00e1stroje na \u0165a\u017ebu d\u00e1t, av\u0161ak potrebuj\u00fa \u0161pecialistov na pr\u00edpravu d\u00e1t a pochopenie v\u00fdsledkov. V d\u00f4sledku toho m\u00f4\u017ee spracovanie v\u0161etk\u00fdch inform\u00e1ci\u00ed trva\u0165 ur\u010dit\u00fd \u010das.<\/li>\n<li><b>Ochrana s\u00fakromia a bezpe\u010dnos\u0165 d\u00e1t<\/b><br \/>\nKe\u010f\u017ee \u0165a\u017eba d\u00e1t zhroma\u017e\u010fuje inform\u00e1cie o klientoch pomocou trhov\u00fdch met\u00f3d, m\u00f4\u017ee naru\u0161i\u0165 d\u00f4vernos\u0165 pou\u017e\u00edvate\u013eov. Navy\u0161e, hackeri m\u00f4\u017eu z\u00edska\u0165 d\u00e1ta ulo\u017een\u00e9 v syst\u00e9moch \u0165a\u017eby d\u00e1t. To predstavuje hrozbu pre bezpe\u010dnos\u0165 z\u00e1kazn\u00edckych d\u00e1t. Ak s\u00fa ukradnut\u00e9 d\u00e1ta zneu\u017eit\u00e9, m\u00f4\u017ee to \u013eahko ubl\u00ed\u017ei\u0165 in\u00fdm.<\/li>\n<\/ul>\n<blockquote><p>Vy\u0161\u0161ie bolo uveden\u00e9 kr\u00e1tke \u00favod do \u0165a\u017eby d\u00e1t. Ako som u\u017e spom\u00ednala, \u0165a\u017eba d\u00e1t obsahuje proces zhroma\u017e\u010fovania a integr\u00e1cie d\u00e1t, ktor\u00fd zah\u0155\u0148a aj proces extrakcie d\u00e1t. V tomto pr\u00edpade m\u00f4\u017eeme s istotou poveda\u0165, \u017ee extrakcia d\u00e1t m\u00f4\u017ee by\u0165 s\u00fa\u010das\u0165ou dlh\u00e9ho procesu \u0165a\u017eby d\u00e1t.<\/p><\/blockquote>\n<h2>\u010co je to extrakcia d\u00e1t?<\/h2>\n<p>Tento proces, zn\u00e1my aj ako 'extrakcia webov\u00fdch d\u00e1t' a 'web scraping', predstavuje \u010din extrakcie d\u00e1t z (zvy\u010dajne \u0161trukt\u00farovan\u00fdch alebo slab\u00fdch \u0161trukt\u00farovan\u00fdch) zdrojov do centralizovan\u00fdch miest a ich centraliz\u00e1ciu na jednom mieste na ukladanie alebo \u010fal\u0161ie spracovanie. Konkr\u00e9tne, medzi ne\u0161trukt\u00farovan\u00e9 zdroje d\u00e1t patr\u00ed webov\u00e9 str\u00e1nky, e-maily, dokumenty, s\u00fabory PDF, naskenovan\u00fd text, spr\u00e1vy z mainframov, s\u00fabory na kot\u00fa\u010de, inzer\u00e1ty at\u010f. Centralizovan\u00e9 \u00falo\u017eisk\u00e1 m\u00f4\u017eu by\u0165 lok\u00e1lne, cloudov\u00e9 alebo hybridn\u00e9. Je d\u00f4le\u017eit\u00e9 ma\u0165 na pam\u00e4ti, \u017ee extrakcia d\u00e1t nezah\u0155\u0148a spracovanie ani in\u00e9 anal\u00fdzy, ktor\u00e9 m\u00f4\u017eu nasta\u0165 nesk\u00f4r.<\/p>\n<h2>\u010co sa d\u00e1 robi\u0165 s pomocou extrakcie d\u00e1t?<\/h2>\n<p>Ciele extrakcie d\u00e1t s\u00fa preva\u017ene rozdelen\u00e9 do 3 kateg\u00f3ri\u00ed.