[{"@context":"https:\/\/schema.org\/","@type":"Article","@id":"https:\/\/www.extip.sk\/zoznamte-sa-s-bigdatami\/#Article","mainEntityOfPage":"https:\/\/www.extip.sk\/zoznamte-sa-s-bigdatami\/","headline":"Zozn\u00e1mte sa s BigDatami","name":"Zozn\u00e1mte sa s BigDatami","description":"Kateg\u00f3ria \u201eVe\u013ek\u00e9 \u00fadaje\u201c ozna\u010duje inform\u00e1cie, ktor\u00e9 u\u017e nie je mo\u017en\u00e9 spracov\u00e1va\u0165 tradi\u010dn\u00fdmi sp\u00f4sobmi, vr\u00e1tane \u0161trukt\u00farovan\u00fdch \u00fadajov, m\u00e9di\u00ed a n\u00e1hodn\u00fdch objektov. Z n\u00e1zvu sa d\u00e1 predpoklada\u0165, \u017ee v\u00fdraz &#8222;ve\u013ek\u00e9 \u00fadaje&#8220; sa t\u00fdka jednoducho riadenia a anal\u00fdzy ve\u013ek\u00e9ho mno\u017estva \u00fadajov. Met\u00f3dy anal\u00fdzy <a class=\"more-link\" href=\"https:\/\/www.extip.sk\/zoznamte-sa-s-bigdatami\/\">\u010c\u00edst d\u00e1le ...<\/a>","datePublished":"2018-02-25","dateModified":"2018-02-25","author":{"@type":"Person","@id":"https:\/\/www.extip.sk\/author\/#Person","name":"","url":"https:\/\/www.extip.sk\/author\/","identifier":1,"image":{"@type":"ImageObject","@id":"https:\/\/secure.gravatar.com\/avatar\/32bc2d377216483c132a3bbf038b8838926e0616f1b3d0e9cb50d997f0b052ba?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/32bc2d377216483c132a3bbf038b8838926e0616f1b3d0e9cb50d997f0b052ba?s=96&d=mm&r=g","height":96,"width":96}},"publisher":{"@type":"Organization","name":"extip.sk","logo":{"@type":"ImageObject","@id":"\/logo.png","url":"\/logo.png","width":600,"height":60}},"image":{"@type":"ImageObject","@id":"https:\/\/www.extip.sk\/wp-content\/uploads\/img_a287224_w2027_t1524665464.jpg","url":"https:\/\/www.extip.sk\/wp-content\/uploads\/img_a287224_w2027_t1524665464.jpg","height":0,"width":0},"url":"https:\/\/www.extip.sk\/zoznamte-sa-s-bigdatami\/","about":["Www"],"wordCount":370,"articleBody":"Kateg\u00f3ria \u201eVe\u013ek\u00e9 \u00fadaje\u201c ozna\u010duje inform\u00e1cie, ktor\u00e9 u\u017e nie je mo\u017en\u00e9 spracov\u00e1va\u0165 tradi\u010dn\u00fdmi sp\u00f4sobmi, vr\u00e1tane \u0161trukt\u00farovan\u00fdch \u00fadajov, m\u00e9di\u00ed a n\u00e1hodn\u00fdch objektov. Z n\u00e1zvu sa d\u00e1 predpoklada\u0165, \u017ee v\u00fdraz &#8222;ve\u013ek\u00e9 \u00fadaje&#8220; sa t\u00fdka jednoducho riadenia a anal\u00fdzy ve\u013ek\u00e9ho mno\u017estva \u00fadajov.Met\u00f3dy anal\u00fdzy ve\u013ek\u00fdch d\u00e1t\u00a0\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Testovanie A \/ B\u00a0.\u00a0Technika, pri ktorej sa kontroln\u00e1 vzorka porovn\u00e1va s in\u00fdmi.\u00a0Preto je mo\u017en\u00e9 ur\u010di\u0165 optim\u00e1lnu kombin\u00e1ciu ukazovate\u013eov, aby sa dosiahla napr\u00edklad najlep\u0161ia reakcia spotrebite\u013eov na marketingov\u00fd n\u00e1vrh.\u00a0Ve\u013ek\u00e9 \u00fadaje\u00a0umo\u017e\u0148uj\u00fa vykona\u0165 obrovsk\u00e9 mno\u017estvo opakovan\u00ed a z\u00edska\u0165 tak \u0161tatisticky spo\u013eahliv\u00fd v\u00fdsledok.