<\/p>\n<ul>\n<li><b>Archiv\u00e1cia<\/b><br \/>\nExtrakcia d\u00e1t m\u00f4\u017ee previes\u0165 \u00fadaje z fyzick\u00fdch form\u00e1tov, ako s\u00fa knihy, noviny, fakt\u00fary, do digit\u00e1lnych form\u00e1tov, napr\u00edklad datab\u00e1z pre ukladanie alebo z\u00e1lohovanie.<\/li>\n<li><b>Zmena form\u00e1tu d\u00e1t<\/b><br \/>\nKe\u010f chcete prenies\u0165 \u00fadaje zo svojej aktu\u00e1lnej str\u00e1nky na nov\u00fa, ktor\u00e1 je vo f\u00e1ze v\u00fdvoja, m\u00f4\u017eete zhroma\u017edi\u0165 \u00fadaje zo svojej vlastnej str\u00e1nky t\u00fdm, \u017ee ich extrahujete.<\/li>\n<li><b>Anal\u00fdza d\u00e1t<\/b><br \/>\nRoz\u0161\u00edren\u00e1 anal\u00fdza extrahovan\u00fdch d\u00e1t sa \u010dasto vykon\u00e1va pre z\u00edskanie preh\u013eadu o nich. M\u00f4\u017ee to vyzera\u0165 podobne ako anal\u00fdza d\u00e1t pri data miningu, ale majte na pam\u00e4ti, \u017ee anal\u00fdza d\u00e1t je cie\u013eom ich extrakcie, ale nie jej s\u00fa\u010das\u0165ou. Navy\u0161e, \u00fadaje sa analyzuj\u00fa inak. Jedn\u00fdm z pr\u00edkladov je, \u017ee vlastn\u00edci internetov\u00fdch obchodov extrahuj\u00fa inform\u00e1cie o produktoch z webov\u00fdch str\u00e1nok elektronick\u00e9ho obchodu, ako je Amazon, aby v re\u00e1lnom \u010dase monitorovali strat\u00e9gie konkurencie. Rovnako ako data mining, aj extrakcia d\u00e1t je automatizovan\u00fd proces s mnoh\u00fdmi v\u00fdhodami. Predt\u00fdm \u013eudia ru\u010dne kop\u00edrovali a vkladali \u00fadaje z jedn\u00e9ho miesta na druh\u00e9, \u010do ve\u013emi \u010dasu \u017eralo. Extrakcia d\u00e1t zr\u00fdch\u013euje zber a v\u00fdrazne zvy\u0161uje presnos\u0165 extrahovan\u00fdch \u00fadajov.<\/li>\n<\/ul>\n<h2>Niektor\u00e9 pr\u00edklady vyu\u017eitia extrakcie d\u00e1t<\/h2>\n<p>Podobne ako data mining, extrakcia d\u00e1t sa \u0161iroko vyu\u017e\u00edva v r\u00f4znych priemyseln\u00fdch odvetviach. Okrem monitorovania cien v elektronickom obchode m\u00f4\u017ee extrakcia d\u00e1t pom\u00f4c\u0165 vo vlastnom v\u00fdskume, agregovan\u00ed spr\u00e1v, marketingu, v oblasti nehnute\u013enost\u00ed, cestovnom ruchu, v poradenstve, financi\u00e1ch a mnoh\u00fdch \u010fal\u0161\u00edch.<\/p>\n<ul>\n<li><b>Generovanie leadov<\/b><br \/>\nSpolo\u010dnosti m\u00f4\u017eu extrahova\u0165 \u00fadaje z katal\u00f3gov ako Yelp, Crunchbase, Yellowpages a generova\u0165 leady na rozvoj podnikania. M\u00f4\u017eete sa pozrie\u0165 na video ni\u017e\u0161ie a zisti\u0165, ako extrahova\u0165 d\u00e1ta z Yellowpages pomocou <noindex><a rel=\"nofollow\" href=\"https:\/\/www.octoparse.com\/blog\/big-announcement-web-scraping-template-take-away\">\u0161abl\u00f3ny 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>Agreg\u00e1cia obsahu a spr\u00e1v<\/b><br \/>\nAgreg\u00e1tory obsahu m\u00f4\u017eu pravidelne z\u00edskava\u0165 pr\u00fady d\u00e1t z viacer\u00fdch zdrojov a udr\u017eiava\u0165 svoje str\u00e1nky aktu\u00e1lne.