\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Klasifik\u00e1cia\u00a0.\u00a0S\u00fabor techn\u00edk, ktor\u00fd umo\u017e\u0148uje predpoveda\u0165 spr\u00e1vanie spotrebite\u013eov v ur\u010ditom segmente trhu (rozhodovanie o n\u00e1kupe, objem spotreby at\u010f.).\u00a0Pou\u017e\u00edva sa pri\u00a0z\u00edskavan\u00ed \u00fadajov.\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Anal\u00fdza klastrov\u00a0.\u00a0\u0160tatistick\u00e1 met\u00f3da klasifik\u00e1cie objektov do skup\u00edn identifik\u00e1ciou nezn\u00e1mych spolo\u010dn\u00fdch prvkov.\u00a0Pou\u017e\u00edva sa pri\u00a0z\u00edskavan\u00ed \u00fadajov\u00a0.\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Crowdsourcing\u00a0.\u00a0Met\u00f3dy zhroma\u017e\u010fovania \u00fadajov z ve\u013ek\u00e9ho mno\u017estva zdrojov.\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Sp\u00e1janie \u00fadajov a integr\u00e1cia \u00fadajov\u00a0.\u00a0S\u00fabor techn\u00edk, ktor\u00fd v\u00e1m umo\u017en\u00ed analyzova\u0165 koment\u00e1re pou\u017e\u00edvate\u013eov soci\u00e1lnych siet\u00ed a porovna\u0165 ich s v\u00fdsledkami predaja v re\u00e1lnom \u010dase.\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Uskuto\u010d\u0148ovanie \u0161t\u00fadia\u00a0.\u00a0V tejto met\u00f3de sa podie\u013eaj\u00fa mnoh\u00e9 predikat\u00edvne modely, \u010d\u00edm sa zlep\u0161uje kvalita predpovedan\u00fdch predpokladov.\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Strojov\u00e9 u\u010denie\u00a0.\u00a0Smer v\u00a0informatike ktor\u00e9ho cie\u013eom je vytvori\u0165 algoritmus u\u010denia, ktor\u00fd je zalo\u017een\u00fd na anal\u00fdze empirick\u00fdch d\u00e1t.\u00a0Fakty:\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Ve\u013ek\u00e9 \u00fadaje s\u00fa navrhnut\u00e9 tak, aby zvl\u00e1dli r\u00fdchlej\u0161ie prijat\u00e9 a meniace sa inform\u00e1cie, \u010do znamen\u00e1 hlbok\u00fd v\u00fdskum a interaktivitu. V niektor\u00fdch pr\u00edpadoch sa v\u00fdsledky generuj\u00fa r\u00fdchlej\u0161ie ne\u017e je na\u010d\u00edtan\u00e1 webov\u00e1 str\u00e1nka.\t\tBig D\u00e1ta s\u00fa ur\u010den\u00e9 pre spracovanie ne\u0161trukt\u00farovan\u00fdch d\u00e1t a ich pou\u017eitie,\t\tVe\u013ek\u00e9 \u00fadaje s\u00fa navrhnut\u00e9 tak, aby zvl\u00e1dli v\u00e4\u010d\u0161ie mno\u017estvo inform\u00e1ci\u00ed ako business intelligence.\u00a0                                                                                                                                                                                                                                                                                                                                                                                        3.9\/5 - (9 votes)        "},{"@context":"https:\/\/schema.org\/","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Zozn\u00e1mte sa s BigDatami","item":"https:\/\/www.extip.sk\/zoznamte-sa-s-bigdatami\/#breadcrumbitem"}]}]