<\/li>\n<li><b>Anal\u00fdza sentimentu<\/b><br \/>\nPo extrakcii recenzi\u00ed, koment\u00e1rov a hodnoten\u00ed zo soci\u00e1lnych siet\u00ed ako Instagram a Twitter m\u00f4\u017eu odborn\u00edci analyzova\u0165 skryt\u00e9 n\u00e1zory a z\u00edska\u0165 preh\u013ead o tom, ako je zna\u010dka, produkt alebo jav vn\u00edman\u00fd.<\/li>\n<\/ul>\n<h2>Kroky extrakcie d\u00e1t<\/h2>\n<p>Extrakcia d\u00e1t je prv\u00e1 f\u00e1za ETL (skratka pre Extract, Transform, Load: extrakcia, transform\u00e1cia, na\u010d\u00edtanie) a ELT (extrakcia, na\u010d\u00edtanie a transform\u00e1cia). ETL a ELT s\u00fa sami o sebe s\u00fa\u010das\u0165ou komplexnej strat\u00e9gie integr\u00e1cie d\u00e1t. In\u00fdmi slovami, extrakcia d\u00e1t m\u00f4\u017ee by\u0165 \u010das\u0165ou procesu ich \u0165a\u017eby.<\/p>\n<p><img decoding=\"async\" alt=\"Rozober\u00e1me, ak\u00fd je rozdiel medzi Data Mining a Data Extraction\" src=\"\/wp-content\/uploads\/2020\/10\/25128c2d46b3bc383606efde5862b480.png\" style=\"display:block;margin: 0 auto;\"><br \/>\nExtrakcia, transform\u00e1cia, na\u010d\u00edtanie<\/p>\n<p>Zatia\u013e \u010do \u0165a\u017eba \u00fadajov je proces z\u00edskavania inform\u00e1ci\u00ed z ve\u013ek\u00fdch objemov \u00fadajov, extrakcia \u00fadajov je ove\u013ea krat\u0161\u00ed a jednoduch\u0161\u00ed proces. Ten sa m\u00f4\u017ee zredukova\u0165 na tri f\u00e1zy:<\/p>\n<ol>\n<li><b>V\u00fdber zdroja d\u00e1t<\/b><br \/>\nVyberte zdroj, z ktor\u00e9ho chcete extrahova\u0165 \u00fadaje, napr\u00edklad webov\u00fa str\u00e1nku.<\/li>\n<li><b>Zber d\u00e1t<\/b><br \/>\nOdo\u0161lite po\u017eiadavku \"GET\" na str\u00e1nku a analyzujte z\u00edskan\u00fd dokument HTML pomocou programovac\u00edch jazykov ako Python, PHP, R, Ruby a \u010fal\u0161\u00edch.<\/li>\n<li><b>Ukladanie d\u00e1t<\/b><br \/>\nUlo\u017ete \u00fadaje do svojej miestnej datab\u00e1zy alebo do cloudov\u00e9ho \u00falo\u017eiska na bud\u00face vyu\u017eitie. Ak ste sk\u00fasen\u00fd program\u00e1tor, ktor\u00fd chce extrahova\u0165 \u00fadaje, vy\u0161\u0161ie uveden\u00e9 kroky sa v\u00e1m m\u00f4\u017eu zda\u0165 jednoduch\u00e9. Av\u0161ak, ak neprogramujete, existuje skr\u00e1ten\u00e1 cesta - pou\u017eite n\u00e1stroje na extrakciu d\u00e1t, napr\u00edklad <noindex><a rel=\"nofollow\" href=\"http:\/\/www.octoparse.com\/\">Octoparse<\/a><\/noindex>. N\u00e1stroje na extrakciu d\u00e1t, podobne ako n\u00e1stroje na \u0165a\u017ebu \u00fadajov, s\u00fa navrhnut\u00e9 tak, aby \u0161etrili energiu a u\u013eah\u010dili spracovanie d\u00e1t pre v\u0161etk\u00fdch. Tieto n\u00e1stroje s\u00fa nielen cenovo efekt\u00edvne, ale aj pou\u017e\u00edvate\u013esky pr\u00edvetiv\u00e9 pre za\u010diato\u010dn\u00edkov. Umo\u017e\u0148uj\u00fa pou\u017e\u00edvate\u013eom zhroma\u017e\u010fova\u0165 \u00fadaje za nieko\u013eko min\u00fat, uklada\u0165 ich do cloudu a exportova\u0165 ich do mnoh\u00fdch form\u00e1tov: Excel, CSV, HTML, JSON alebo do datab\u00e1z na str\u00e1nke cez API.<\/li>\n<\/ol>\n<h2>Nev\u00fdhody extrakcie d\u00e1t<\/h2>\n<ul>\n<li><b>Zlyhanie servera<\/b><br \/>\nPri extrakcii d\u00e1t vo ve\u013ekom rozsahu m\u00f4\u017ee by\u0165 webov\u00fd server cie\u013eovej str\u00e1nky pre\u0165a\u017een\u00fd, \u010do m\u00f4\u017ee vies\u0165 k jeho zlyhaniu. To po\u0161kod\u00ed z\u00e1ujmy vlastn\u00edka str\u00e1nky.<\/li>\n<li><b>Blokovanie pod\u013ea IP<\/b><br \/>\nKe\u010f niekto pr\u00edli\u0161 \u010dasto zhroma\u017e\u010fuje \u00fadaje, webov\u00e9 str\u00e1nky m\u00f4\u017eu zablokova\u0165 jeho IP adresu. Zdroju m\u00f4\u017ee by\u0165 \u00faplne zak\u00e1zan\u00fd pr\u00edstup na z\u00e1kladne IP adresy alebo m\u00f4\u017ee by\u0165 obmedzen\u00fd, \u010do sp\u00f4sob\u00ed, \u017ee \u00fadaje bud\u00fa ne\u00fapln\u00e9. Aby ste mohli extrahova\u0165 \u00fadaje a vyhn\u00fa\u0165 sa blokovaniu, treba to robi\u0165 miernou r\u00fdchlos\u0165ou a aplikova\u0165 niektor\u00e9 anti-blokovacie met\u00f3dy.<\/li>\n<li><b>Pr\u00e1vne probl\u00e9my<\/b><br \/>\nZ\u00edskavanie \u00fadajov z webu sa ocit\u00e1 v \u0161edej z\u00f3ne, pokia\u013e ide o leg\u00e1lnos\u0165. Ve\u013ek\u00e9 str\u00e1nky, ako Linkedin a Facebook, jasne uv\u00e1dzaj\u00fa vo svojich podmienkach pou\u017e\u00edvania, \u017ee ak\u00e9ko\u013evek automatick\u00e9 z\u00edskavanie \u00fadajov je zak\u00e1zan\u00e9. Medzi spolo\u010dnos\u0165ami sa uskuto\u010dnilo ve\u013ea s\u00fadnych sporov kv\u00f4li \u010dinnosti botov.<\/li>\n<\/ul>\n<h2>K\u013e\u00fa\u010dov\u00e9 rozdiely medzi Data Mining a Data Extraction<\/h2>\n<ol>\n<li>Data mining sa tie\u017e naz\u00fdva objavovanie poznatkov v datab\u00e1zach, z\u00edskavanie poznatkov, anal\u00fdza \u00fadajov\/\u0161abl\u00f3n, zber inform\u00e1ci\u00ed. Data extraction sa pou\u017e\u00edva zamenite\u013ene so z\u00edskavan\u00edm \u00fadajov z webu, preh\u013ead\u00e1van\u00edm webov\u00fdch str\u00e1nok, zberom \u00fadajov a podobne.<\/li>\n<li>V\u00fdskum data mining je preva\u017ene zalo\u017een\u00fd na \u0161trukt\u00farovan\u00fdch \u00fadajoch, zatia\u013e \u010do pri z\u00edskavan\u00ed \u00fadajov sa spravidla z\u00edskavaj\u00fa z ne\u0161trukt\u00farovan\u00fdch alebo slab\u0161ie \u0161trukt\u00farovan\u00fdch zdrojov.<\/li>\n<li>Cie\u013eom data mining je spravi\u0165 \u00fadaje u\u017eito\u010dnej\u0161\u00edmi na anal\u00fdzu. Data extraction je zber \u00fadajov na jedno miesto, kde m\u00f4\u017eu by\u0165 ulo\u017een\u00e9 alebo spracovan\u00e9.<\/li>\n<li>Anal\u00fdza pri data mining je zalo\u017een\u00e1 na matematick\u00fdch met\u00f3dach odha\u013eovania vzorcov alebo trendov. Data extraction sa zaklad\u00e1 na programovac\u00edch jazykoch alebo n\u00e1strojoch na z\u00edskavanie \u00fadajov na prech\u00e1dzanie zdrojmi.<\/li>\n<li>Cie\u013eom data mining je n\u00e1js\u0165 fakty, ktor\u00e9 predt\u00fdm neboli zn\u00e1me alebo ignorovan\u00e9, zatia\u013e \u010do data extraction sa zaober\u00e1 existuj\u00facimi inform\u00e1ciami.<\/li>\n<li>Data mining je zlo\u017eitej\u0161ie a vy\u017eaduje v\u00e4\u010d\u0161ie invest\u00edcie do \u0161kolenia \u013eud\u00ed. Data extraction m\u00f4\u017ee by\u0165 pri pou\u017eit\u00ed vhodn\u00e9ho n\u00e1stroja mimoriadne jednoduch\u00e9 a n\u00e1kladovo efekt\u00edvne.<\/li>\n<\/ol>\n<p>Pom\u00e1hame za\u010diato\u010dn\u00edkom nestrati\u0165 sa v \u00fadajoch. \u0160peci\u00e1lne pre hub\u00e1\u010dov sme vytvorili promo k\u00f3d <b>HABR<\/b>, ktor\u00fd poskytuje dodato\u010dn\u00fa z\u013eavu 10% na z\u013eavu uveden\u00fa na bannery.<\/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=\"Rozober\u00e1me, ak\u00fd je rozdiel medzi Data Mining a 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\" 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href=\"https:\/\/habr.com\/ru\/company\/skillfactory\/blog\/520540\/\">Ko\u013eko zar\u00e1ba analytik d\u00e1t: preh\u013ead platov a pracovn\u00fdch miest v Rusku a v zahrani\u010d\u00ed v roku 2020<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/skillfactory\/blog\/522776\/\">Strojov\u00e9 u\u010denie a po\u010d\u00edta\u010dov\u00e9 videnie v \u0165a\u017eobnom priemysle<\/a><\/noindex><\/li>\n<\/ul>\n<p>Zdroj: <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 5.0.4 - aioseo.com -->\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/prohoster.info\/sk\/blog\/administrirovanie\/razbiraemsya-v-chem-raznicza-mezhdu-data-mining-i-data-extraction\" \/>\n\t\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.4\" \/>\n\t\t<meta property=\"og:locale\" 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